Japanese/English



      

Yusuke NOJIMA, Dr.

Assistant Professor

Computational Intelligence Lab.

Dept. of Computer Science and Intelligent Systems

Graduate School of Engineering

Osaka Prefecture University

E-mail: nojima (at) cs.osakafu-u.ac.jp

Address: 1-1 Gakuen-cho, Sakai, Osaka 599-8531, Japan

Phone: +81-72-254-9198, FAX: +81-72-254-9915

Announcement:

Research Interest:

Genetic Fuzzy Systems, Fuzzy Data Mining, Evolutinary Multiobjective Optimization

Biography:

1999: Bachelor of Engineering: Osaka Institute of Technology, JAPAN

2001: Master of Engineering: Osaka Institute of Technology, JAPAN

2004: Doctor of Engineering: Kobe University, JAPAN

2004: Research Associate: Osaka Prefecture University, JAPAN

2007: Assistant Professor: Osaka Prefecture University, JAPAN


 Publications:

- Book Chapter-

  1. H. Ishibuchi and Y. Nojima, "Multiobjective Genetic Fuzzy Systems," In C. L. Mumford and L. C. Jain (eds.): Computational Intelligence: Collaboration, Fusion and Emergence , Springer, Berlin, pp. 131-173 (Chapter 5), July 2009.
  2. H. Ishibuchi, Y. Hitotsuyanagi, N. Tsukamoto, and Y. Nojima, "Implementation of Multiobjective Memetic Algorithms for Combinatorial Optimization Problems: A Knapsack Problem Case Study," In C. K. Goh, Y. S. Ong, and K. C. Tan (eds.): Multi-Objective Memetic Algorithms, Springer, Berlin, pp. 27-49 (Chapter 2), Feburary 2009.
  3. H. Ishibuchi, Y. Nojima, and I. Kuwajima, "Evolutionary Multiobjective Design of Fuzzy Rule-based Classifiers," In J. Fulcher and L. C. Jain (eds.): Computational Intelligence: A Compendium, Springer, Berlin, pp. 641-685 (Chapter 15), July 2008.
  4. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Evolutionary Multiobjective Rule Selection for Classification Rule Mining," In A. Ghosh, K. S. Dehuri, and S. Ghosh (eds.): Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases, Springer, Berlin, pp. 47-70 (Chapter 3), March 2008.
  5. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Multiobjective Classification Rule Mining," In J. Knowles, D. Corne, and K. Deb (eds.): Multiobjective Problem Solving from Nature: From Concepts to Applications, Springer, Berlin, pp. 219-240, January 2008.
  6. H. Ishibuchi and Y. Nojima, "Pattern Classification with Linguistic Rules," In H. Bustince, F. Herrera, and J. Montero (eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision, Springer, Berlin, pp. 377-395, November 2007.
  7. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection," In P. Melin, O. Castillo, E. G. Ramirez, J. Kacprzyk and W. Pedrycz (ed.): Analysis and Design of Intelligent Systems using Soft Computing Techniques (Advances in Soft Computing 41), Springer, Berlin, pp. 387-396, 2007.
  8. H. Ishibuchi, Y. Nojima, "Fuzzy Ensemble Design through Multiobjective Fuzzy Rule Selection," In Y. Jin (ed.): Multi-Objective Machine Learning, Springer, Berlin, pp.507-530, 2006.
  9. Y. Nojima, F. Kojima, N. Kubota, "Local Episode-based Learning of a Mobile Robot in a Dynamic Environment," Dynamic Systems Approach for Embodiment and Sociality -From Ecological Psychology to Robotics-, International Series on Advanced Intelligence Vol.6, pp.318-322, 2003.

- Journal -

  1. H. Ishibuchi, Y. Nakashima, and Y. Nojima, "Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning," Soft Computing, vol. 15, no. 12, pp. 2415-2434, November 2011.
  2. R. Alcala, Y. Nojima, F. Herrera, and H. Ishibuchi, "Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions," Soft Computing, vol. 15, no. 12, pp. 2303-2318, November 2011.
  3. H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima, "Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization," Soft Computing, vol. 15, no. 9, pp. 1749-1767, September 2011.
  4. H. Ishibuchi, H. Ohyanagi, and Y. Nojima, "Evolution of strategies with different representation schemes in a spatial iterated prisoner's dilemma game," IEEE Trans. on Computational Intelligence and AI in Games, vol. 3, no. 1, pp. 67-82, March 2011.PDF
  5. H. Ishibuchi, Y. Kaisho, and Y. Nojima, "Design of linguistically interpretable fuzzy rule-based classifiers: A short review and open questions," Journal of Multiple-Valued Logic and Soft Computing, vol. 17, no. 2-3, pp. 101-134, 2011.
  6. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Diversity improvement by non-geometric binary crossover in evolutionary multiobjective optimization," IEEE Transactions on Evolutionary Computation, vol. 14, no. 6, pp. 985-998, December 2010. PDF
  7. Y. Nojima, Y. Hamada, and H. Ishibuchi, "Application of interactive fuzzy data mining to the analysis of inter-vehicle communication in traffic simulations," ICGST International Journal on Automation, Robotics and Autonomous Systems, vol. 9, no. 2, pp. 17-25, December 2009.
  8. Y. Nojima and H. Ishibuchi, "Incorporation of user preference into multi-objective genetic fuzzy rule selection for pattern classification problems," Artificial Life and Robotics, vol. 14, no. 3, pp. 418-421, December 2009.
  9. Y. Hamada, Y. Nojima and H. Ishibuchi, "Use of multi-objective genetic rule selection for examining the effectiveness of inter-vehicle communication in traffic simulations," Artificial Life and Robotics, vol. 14, no. 3, pp. 410-413, December 2009.
  10. H. Ohyanagi, Y. Wakamatsu, Y. Nakashima, Y. Nojima and H. Ishibuchi, "Evolution of cooperative behavior among heterogeneous agents with different strategy representations in an iterated prisoner's dilemma," Artificial Life and Robotics, vol. 14, no. 3, pp. 414-417, December 2009.
  11. H. Ishibuchi, Y. Hitotsuyanagi, N. Tsukamoto, and Y. Nojima, "Use of biased neighborhood structures in multi-objective memetic algorithms," Soft Computing, vol. 13, no. 8-9, pp. 795-810, July 2009. PDF
  12. Y. Nojima, H. Ishibuchi, and I. Kuwajima, "Parallel distributed genetic fuzzy rule selection," Soft Computing, vol. 13, no. 5, pp. 511-519, March 2009.PDF
  13. N. Tsukamoto, Y. Nojima, and H. Ishibuchi, "Effects of non-geometric binary crossover on multiobjective 0/1 knapsack problems," Artificial Life and Robotics, vol. 13, no. 2, pp. 434-437, February 2009.
  14. I. Kuwajima, Y. Nojima, and H. Ishibuchi, "Effects of constructing fuzzy discretization from crisp discretization for rule-based classifiers," Artificial Life and Robotics, vol. 13, no. 1, pp. 294-297, December 2008.
  15. I. Kuwajima, Y. Nojima, and H. Ishibuchi, "Obtaining accurate classifiers with Pareto-optimal and near Pareto-optimal rules," Artificial Life and Robotics, vol. 13, no. 1, pp. 315-319, December 2008.
  16. H. Ishibuchi. K. Narukawa, N. Tsukamoto, and Y. Nojima, "An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization," European Journal of Operational Research, vol. 188, no. 1, pp. 57-75, July 2008. PDF
  17. Y. Nojima and H. Ishibuchi, "Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design," International Journal of Hybrid Intelligent Systems, vol. 4, no. 3, pp. 157-169, October 2007.
  18. H. Ishibuchi and Y. Nojima, "Analysis of interpretability-accuracy tradeoff by multiobjective fuzzy genetics-based machine learning," International Journal of Approximate Reasoning, Vol. 44, No. 1, pp. 4-31, January 2007. PDF
  19. H. Ishibuchi and Y. Nojima, "Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers," International Journal of Hybrid Intelligent Systems, Vol. 3, No. 3, pp. 129-145, 2006.
  20. N. Kubota, Y. Nojima, F. Kojima, and T. Fukuda, "Multiple fuzzy state-value functions for human evaluation through interactive trajectory planning of a partner robot," Soft Computing, Vol. 10, No. 10, pp.891-901, 2006.
  21. H. Ishibuchi, K. Narukawa, and Y. Nojima, "Handling of overlapping objective vectors in evolutionary multiobjective optimization," International Journal of Computational Intelligence Research, Vol. 1, No. 1, pp. 1-18, 2005.
  22. N. Kubota, Y. Nojima, F. Kojima, T. Fukuda, and S. Shibata, "Path planning and control for a flexible transfer system," Journal of Robotics & Mechatronics, Vol.12, No.2, pp.103-109, April 2000.

- International Conference -

  1. H. Ishibuchi, S. Mihara, and Y. Nojima, "Training data subdivision and periodical rotation in hybrid fuzzy genetics-based machine learning," Proc. of 10th International Conference on Machine Learning and Applications, pp. 229-234, Honolulu, Hawaii, USA, December 18-21, 2011.
  2. Y. Nojima and H. Ishibuchi, "Mobile robot controller design by evolutionary multiobjective optimization in multiagent environments," Lecture Notes in Artificial Intelligence 7102: Intelligent Robotics and Applications - ICIRA 2011, Part II, pp. 515-524, Springer, Heidelberg, December 2011.
  3. S. Fukuda, B. De Baets, and Y. Nojima, "Comparing predictive accuracy of a genetic Takagi-Sugeno fuzzy model and random forests for fish habitat modelling," Proc. of International Workshop on Advanced Computational Intelligence and Intelligent Informatics, (CD-ROM, 6 pages), Suzhou, China, November 19-23, 2011. Session Best Presentation Award (Presenter: S. Fukuda)
  4. Y. Nojima, S. Mihara, and H. Ishibuchi, "Parallel distributed genetic rule selection of association rules," Abstract Booklet of International Workshop on Simulation and Modeling related to Computational Science and Robotics Technology, pp. 34-35, Kobe, Japan, November 1-3, 2011.
  5. S. Mihara. Y. Nojima, and H. Ishibuchi, "Relation between migration interval and data rotation interval in parallel distributed fuzzy GBML," Proc. of 12th International Symposium on Advanced Intelligent Systems, pp. 346-349, Suwon, Korea, September 29 - October 1, 2011.
  6. H. Ishibuchi, K. Takahashi, K. Hoshino, J. Maeda, and Y. Nojima, "Effects of configuration of agents with different strategy representations on the evolution of cooperative behavior in a spatial IPD game," Proc. of 2011 IEEE Conference on Computational Intelligence and Games- CIG 2011, pp. 313-320, Seoul, Korea, August 31 - September 3, 2011.
  7. H. Ishibuchi, N. Akedo, and Y. Nojima, "A many-objective test problem for visually examining diversity maintenance behavior in a decision space," Proc. of 2011 Genetic and Evolutionary Computation Conference - GECCO 2011, pp. 649-656, Dublin, Ireland, July 12-16, 2011.
  8. H. Ishibuchi and Y. Nojima, "Toward quantitative definition of explanation ability of fuzzy rule-based classifiers," Proc. of 2011 IEEE International Conference on Fuzzy Systems, pp. 549-556, Taipei, Taiwan, June 27-30, 2011. Best Paper Award
  9. Y. Nojima, S. Nishikawa, and H. Ishibuchi, "A meta-fuzzy classifier for specifying appropriate fuzzy partitions by genetic fuzzy rule selection with data complexity measures," Proc. of 2011 IEEE International Conference on Fuzzy Systems, pp. 264-271, Taipei, Taiwan, June 27-30, 2011.
  10. H. Ishibuchi, N. Akedo, H. Ohyanagi, and Y. Nojima, "Behavior of EMO algorithms on many-objective optimization problems with correlated objectives," Proc. of 2011 IEEE Congress on Evolutionary Computation, (CD-ROM, 8 pages), New Orleans, USA, June 5-8, 2011
  11. H. Ishibuchi, Y. Nakashima, and Y. Nojima, "Double cross-validation for performance evaluation of multi-objective genetic fuzzy systems," Proc. of 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, pp. 31-38, Paris, France, April 11-15, 2011.
  12. H. Ishibuchi, N. Akedo, H. Ohyanagi, Y. Hitotsuyanagi, and Y. Nojima, "Many-objective test problems with multiple Pareto optimal regions in a decision space," Proc. of 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, pp. 113-120, Paris, France, April 11-15, 2011.
  13. H. Ishibuchi, Y. Hitotsuyanagi, H. Ohyanagi, and Y. Nojima, "Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D", Proc. of 6th International Conference on Evolutionary Multi-Criterion Optimization, pp. 166-181, Ouro Preto, Brazil, April 5-8, 2011.

    14. 2010
  14. S. Nishikawa, Y. Nojima, and H. Ishibuchi, "Appropriate granularity specification for fuzzy classifier design by data complexity measures," Proc. of the World Congress on Nature and Biologically Inspired Computing, pp. 698-703, Kitakyushu, Japan, December 15-17, 2010.
  15. H. Ishibuchi, Y. Hitotsuyanagi, Y. Nakashima, and Y. Nojima, "Multiobjectivization from two objectives to four objectives in evolutionary multi-objective optimization algorithms," Proc. of the World Congress on Nature and Biologically Inspired Computing, pp. 509-514, Kitakyushu, Japan, December 15-17, 2010.
  16. H. Ishibuchi, Y. Sakane, and Y. Nojima, "Use of multiple grids with different scalarizing functions in MOEA/D," Proc. of Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, pp. 898-903, Okayama, Japan, December 8-12, 2010. Best Paper Award
  17. Y. Nojima, S. Mihara, and H. Ishibuchi, "Parallel distributed implementation of genetics-based machine learning for fuzzy classifier design," Lecture Notes in Computer Science 6457: Simulated Evolution and Learning (8th International Conference on Simulated Evolution and Learning), pp. 309-318, Springer, Berlin, December 2010.
  18. Y. Nojima, S. Mihara, and H. Ishibuchi, "Rotation effect of training data subsets in parallel distributed fuzzy genetics-based machine learning," Proc. of 14th Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 96-105, Miyajima, Japan, November 19-20, 2010.
  19. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Use of non-geometric binary crossover as mutation," Proc. of World Automation Congress - WAC 2010 (CD-ROM, 6 pages), Kobe, Japan, September 19-22, 2010. Best Paper Award
  20. H. Ishibuchi, Y. Hitotsuyanagi, N. Tsukamoto, and Y. Nojima, "Many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space," Proc. of 11th International Conference on Parallel Problem Solving from Nature, Part II, pp. 91-100, Krakow, Poland, September 11-15, 2010.
  21. H. Ishibuchi, Y. Hitotsuyanagi, Y. Wakamatsu, and Y. Nojima, "How to choose solutions for local search in multiobjective combinatorial memetic algorithms," Proc. of 11th International Conference on Parallel Problem Solving from Nature, Part I, pp. 516-525, Krakow, Poland, September 11-15, 2010.
  22. Y. Nojima, S. Mihara, and H. Ishibuchi, "Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets," Proc. of 2010 IEEE Congress on Evolutionary Computation, pp. 2113-2120, Barcelona, Spain, July 18-23, 2010.
  23. Y. Nojima, Y. Kaisho, and H. Ishibuchi, "Accuracy implementation of genetic fuzzy rule selection with candidate rule addition and membership tuning," Proc. of 2010 IEEE International Conference on Fuzzy Systems, pp. 527-534, Barcelona, Spain, July 18-23, 2010.
  24. H. Ishibuchi, Y. Nakashima, and Y. Nojima, "Effects of fine fuzzy partitions on the generalization ability of evolutionary multi-objective fuzzy rule-based classifiers," Proc. of 2010 IEEE International Conference on Fuzzy Systems, pp. 1238-1245, Barcelona, Spain, July 18-23, 2010.
  25. H. Ishibuchi, Y. Sakane, N. Tsukamoto and Y. Nojima, "Simultaneous use of different scalarizing functions in MOEA/D," Proc. of Genetic and Evolutionary Computation Conference - GECCO 2010, pp. 519-526, Portland, USA, July 7-11, 2010.
  26. H. Ishibuchi, N. Tsukamoto, Y. Sakane and Y. Nojima, "Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions," Proc. of Genetic and Evolutionary Computation Conference - GECCO 2010, pp. 527-534, Portland, USA, July 7-11, 2010.
  27. Y. Nojima, H. Ishibuchi, and S. Mihara, "Use of very small training data subsets in parallel distributed genetic fuzzy rule selection," Proc. of 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, pp. 27-32, Mieres, Spain, March 17-19, 2010.
  28. H. Ishibuchi, Y. Nakashima, and Y. Nojima, "Simple changes in problem formulations make a difference in multiobjective genetic fuzzy systems," Proc. of 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, pp. 3-8, Mieres, Spain, March 17-19, 2010.

    29. 2009
  29. Y. Nojima, Y. Nakashima, and H. Ishibuchi, "Effects of the user of multiple fuzzy partitions on the search ability of multiobjective fuzzy genetics-based machine learning," Proc. of International Conference on Soft Computing and Pattern Recognition, pp. 341-346, Malacca, Malaysia, December 4-7, 2009.
  30. Y. Tsujimoto, Y. Hitotsuyanagi, Y. Nojima, and H. Ishibuchi, "Effects of including single-objective optimal solutions in an initial population on evolutionary multiobjective optimization," Proc. of International Conference on Soft Computing and Pattern Recognition, pp. 352-357, Malacca, Malaysia, December 4-7, 2009.
  31. Y. Nojima and H Ishibuchi, "Effects of data reduction on the generalization ability of parallel distributed genetic fuzzy rule selection," Proc. of 9th International Conference on Intelligent Systems Design and Applications, pp. 96-101, Pisa, Italy, November 30-December 2, 2009.
  32. H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima, "Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations," Proc. of 2009 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1820-1825, San Antonio, USA, October 10-13, 2009.
  33. H. Ishibuchi, H. Ohyanagi, and Y. Nojima, "Evolution of cooperative behavior in a spatial Iterated Prisoner's Dilemma game with different representation schemes of game strategies," Proc. of 2009 IEEE International Conference on Fuzzy Systems, pp. 1568-1573, Jeju Island, Korea, August 20-24, 2009.
  34. H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima, "Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach," Proc. of 2009 IEEE International Conference on Fuzzy Systems, pp. 1609-1614, Jeju Island, Korea, August 20-24, 2009. Best Paper Award
  35. R. Alcala, Y. Nojima, F. Herrera, and H. Ishibuchi, "Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection," Proc. of 2009 IEEE International Conference on Fuzzy Systems, pp. 1718-1723, Jeju Island, Korea, August 20-24, 2009.
  36. H. Ishibuchi, Y. Nakashima, and Y. Nojima, "Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning," Proc. of 2009 IEEE International Conference on Fuzzy Systems, pp. 1724-1729, Jeju Island, Korea, August 20-24, 2009.
  37. H. Ishibuchi, Y. Kaisho, and Y. Nojima, "Complexity, interpretability and explanation capability of fuzzy rule-based classifiers," Proc. of 2009 IEEE International Conference on Fuzzy Systems, pp. 1730-1735, Jeju Island, Korea, August 20-24, 2009.
  38. Y. Nojima and H. Ishibuchi, "Interactive fuzzy modeling by evolutionary multiobjective optimization with user preference," Proc. of 2009 IFSA World Congress and 2009 EUSFLAT Conference, pp. 1839-1844, Lisbon, Portugal, July 20-24, 2009.
  39. H. Ishibuchi and Y. Nojima, "Discussions on interpretability of fuzzy systems using simple examples," Proc. of 2009 IFSA World Congress and 2009 EUSFLAT Conference, pp. 1649-1654, Lisbon, Portugal, July 20-24, 2009.
  40. H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima, "Single-objective and multi-objective formulations of solution selection for hypervolume maximization," Proc. of 2009 Genetic and Evolutionary Computation Conference, pp. 1831-1832, Montreal, Canada, July 8-12, 2009.
  41. H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima, "Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization," Proc. of 2009 IEEE Congress on Evolutionary Computation, pp. 2508-2515, Trondheim, Norway, May 18-21, 2009.
  42. H. Ishibuchi, N. Tsukamoto, Y. Sakane, and Y. Nojima, "Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization," Proc. of 2009 IEEE Congress on Evolutionary Computation, pp. 530-537, Trondheim, Norway, May 18-21, 2009.
  43. H. Ishibuchi, Y. Sakane, N. Tsukamoto, and Y. Nojima, "Adaptation of scalarizing functions in MOEA/D: An adaptive scalarizing function-based multiobjective evolutionary algorithm," Proc. of 5th International Conference on Evolutionary Multi-Criterion Optimization, pp. 438-452, Nantes, France, April 7-10, 2009.
  44. Y. Nojima and H. Ishibuchi, "Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference," Proc. of 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, pp. 141-148, Nashville, USA, March 30-April 2, 2009.
  45. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Empirical analysis of using weighted sum fitness functions in NSGA-II for many-objective 0/1 knapsack problems," Proc. of 11th International Conference on Computer Modelling and Simulation (UKSim 2009), pp. 71-76, Cambridge, UK, March 25-27, 2009.
  46. Y. Nojima, Y. Hamada, and H. Ishibuchi, "Application of interactive fuzzy data mining to the analysis of inter-vehicle communication in traffic simulations," Proc. of 5th International Conference on Sciences of Electronic, Technologies of Information and Telecommunications, (CD-ROM 11 pages) Hammamet, Tunisia, March 22-26, 2009.
  47. Y. Nojima and H. Ishibuchi, "Incorporation of user preference into multiobjective genetic fuzzy rule selection for pattern classification problems," Proc. of 14th International Symposium on Artificial Life and Robotics, pp. 186-189, Oita, Japan, February 5-7, 2009.
  48. I. Kuwajima, Y. Nojima, and H. Ishibuchi, "Pareto-optimal fuzzy rule mining with EMO algorithms and its improvement by heuristic initialization," Proc. of 14th International Symposium on Artificial Life and Robotics, pp. 377-380, Oita, Japan, February 5-7, 2009.
  49. N. Tsukamoto, Y. Sakane, Y. Nojima, and H. Ishibuchi, "Hybridization of evolutionary multiobjective optimization algorithms by the adaptive use of scalarizing fitness function," Proc. of 14th International Symposium on Artificial Life and Robotics, pp. 365-368, Oita, Japan, February 5-7, 2009.
  50. Y. Hamada, Y. Nojima, and H. Ishibuchi, "Use of multiobjective genetic rule selection for examining the effectiveness of inter-vehicle communication in traffic simulations," Proc. of 14th International Symposium on Artificial Life and Robotics, pp. 93-96, Oita, Japan, February 5-7, 2009.
  51. H. Ohyanagi, Y. Wakamatsu, Y. Nakashima, Y. Nojima, and H. Ishibuchi, "Evolution of cooperative behavior among heterogeneous agents with different strategy representations in an iterated prisoner's dilemma game," Proc. of 14th International Symposium on Artificial Life and Robotics, pp. 102-105, Oita, Japan, February 5-7, 2009.

    52. 2008
  52. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Use of local ranking in cellular genetic algorithms with two neighborhood structures," Proc. of 7th International Conference on Simulated Evolution and Learning (SEAL 2008), pp. 309-318, Melbourne, Australia, December 7-10, 2008.
  53. H. Ishibuchi and Y. Nojima, "Evolutionary multiobjective fuzzy system design," Proc. of 2nd Workshop on Computing and Communications from Biological Systems: Theory and Applications, CD ROM Proceedings (2 pages), Awaji Island, Japan, November 28, 2008.
  54. Y. Nojima and H. Ishibuchi, "Effects of diversity measures on the design of ensemble classifiers by multiobjective genetic fuzzy rule selection with a multi-classifier coding scheme," Proc. of Third International Workshop on Hybrid Artificial Intelligence Systems, pp. 755-762, Burgos, Spain, September 24-26, 2008.
  55. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Maintaining the diversity of solutions by non-geometric binary crossover in genetic algorithms," Proc. of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems, pp. 1512-1517, Nagoya, Japan, September 17-21, 2008.
  56. H. Ishibuchi, Y. Hitotsuyanagi, N. Tsukamoto, and Y. Nojima, "Use of heuristic local search for single-objective optimization in multiobjective memetic algorithms," Proc. of 10th International Conference on Parallel Problem Solving from Nature, pp. 743-752, Dortmund, Germany, September 13-17, 2008.
  57. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Examining the effect of elitism in cellular genetic algorithms using two neighborhood structures," Proc. of 10th International Conference on Parallel Problem Solving from Nature, pp. 458-467, Dortmund, Germany, September 13-17, 2008.
  58. H. Ishibuchi, Y. Hitotsuyanagi, N. Tsukamoto, and Y. Nojima, "Probabilistic use of heuristic moves in multiobjective genetic local search for flowshop scheduling," Conference Handbook of the UK Operational Research Society 50th Annual Conference, p.115, York, UK, September 9-11, 2008.
  59. Y. Hitotsuyanagi, Y. Nojima, and H. Ishibuchi, "Balance between local search and global search in multiobjective memetic algorithms for many-objective optimization problems," Workshop and Summer School on Evolutionary Computing Lecture Series by Pioneers, pp. 22-25, Derry, Northern Ireland, August 18-22, 2008.
  60. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Maintaining the diversity of solutions by non-geometric binary crossover: A worst one-max solver competition case study," Proc. of 2008 Genetic and Evolutionary Computation Conference, pp. 1111-1112, Atlanta, Georgia, USA, July 12-16, 2008.
  61. H. Ishibuchi, N. Tsukamoto, Y. Hitotsuyanagi, and Y. Nojima, "Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems," Proc. of 2008 Genetic and Evolutionary Computation Conference, pp. 649-656, Atlanta, Georgia, USA, July 12-16, 2008.
  62. Y. Nojima, and H. Ishibuchi, "Computational efficiency of parallel distributed genetic fuzzy rule selection for large data sets," Proc. of Information Processing and Management of Uncertainty in Knowledge-based Systems, pp. 1137-1142, Torremolinos, Spain, June 22-27, 2008.
  63. I. Kuwajima, H. Ishibuchi, and Y. Nojima, "Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules," Proc. of 2008 IEEE International Conference on Fuzzy Systems, pp. 1185-1192, Hong Kong, June 1-6, 2008.
  64. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Evolutionary many-objective optimization: A short review," Proc. of 2008 IEEE Congress on Evolutionary Computation, pp. 2424-2431, Hong Kong, June 1-6, 2008.
  65. H. Ishibuchi, Y. Hitotsuyanagi, and Y. Nojima, "Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies," Proc. of 2008 IEEE Congress on Evolutionary Computation, pp. 3587-3594, Hong Kong, June 1-6, 2008.
  66. H. Ishibuchi, Y. Kaisho, and Y. Nojima, "A visual explanation system for explaining fuzzy reasoning results by fuzzy rule-based classifiers," Proc. of 2008 North American Fuzzy Information Processing Society Conference, in CD-ROM (6 pages), New York, USA, May 19-22, 2008.
  67. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Behavior of evolutionary many-objective optimization," Proc. of 10th International Conference on Computer Modeling and Simulation, pp. 266-271, Cambridge, UK, April 1-3, 2008.
  68. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Evolutionary many-objective optimization," Proc. of 3rd International Workshop on Genetic and Evolving Fuzzy Systems, pp. 47-52, Witten-Bommerholz, Germany, March 4-7, 2008.
  69. H. Ishibuchi, Y. Kaisho, and Y. Nojima, "Designing fuzzy rule-based classifiers that can visually explain their classification results to human users," Proc. of 3rd International Workshop on Genetic and Evolving Fuzzy Systems, pp. 5-10, Witten-Bommerholz, Germany, March 4-7, 2008. Best Paper Finalist
  70. N. Tsukamoto, Y. Nojima, and H. Ishibuchi, "Effects of non-geometric binary crossover on multiobjective 0/1 knapsack problems," Proc. of 13th International Symposium on Artificial Life and Robotics, pp. 642-645, Oita, Japan, January 31-February 2, 2008.
  71. I. Kuwajima, Y. Nojima, and H. Ishibuchi, "Effects of constructing fuzzy discretization from crisp discretization for rule-based classifiers," Proc. of 13th International Symposium on Artificial Life and Robotics, pp. 203-206, Oita, Japan, January 31-February 2, 2008.
  72. I. Kuwajima, Y. Nojima, and H. Ishibuchi, "Obtaining accurate classifiers with Pareto-optimal and near Pareto-optimal rules," Proc. of 13th International Symposium on Artificial Life and Robotics, pp. 195-198, Oita, Japan, January 31-February 2, 2008.

    73. 2007
  73. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms," Proc. of 2007 IEEE International Conference on Systems, Man and Cybernetics, pp. 1946-1951, Montreal, Canada, October 7-10, 2007.
  74. K. Ohara, Y. Nojima, and H. Ishibuchi, "A study on traffic information sharing through inter-vehicle communication," Proc. of 2007 IEEE Multi-conference on Systems and Control, pp. 670-675, Singapore, October 1-3, 2007.
  75. H. Ishibuchi, N. Tsukamoto, and Y. Nojima, "Iterative approach to indicator-based multiobjective optimization," Proc. of 2007 IEEE Congress on Evolutionary Computation, pp. 3697-3704, Singapore, September 25-28, 2007.
  76. H. Ishibuchi, Y. Hitotsuyanagi, and Y. Nojima, "An empirical study on the specification of the local search application probability in multiobjective memetic algorithms," Proc. of 2007 IEEE Congress on Evolutionary Computation, pp. 2788-2795, Singapore, September 25-28, 2007.
  77. K. Ohara, Y. Nojima, Y. Kitano, and H. Ishibuchi, "Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making," Proc. of 2007 IEEE Congress on Evolutionary Computation, pp. 4051-4058, Singapore, September 25-28, 2007.
  78. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Prescreening of candidate rules using association rule mining and Pareto-optimality in genetic rule selection," Proc. of 11th International Conference on Knowledge Based Intelligent Information and Engineering Systems, pp. 509-516, Vietri sul Mare, Italy, September 12-14, 2007.
  79. H. Ishibuchi, K. Ohara, and Y. Nojima, "Implementation of elitism in cellular genetic algorithms," Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 169-174, Sokcho, Korea, September 5-8, 2007.
  80. Y. Hamada, Y. Nojima, K. Ohara, and H. Ishibuchi, "A simulation study of route selection with inter-vehicle communication," Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 175-180, Sokcho, Korea, September 5-8, 2007.
  81. Y. Hitotsuyanagi, Y. Nojima, and Hisao Ishibuchi, "Effects of problem-specific local search schemes in a memetic EMO algorithm," Proc. of 8th International Symposium on Advanced Intelligent Systems, pp. 402-407, Sokcho, Korea, September 5-8, 2007.
  82. Y. Nojima, I. Kuwajima, and H. Ishibuchi, "Data set subdivision for parallel distributed implementation of genetic fuzzy rule selection," Proc. of 2007 IEEE International Conference on Fuzzy Systems, pp. 2006-2011, London, UK, July 23-26, 2007.
  83. H. Ishibuchi, Y. Nojima, N. Tsukamoto, and K. Ohara, "Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization," Proc. of 2007 Genetic and Evolutionary Computation Conference, vol. 1, pp. 829-836, London, UK, July 7-11, 2007.
  84. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Relation between Pareto-optimal fuzzy rules and Pareto-optimal fuzzy rule sets," Proc. of 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, pp. 42-49, Honolulu, USA, April 1-5, 2007.
  85. H. Ishibuchi, and Y. Nojima, "Optimization of scalarizing functions through evolutionary multiobjective optimization," Lecture Notes in Computer Science 4403: Evolutionary Multi-Criterion Optimization - EMO 2007, pp. 51-65, Springer, Berlin, 2007. PDF

    86. 2006
  86. Y. Nojima and H. Ishibuchi, "Designing fuzzy ensemble classifiers by evolutionary multiobjective optimization with an entropy-based diversity criterion," Proc. of 6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, (Auckland, New Zealand), in CD-ROM (4pages), (December 13-15, 2006). Best Paper Award
  87. H. Ishibuchi, Y. Nojima, and I. Kuwajima, "Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection," Proc. of 10th International Conference on Knowledge Based Intelligent Information and Engineering Systems, (Bournemouth, UK), pp. 86-93, (October 9-11, 2006).
  88. H. Ishibuchi, Y. Nojima, and I. Kuwajima, "Accuracy-complexity tradeoff analysis in data mining by multiobjective genetic rule selection," Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems, (Tokyo, Japan) pp. 2069-2074, (September 20-24, 2006).
  89. H. Ishibuchi, Y. Nojima, and T. Doi, "Driving evolutionary multiobjective search by a scalarizing fitness function," Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems, (Tokyo, Japan), pp. 2198-2203, (September 20-24, 2006).
  90. H. Ishibuchi, I. Kuwajima, and Y. Nojima, "Multiobjective association rule mining," Proc. of PPSN Workshop on Multiobjective Problem Solving from Nature (September 9, 2006) 12 pages (Reykjavik, Iceland) http://dbkgroup.org/knowles/MPSN3/
  91. H. Ishibuchi, T. Doi, and Y. Nojima, "Effects of using two neighborhood structures in cellular genetic algorithms for function optimization," Proc. of 9th International Conference on Parallel Problem Solving from Nature (Reykjavik, Iceland) pp. 949-958 (September 9-13, 2006). PDF
  92. H. Ishibuchi, T. Doi, and Y. Nojima, "Incorporation of scalarizing fitness functions into evolutionary multiobjective optimization algorithms," Proc. of 9th International Conference on Parallel Problem Solving from Nature (Reykjavik, Iceland) pp. 493-502 (September 9-13, 2006). PDF
  93. H. Ishibuchi, Y. Nojima, and I. Kuwajima, "Genetic rule selection as a postprocessing procedure in fuzzy data mining," Proc. of 2006 International Symposium on Evolving Fuzzy Systems (Ambleside, Lake District, UK) pp. 286-291 (September 7-9, 2006). Best Runner-up paper award
  94. Y. Nojima, H. Ishibuchi, and I. Kuwajima, "Comparison of search ability between genetic fuzzy rule selection and fuzzy genetics-based machine learning," Proc. of 2006 International Symposium on Evolving Fuzzy Systems (Ambleside, Lake District, UK) pp. 125-130 (September 7-9, 2006).
  95. H. Ishibuchi, Y. Nojima, and I. Kuwajima, "Fuzzy data mining by heuristic rule extraction and multiobjective genetic rule selection," Proc. of 2006 IEEE International Conference on Fuzzy Systems (Vancouver, Canada) pp. 7824-7831 (July 16-21, 2006).
  96. H. Ishibuchi, Y. Nojima, and T. Doi, "Comparison between single-objective and multi-objective genetic algorithms: Performance comparison and performance measures," Proc. of 2006 Congress on Evolutionary Computation (Vancouver, Canada) pp. 3959-3966 (July 16-21, 2006).
  97. H. Ishibuchi, Y. Nojima, and I. Kuwajima, "Multiobjective genetic rule selection as a data mining postprocessing procedure," Proc. of 2006 Genetic and Evolutionary Computation Conference (Seattle, USA) volume 2, pp. 1591-1592 (July 8-12, 2006).
  98. H. Ishibuchi, Y. Nojima, K. Narukawa, and T. Doi, "Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms," Proc. of 2006 Genetic and Evolutionary Computation Conference (Seattle, USA) volume 1, pp. 741-742 (July 8-12, 2006).
  99. K. Ohara, Y. Nojima, and H. Ishibuchi, "Comparison between centralized global optimization and distributed local optimization for traffic jam avoidance," Proc. of 2006 Genetic and Evolutionary Computation Conference Late Breaking Papers (Seattle, USA) 6p CD ROM (July 8-12, 2006).
  100. H. Ishibuchi and Y. Nojima, "Tradeoff between accuracy and rule length in fuzzy rule-based classification systems for high-dimensional problems," Proc. of 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Paris, France) pp. 1936-1943 (July 2-7, 2006).
  101. H. Ishibuchi, Y. Nojima, and T. Doi, "Application of multiobjective evolutionary algorithms to single-objective optimization problems," Abstract Booklet of 7th International Conference on Multi-Objective Programming and Goal Programming (Tours, France) 4 pages (June 12-14, 2006).
  102. Y. Nojima and H. Ishibuchi, "Interpretability-accuracy tradeoff by multiobjective genetics-based machine learning for pattern classification problems," Proc. of The Eleventh International Symposium on Artificial Life and Robotics 2006 (AROB 11th'06), pp. 452-455, B-Con Plaza, Beppu, Oita, Japan, January 23-25, 2006.

    103. 2005
  103. H. Ishibuchi and Y. Nojima, "Performance evaluation of evolutionary multiobjective approaches to the design of fuzzy rule-based ensemble classifiers," Proc. of 5th International Conference on Hybrid Intelligent Systems (Rio de Janeiro, Brazil) pp. 271-276 (November 6-9, 2005).
  104. K. Narukawa, Y. Nojima, and H. Ishibuchi, "Effects of similarity-based mating scheme on evolutionary function optimization," Proc. of 6th International Symposium on Advanced Intelligent Systems, pp. 735-740, (2005). Outstanding Paper Award
  105. H. Ishibuchi and Y. Nojima, "Multiobjective formulations of fuzzy rule-based classification system design," Proc. of Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Rencontres Francophones sur la Logique Floue et ses Applications (EUSFLAT-LFA 2005), pp.285-290, Barcelona, Spain, September 7-9, (2005)
  106. H. Ishibuchi, K. Narukawa, and Y. Nojima, "An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization," Proc. of 2005 Genetic and Evolutionary Computation Conference, vol.1, pp. 817-824, Washington DC, USA, June 25-29, (2005)
  107. H. Ishibuchi and Y. Nojima, "Comparison between fuzzy and interval partitions in evolutionary multiobjective design of rule-based classification systems," Proc. of The IEEE international conference on fuzzy systems (FuzzIEEE2005), pp.430-435, Reno, USA, May 22-25, (2005)
  108. K. Narukawa, Y. Nojima, and H. Ishibuchi, "Modification of evolutionary multiobejective optimization algorithms for multiobjective design of fuzzy rule-based classification systems," Proc. of The IEEE international conference on fuzzy systems (FuzzIEEE2005), pp.809-814, Reno, USA, May 22-25, (2005)
  109. H. Ishibuchi and Y. Nojima, "Multiobjective fuzzy genetics-based machine learning," Proc. of the 1st Workshop on Genetic Fuzzy Systems (GFS05), pp.10-15, Granada, Spain, March 17-19, (2005)
  110. Y. Nojima, K. Narukawa, S. Kaige, and H. Ishibuchi, "Effects of removing overlapping solutions on the performance of the NSGA-II algorithm," Proc. of the third International Conference on Evolutionary Multi-Criterion Optimization (EMO2005), (C.A. Coello Coello, A. H. Aguirre, E. Zitzler Eds, LNCS 3410), pp.341-354 Guanajuato, Mexico, March 9-11, (2005)
  111. S. Namba, Y. Nojima, and H. Ishibuchi, "Performance comparison between fuzzy rules and interval rules in rule-based classification systems," Proc. of the 10th International Symposium on Artificial Life and Robotics (AROB05), CDROM (4pages), Oita, Japan, February 4-6, (2005)
  112. Y. Nojima, N. Kubota, and F. Kojima, "Gesture clustering and imitative behavior generation for partner robots," Proc. of the 10th International Symposium on Artificial Life and Robotics (AROB05), CDROM (4pages), Oita, Japan, February 4-6, (2005)

    113. 2004
  113. N. Kubota, Y. Nojima, and F. Kojima, "Imitative behavior generation for a vision-based partner robot," Proc. of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2004), pp.3080-3085, Sendai, Japan, September 28 - October 2, (2004)
  114. Y. Nojima, N. Kubota, and F. Kojima, "Trajectory generation and accumulation for partner robots based on structured learning," Proc. of 2004 Congress on Evolutionary Computation (CEC2004), pp.2224-2229, Portland, Oregon, June 19-23, (2004)

    115. 2003
  115. N. Kubota, Y. Nojima, I. Sulistijono, and F. Kojima, "Interactive trajectory generation using evolutionary programming for a partner robot," Proc. of the 12th IEEE Workshop Robot and Human Interactive Communication RO-MAN 2003, pp.335-340, San Francisco, USA, October 31-November 2 (2003)
  116. Y. Nojima, F. Kojima, and N. Kubota, "Trajectory generation for human-friendly behavior of partner robot using fuzzy evaluating interactive genetic algorithm," Proc. of The IEEE international Symposium on Computational Intelligence in Robotics and Automation (CIRA2003), pp.306-311 in CD-ROM, Kobe, Japan, July (2003)
  117. Y. Nojima, F. Kojima, and N. Kubota, "Local episode-based learning of multi-objective behavior coordination for a mobile robot in dynamic environments," Proc. of The IEEE international conference on fuzzy systems (FuzzIEEE2003), pp.307-312 in CD-ROM, St.Louis, USA, May (2003)

    118. 2002
  118. Y. Nojima, F. Kojima, and N. Kubota, "Local episode-based learning of a mobile robot in a dynamic environment," Proc. of The Third International Symposium on Human and Artificial Intelligence Systems, pp.384-388, Fukui, Japan, December 6-7 (2002)

    119. 2001
  119. Y. Nojima, F. Kojima, and N. Kubota, "Perception and behavior of pet robots based on emotional model," Proc. of Knowledge Based Intelligent Information Engineering System & Allied Technologies (KES2001), pp.859-863, Osaka, Japan, September 6-8 (2001)
  120. N. Kubota, Y. Nojima, F. Kojima, and T. Fukuda, "Dual learning for perception and behavior of mobile robots," Proc. of Joint 9th IFSA World Congress and 20th NAFIPS International Conference (IFSA/NAFIPS2001), pp.1401-1406, Vancouver, Canada, July 25-28 (2001)

    121. 2000
  121. N. Kubota, Y. Nojima, F. Kojima, and T. Fukuda, "Multi-objective behavior coordinate for a mobile robot with fuzzy neural networks," Proc. of The IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN2000), CD-ROM Proc., Como, Italy, July 24-27 (2000)
  122. N. Kubota, Y. Nojima, N. Baba, F. Kojima, and T. Fukuda, "Evolving pet robot with emotional model," Proc. of Congress on Evolutionary Computation 2000 (CEC2000), CD-ROM Proc. pp.1231-1237, San Diego, USA, July 16-19 (2000)
  123. Y. Nojima, N. Kubota, F. Kojima, and T. Fukuda, "Control of behavior dimension for mobile robots," Proc. of The Forth Asian Fuzzy Systems Symposium (AFFS2000), pp.652-657, Tsukuba, Japan, May 31-June 3 (2000)

    124. 1999
  124. N. Kubota, Y. Nojima, F. Kojima, T. Fukuda, and S. Shibata, "Intelligent control of self-organiziing manufacturing system with local learning mechanism," Proc. of The 25th Annual Conference of the IEEE Industrial Electronics Society (IECON'99), CD-ROM Proc. (6 page), San Jose, USA, November 29-December 3 (1999)

Editorial Works:

R. Alcala, Y. Nojima, H. Ishibuchi, and F. Herrera, "Special issue on evolutionary fuzzy systems," International Journal of Computational Intelligence Systems, vol. 5, no. 2, pp. 209-211, April 2012.

Y. Nojima and M. Koeppen, "Special issue on selected papers from NaBIC 2010," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 15, no. 9, p. 1299, November 2011.

Y. Nojima, R. Alcala, H. Ishibuchi, and F. Herrera, "Special issue on evolutionary fuzzy systems," Soft Computing, vol. 15, no. 12, pp. 2299-2301, November 2011.

R. Alcala and Y. Nojima, "Special issue on genetic fuzzy systems: new advances," Evolutionary Intelligence, Vol. 2, No. 1-2, pp. 1-3, November 2009

Academic Activities:

Program Co-chair

Fifth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011) at the SSCI 2011 (Paris, France, April 11-15, 2011)

Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010) (Mieres, Asturias, Spain, 17-19 March, 2010)

Special Session Organizer

Special Session: Evolutionary Robotics (organized in ICIRA 2011 Aachen, Germany, December 6-9, 2011)

Special Session: Evolutionary Fuzzy Systems (organized in FUZZ-IEEE 2011 Taipei, Taiwan, June 27-30, 2011, with Rafael Alcala, Hisao Ishibuchi, and Francisco Herrera)

Special Session: Evolutionary Computation (organized in WAC 2010 Kobe, Japan, September 19-23, 2010, with Hisao Ishibuchi)

Special Session: Evolutionary Fuzzy Systems (organized in FUZZ-IEEE 2010 (WCCI 2010) Barcelona, Spain, July 18-23, 2010, with Rafael Alcala, Hisao Ishibuchi, and Francisco Herrera)

Workshop on Genetic Fuzzy Systems - Design and Applications (organized in ISDA 2009 Pisa, Italy, Nov. 30 - Dec. 2, 2009, with Rafael Alcala, Pietro Ducange)

Special Session: Evolutionary Fuzzy Systems (organized in FUZZ-IEEE 2009 Jeju Island, Korea, August 20-24, 2009, with Rafael Alcala, Hisao Ishibuchi, Francisco Herrera)

Special Session: New Advances on Genetic Fuzzy Systems (organized in IFSA-EUSFLAT 2009 Lisbon, Portugal, July 20-24, 2009, with Rafael Alcala)

Speciall Session on Genetic Fuzzy Systems: Novel Approaches (organized in 3rd International Workshop on Hybrid Artificial Intelligence Systems, Burgos, Spain, Sept. 24-26, 2008, with Rafael Alcala)

Editorial board member

The Open Cybernetics and Systemics Journal (2007-)

Publicity Co-chair

9th Internaitonal Conference on Intelligent Systems Design and Applications (Pisa, Italy, Nov. 30 - Dec. 2, 2009)

Program Committee Member

I'm a member of IPC for more conferences.

2009 IEEE Congress on Evolutionary Computation (CEC 2009) (Trondheim, Norway, May 18-21, 2009)

2009 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MCDM 2009) (Nashville, USA, March 30 - April 2, 2009)

9th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2008) (Daejeon, Korea, Nov. 2-5, 2008)

3rd International Workshop on Hybrid Artificial Intelligence Systems (IHAIS'08) (Burgos, Spain, Sep. 24-26, 2008)

8th International Conference on Intelligent Systems and Applications (ISDA2008) (Kaohsiung City, Taiwan, Nov. 26-28, 2008)

2008 IEEE International Symposium on Intelligent Control (ISIC2008) (San Antonio, Texas (USA), Sep. 3-5, 2008)

7th International Conference on Intelligent Systems Design and Applications (ISDA'07) (Rio de Janeiro, Brazil, Oct. 22-24, 2007)

3rd International Conference on Natural Computation (ICNC'07) and 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07) (Haikou, China, Aug. 24-27, 2007)

2nd International Conference on Natural Computation (ICNC'06) and 3rd International Conference on Fuzzy Systems and nowledge Discovery (FSKD'06) (Changsha, China, Sep. 24-27, 2006)

2006 IEEE International Conference on Fuzzy Systems (Vancouver, Canada, July 16-21, 2006)

2005 International Conference on Natural Computation (ICNC'05) (Hunan, China, Sept. 24-26)

Technical Committee Member

2008 IEEE International Conference on Systems, Man, and Cybernetics (SMC'08) (Singapore, Oct. 12-15)

2008 IEEE World Congress on Computational Intelligence (WCCI'08) (Hong Kong, June 1-6, 2008)

Organized Sessions Committee Member

Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (Tokyo, Japan, September 20-24, 2006)

Research Stay

July 2011 (One month): University of Granada (invited by Prof. F. Herrera, Dr. R. Alcala)

July 2008 - Sept 2008: University of Granada (invited by Prof. F. Herrera, Dr. R. Alcala)

Aug 2000 - Oct 2000: University of South Australia (invited by Prof. L.C. Jain, Dr. D. Corbett)