Yusuke Nojima

2008
25	EE	Yusuke Nojima, Hisao Ishibuchi: Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme. HAIS 2008: 755-763
24	EE	Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima: Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures. PPSN 2008: 458-467
23	EE	Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima: Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms. PPSN 2008: 743-752
22	EE	Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers. Computational Intelligence: A Compendium 2008: 641-685
21	EE	Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima: Evolutionary Multi-objective Rule Selection for Classification Rule Mining. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 47-70
2007
20	EE	Yusuke Nojima, Isao Kuwajima, Hisao Ishibuchi: Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection. FUZZ-IEEE 2007: 1-6
19	EE	Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara: Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. GECCO 2007: 829-836
18	EE	Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima: Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection. KES (2) 2007: 509-516
17	EE	Hisao Ishibuchi, Yusuke Nojima: Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. Int. J. Approx. Reasoning 44(1): 4-31 (2007)
16	EE	Yusuke Nojima, Hisao Ishibuchi: Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design. Int. J. Hybrid Intell. Syst. 4(3): 157-169 (2007)
2006
15	EE	Hisao Ishibuchi, Yusuke Nojima: Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. EMO 2006: 51-65
14	EE	Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Multiobjective genetic rule selection as a data mining postprocessing procedure. GECCO 2006: 1591-1592
13	EE	Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi: Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. GECCO 2006: 741-742
12	EE	Yusuke Nojima, Hisao Ishibuchi: Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. HIS 2006: 59
11	EE	Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima: Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection. KES (2) 2006: 86-93
10	EE	Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. PPSN 2006: 493-502
9	EE	Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima: Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. PPSN 2006: 949-958
8	EE	Hisao Ishibuchi, Yusuke Nojima: Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection. Multi-Objective Machine Learning 2006: 507-530
7	EE	Hisao Ishibuchi, Yusuke Nojima: Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers. Int. J. Hybrid Intell. Syst. 3(3): 129-145 (2006)
6	EE	Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda: Multiple fuzzy state-value functions for human evaluation through interactive trajectory planning of a partner robot. Soft Comput. 10(10): 891-901 (2006)
2005
5	EE	Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi: Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm. EMO 2005: 341-354
4	EE	Hisao Ishibuchi, Yusuke Nojima: Multiobjective Formulations of Fuzzy Rule-Based Classification System Design. EUSFLAT Conf. 2005: 285-290
3	EE	Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima: An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. GECCO 2005: 817-824
2	EE	Hisao Ishibuchi, Yusuke Nojima: Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. HIS 2005: 271-276
2000
1	EE	Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda: Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks. IJCNN (6) 2000: 311-316

Coauthor Index

1	Tsutomu Doi	[9] [10] [13]
2	Toshio Fukuda	[1] [6]
3	Yasuhiro Hitotsuyanagi	[23]
4	Hisao Ishibuchi	[2] [3] [4] [5] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25]
5	Shiori Kaige	[5]
6	Fumio Kojima	[1] [6]
7	Naoyuki Kubota	[1] [6]
8	Isao Kuwajima	[11] [14] [18] [20] [21] [22]
9	Kaname Narukawa	[3] [5] [13]
10	Ken Ohara	[19]
11	Noritaka Tsukamoto	[19] [23] [24]

Colors in the list of coauthors