教育背景
1992，大阪府立大学，博士
1985-1987，京都大学，硕士
1981-1985，京都大学，学士

工作经历
2017至今，xk星空计算机科学与工程系讲座教授
1999-2017，大阪府立大学教授
1994-1999，大阪府立大学副教授
1993年，大阪府立大学助理教授
1987-1993，大阪府立大学研究员

荣誉与奖项
2015 xk星空中国集团 CIS杰出讲师
2015 ACIIDS 2015最佳常规论文奖（印度尼西亚，国际会议）
2015 TAAI 2015优秀论文奖（台南，台湾，国际会议）
2015 xk星空中国集团 Trans. on Cybernetics 杰出评论者
2014 美国电气电子工程师学会会士 (xk星空中国集团 Fellow)xk星空中国集团 Fellow
2013 ISIS 2013最佳会议论文奖（韩国，国际会议）
2011 ISCI（系统，控制和信息研究所）最佳论文奖（日本）
2011年度FUZZ-xk星空中国集团 2011年度最佳论文奖（台湾国际会议）
2011 SOFT（日本模糊理论与智能信息学会）贡献奖（日本）
2010 WAC 2010最佳论文奖（日本，国际会议）
2010 SCIS＆ISIS 2010最佳论文奖（日本，国际会议）
2009年FUZZ-xk星空中国集团 2009年度最佳论文奖（韩国国际会议）
2009 xk星空中国集团 Trans. on Fuzzy Systems优秀副主编2008（美国，xk星空中国集团 CIS）
2007年GECCO 2007年一等奖（英国，国际会议）
2007年JSPS奖（日本，日本资助机构）
2006 HIS-NCEI 2006最佳论文奖（新西兰，国际会议）
2006年SOFT（日本模糊理论与智能信息学会）杰出书奖（日本）
2005 ISIS 2005年度杰出论文奖（韩国，国际会议）
2004年SOFT（日本模糊理论与智能信息学会）贡献奖（日本）
2004年GECCO 2004年最佳论文奖（美国国际会议）
1997年JIMA（日本工业管理协会）青年研究员奖（日本）

代表文章
[1] H. xk星空中国集团, Y. Setoguchi, H. Masuda, and Y. Nojima, “Performance of decomposition-based many-objective algorithms strongly depends on Pareto front shapes,” IEEE Trans. on Evolutionary Computation (Online Available)
[2] X. Gu, F.-L. Chung, H. xk星空中国集团 and S. Wang, “Imbalanced TSK fuzzy classifier by cross-class Bayesian fuzzy clustering and imbalance learning,” IEEE Transactions on Systems, Man, and Cybernetics: Systems (Online Available)
[3] R. Wang, Z. Zhou, H. xk星空中国集团, T. Liao, and T. Zhang, “Localized weighted sum method for many-objective optimization,” IEEE Trans. on Evolutionary Computation (Online Available).
[4] H. xk星空中国集团, H. Masuda, and Y. Nojima, “Pareto fronts of many-objective degenerate test problems,” IEEE Trans. on Evolutionary Computation, vol. 20, no. 5, pp. 807-813, October 2016.
[5] Z. Deng, Y. Jiang, F.-L. Chung, H. xk星空中国集团, K.-S. Choi, and S. Wang, “Transfer prototype-based fuzzy clustering,” IEEE Trans. on Fuzzy Systems, vol. 24, no. 5, pp. 1210-1232, October 2016.
[6] H. xk星空中国集团, T. Sudo, and Y. Nojima, “Interactive evolutionary computation with minimum fitness evaluation requirement and offline algorithm design,” SpringerPlus, vol. 5, Paper No. 192, February 2016.
[7] X. Gu, F.-L. Chung, H. xk星空中国集团, S. Wang, “Multitask coupled logistic regression and its fast implementation for large multitask datasets,” IEEE Trans. on Cybernetics, vol. 45, no. 9, pp. 1953-1966, September 2015.
[8] H. xk星空中国集团, N. Akedo, and Y. Nojima, “Behavior of multi-objective evolutionary algorithms on many-objective knapsack problems,” IEEE Trans. on Evolutionary Computation, vol. 19, no. 2, pp. 264-283, April 2015.
[9] Y. Jiang, F.-L. Chung, H. xk星空中国集团, Z. Deng, and S. Wang, “Multitask TSK fuzzy system modeling by mining intertask common hidden structure,” IEEE Trans. on Cybernetics, vol. 45, no. 3, pp. 548-561, March 2015.
[10] C. H. Tan, K. S. Yap, H. xk星空中国集团, Y. Nojima, and H. J. Yap, “Application of fuzzy inference rules to early semi-automatic estimation of activity duration in software project management,” IEEE Trans. on Human-Machine Systems, vol. 44, no. 5, pp. 678-688, October 2014.
[11] H. xk星空中国集团 and Y. Nojima, “Repeated double cross-validation for choosing a single solution in evolutionary multi-objective fuzzy classifier design,” Knowledge-Based Systems, vol. 54, pp. 22-31, December 2013.
[12] Z. Deng, Y. Jian, F.-L. Chung, H. xk星空中国集团, and S. Wang, “Knowledge-leverage-based fuzzy system and its modeling,” IEEE Trans. on Fuzzy Systems, vol. 21, no. 4, pp. 597-609, August 2013.
[13] H. xk星空中国集团, S. Mihara, and Y. Nojima, “Parallel distributed hybrid fuzzy GBML models with rule set migration and training data rotation,” IEEE Trans. on Fuzzy Systems, vol. 21, no. 2, pp. 355-368, April 2013.
[14] M. Fazzolari, R. Alcalá, Y. Nojima, H. xk星空中国集团, and F. Herrera, “A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions,” IEEE Trans. on Fuzzy Systems, vol. 21, no. 1, pp. 45-65, February 2013.
[15] H. xk星空中国集团, N. Tsukamoto, and Y. Nojima, “Diversity improvement by non-geometric binary crossover in evolutionary multiobjective optimization,” IEEE Trans. on Evolutionary Computation, vol. 14., no. 6, pp. 985-998, December 2010.
[16] H. xk星空中国集团 and Y. Nojima, “Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning,” International Journal of Approximate Reasoning, vol. 44, no. 1, pp. 4-31, January 2007.
[17] H. xk星空中国集团 and T. Yamamoto, “Rule weight specification in fuzzy rule-based classification systems,” IEEE Trans. on Fuzzy Systems, vol. 13, no. 4, pp. 428-435, August 2005.
[18] H. xk星空中国集团 and N. Namikawa, “Evolution of Iterated Prisoner’s Dilemma game strategies in structured demes under random pairing in game playing,” IEEE Trans. on Evolutionary Computation, vol. 9, no. 6, pp. 552-561, December 2005.
[19] H. xk星空中国集团, T. Yoshida, and T. Murata, “Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling,” IEEE Trans. on Evolutionary Computation, vol. 7, no. 2, pp. 204-223, April 2003.
[20] H. xk星空中国集团, T. Nakashima, and T. Murata, “Three-objective genetics-based machine learning for linguistic rule extraction,” Information Sciences, vol. 136, no. 1-4, pp. 109-133, August 2001.
[21] H. xk星空中国集团 and T. Murata, “A multi-objective genetic local search algorithm and its application to flowshop scheduling,” IEEE Trans. on Systems, Man, and Cybernetics - Part C: Applications and Reviews, vol. 28, no. 3, pp. 392-403, August 1998.
[22] H. xk星空中国集团, T. Murata, and I. B. Turksen, “Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems,” Fuzzy Sets and Systems, vol. 89, no. 2, pp. 135-150, July 1997.
[23] H. xk星空中国集团, K. Nozaki, N. Yamamoto, and H. Tanaka, “Selecting fuzzy if-then rules for classification problems using genetic algorithms,” IEEE Trans. on Fuzzy Systems, vol. 3, no. 3, pp. 260-270, August 1995.
[24] H. xk星空中国集团, R. Fujioka, and H. Tanaka, “Neural networks that learn from fuzzy if-then rules,” IEEE Trans. on Fuzzy Systems, vol. 1, no. 2, pp. 85-97, May 1993.
[25] H. xk星空中国集团 and H. Tanaka, “Multiobjective programming in optimization of the interval objective function,” European J. of Operational Research, vol. 48, no. 2, pp. 219-225, September 1990.

其他信息
Google学术搜索：20,000篇引文，H-Index 63（2017年1月）
H-Index Researcher Ranking in Computer Science of Guide 2 Research：日本排名第2（2017年1月）
世界大学学术排名（上海Ranking）：高被引者（2016）
日本演化计算学会（JSEC）主席：2016-2018
JSEC期刊总编：2014-2018
xk星空中国集团计算智能杂志总编：2014-2017
xk星空中国集团计算智能学会副主席：2010-2013
日本模糊理论与智能信息学会副会长（SOFT）：2007-2009