Shigenobu Kobayashi

2008
52	EE	Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi: Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. GECCO 2008: 479-486
51	EE	Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright: Privacy-preserving reinforcement learning. ICML 2008: 864-871
50	EE	Kazuteru Miyazaki, Shigenobu Kobayashi: Proposal of Exploitation-Oriented Learning PS-r#. IDEAL 2008: 1-8
49	EE	Jun Sakuma, Shigenobu Kobayashi: Large-Scale k-Means Clustering with User-Centric Privacy Preservation. PAKDD 2008: 320-332
48	EE	Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono: Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN 2008: 691-701
2007
47	EE	Jun Sakuma, Shigenobu Kobayashi: A genetic algorithm for privacy preserving combinatorial optimization. GECCO 2007: 1372-1379
46	EE	Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono: Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA. GECCO 2007: 813-820
45	EE	Kazuteru Miyazaki, Shigenobu Kobayashi: Reinforcement Learning for Penalty Avoidance in Continuous State Spaces. JACIII 11(6): 668-676 (2007)
2006
44	EE	Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi: Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. EMO 2006: 156-170
43	EE	Ken Harada, Jun Sakuma, Shigenobu Kobayashi: Local search for multiobjective function optimization: pareto descent method. GECCO 2006: 659-666
42	EE	Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi: Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. GECCO 2006: 667-674
2005
41	EE	Shin Ando, Einoshin Suzuki, Shigenobu Kobayashi: Sample based crowding method for multimodal optimization in continuous domain. Congress on Evolutionary Computation 2005: 1867-1874
40	EE	Jun Sakuma, Shigenobu Kobayashi: Latent variable crossover for k-tablet structures and its application to lens design problems. GECCO 2005: 1347-1354
39	EE	Shin Ando, Jun Sakuma, Shigenobu Kobayashi: Adaptive isolation model using data clustering for multimodal function optimization. GECCO 2005: 1417-1424
38	EE	Shin Ando, Shigenobu Kobayashi: Fitness-based neighbor selection for multimodal function optimization. GECCO 2005: 1573-1574
37	EE	Jun Sakuma, Shigenobu Kobayashi: Real-coded crossover as a role of kernel density estimation. GECCO 2005: 703-710
36	EE	Chikao Tsuchiya, Jun Sakuma, Isao Ono, Shigenobu Kobayashi: An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover. WSTST 2005: 400-411
35	EE	Akimoto Kamiya, Seppo J. Ovaska, Rajkumar Roy, Shigenobu Kobayashi: Fusion of soft computing and hard computing for large-scale plants: a general model. Appl. Soft Comput. 5(3): 265-279 (2005)
2004
34	EE	Nobue Adachi, Makihiko Sato, Shigenobu Kobayashi: Application of genetic algorithm to flight schedule planning. Systems and Computers in Japan 35(12): 83-92 (2004)
2003
33	EE	Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi: Independent constraint satisfaction and its application to sewerage system control. IEEE Congress on Evolutionary Computation (1) 2003: 566-573
32	EE	Minoru Kikuchi, Hajime Kimura, Shigenobu Kobayashi: Moving target detection from infrared images using genetic algorithms. Systems and Computers in Japan 34(7): 76-86 (2003)
2002
31		Jun Sakuma, Shigenobu Kobayashi: k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. GECCO Late Breaking Papers 2002: 404-411
30	EE	Kokolo Ikeda, Shigenobu Kobayashi: Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. PPSN 2002: 162-171
29		Akimoto Kamiya, K. Kawai, Isao Ono, Shigenobu Kobayashi: Theoretical proof of edge search strategy applied to power plant start-up scheduling. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(3): 316-331 (2002)
2001
28		Makoto Sato, Shigenobu Kobayashi: Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. ICML 2001: 473-480
27		Kazuteru Miyazaki, Shigenobu Kobayashi: Rationality of Reward Sharing in Multi-agent Reinforcement Learning. New Generation Comput. 19(2): 157-172 (2001)
2000
26		Osamu Takahashi, Hajime Kita, Shigenobu Kobayashi: A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization. GECCO 2000: 219-226
25		Jun Sakuma, Shigenobu Kobayashi: Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX. GECCO 2000: 973-980
24		Susumu Katayama, Hajime Kimura, Shigenobu Kobayashi: A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. ICML 2000: 447-454
23	EE	Makoto Sato, Shigenobu Kobayashi: Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation. IDEAL 2000: 244-249
22		Kokolo Ikeda, Shigenobu Kobayashi: GA Based on the UV-Structure Hypothesis and Its Application to JSP. PPSN 2000: 273-282
1999
21		Hajime Kimura, Shigenobu Kobayashi: Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers. ICML 1999: 210-219
20	EE	Sachiyo Arai, Kazuteru Miyazaki, Shigenobu Kobayashi: Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution. ISADS 1999: 310-
19	EE	Kazuteru Miyazaki, Shigenobu Kobayashi: Rationality of Reward Sharing in Multi-agent Reinforcement Learning. PRIMA 1999: 111-125
18		Akimoto Kamiya, K. Kawai, Isao Ono, Shigenobu Kobayashi: Adaptive-edge search for power plant start-up scheduling. IEEE Transactions on Systems, Man, and Cybernetics, Part C 29(4): 518-530 (1999)
1998
17		Hajime Kimura, Shigenobu Kobayashi: An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. ICML 1998: 278-286
16	EE	Akimoto Kamiya, Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi: Power plant start-up scheduling: a reinforcement learning approach combined with evolutionary computation. Journal of Intelligent and Fuzzy Systems 6(1): 99-115 (1998)
1997
15	EE	Keiko Takahashi, Isao Ono, Hiroshi Satoh, Shigenobu Kobayashi: An Efficient Genetic Algorithm for Reachability Problems. HICSS (5) 1997: 89-98
14		Isao Ono, Shigenobu Kobayashi: A Real Coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distributed Crossover. ICGA 1997: 246-253
13		Yuichi Nagata, Shigenobu Kobayashi: Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem. ICGA 1997: 450-457
12		Hajime Kimura, Kazuteru Miyazaki, Shigenobu Kobayashi: Reinforcement Learning in POMDPs with Function Approximation. ICML 1997: 152-160
11	EE	Kazuteru Miyazaki, Masayuki Yamamura, Shigenobu Kobayashi: k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning. Artif. Intell. 91(1): 155-171 (1997)
1996
10		Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi: Multi-Objective Optimization by Genetic Algorithms: A Review. International Conference on Evolutionary Computation 1996: 517-522
9		Masayuki Yamamura, Isao Ono, Shigenobu Kobayashi: Emergent Search on Double Circle TSPs Using Subgour Exchange Crossover. International Conference on Evolutionary Computation 1996: 535-540
8		Isao Ono, Masayuki Yamamura, Shigenobu Kobayashi: A Genetic Algorithm for Job-Shop Scheduling Problems Using Job-Based Order Crossover. International Conference on Evolutionary Computation 1996: 547-552
1995
7		Shigenobu Kobayashi, Isao Ono, Masayuki Yamamura: An Efficient Genetic Algorithm for Job Shop Scheduling Problems. ICGA 1995: 506-511
6		Hajime Kimura, Masayuki Yamamura, Shigenobu Kobayashi: Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. ICML 1995: 295-303
1994
5		Masayuki Yamamura, Hiroshi Satoh, Shigenobu Kobayashi: An Analysis of Crossover's Effect in Genetic Algorithms. International Conference on Evolutionary Computation 1994: 613-618
1993
4		Klaus P. Jantke, Shigenobu Kobayashi, Etsuji Tomita, Takashi Yokomori: Algorithmic Learning Theory, 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993, Proceedings Springer 1993
1991
3		Toshihiko Yokogawa, Takefumi Sakurai, Akira Nukuzuma, Tomohiro Takagi, Shigenobu Kobayashi: Case-Based Reasoning for Action Planning by Representing Situations at the Abstract Layers. Fuzzy Logic and Fuzzy Control 1991: 109-122
2		Masayuki Yamamura, Shigenobu Kobayashi: An Augmented EBL and its Application to the Utility Problem. IJCAI 1991: 623-629
1	EE	Shigenobu Kobayashi, Kotaro Nakamura: Knowledge Compilation and Refinement for Fault Diagnosis. IEEE Expert 6(5): 39-46 (1991)

Coauthor Index

1	Nobue Adachi	[34]
2	Youhei Akimoto	[52]
3	Shin Ando	[38] [39] [41]
4	Kei Aoki	[33]
5	Sachiyo Arai	[20]
6	Naoki Hamada	[48]
7	Ken Harada	[42] [43] [44] [46]
8	Kokolo Ikeda	[22] [30] [33] [42]
9	Klaus P. Jantke	[4]
10	Akimoto Kamiya	[16] [18] [29] [35]
11	Susumu Katayama	[24]
12	K. Kawai	[18] [29]
13	Minoru Kikuchi	[32]
14	Hajime Kimura	[6] [12] [16] [17] [21] [24] [32]
15	Hajime Kita	[10] [26]
16	Kazuteru Miyazaki	[11] [12] [19] [20] [27] [45] [50]
17	Akihiro Nagaiwa	[33]
18	Yuichi Nagata	[13]
19	Kotaro Nakamura	[1]
20	Akira Nukuzuma	[3]
21	Isao Ono	[7] [8] [9] [14] [15] [18] [29] [36] [44] [46] [48] [52]
22	Seppo J. Ovaska	[35]
23	Rajkumar Roy	[35]
24	Jun Sakuma	[25] [31] [36] [37] [39] [40] [43] [44] [46] [47] [48] [49] [51] [52]
25	Takefumi Sakurai	[3]
26	Makihiko Sato	[34]
27	Makoto Sato	[23] [28]
28	Hiroshi Satoh	[5] [15]
29	Einoshin Suzuki	[41]
30	Tomohiro Takagi	[3]
31	Keiko Takahashi	[15]
32	Osamu Takahashi	[26]
33	Hisashi Tamaki	[10]
34	Etsuji Tomita	[4]
35	Chikao Tsuchiya	[36]
36	Rebecca N. Wright	[51]
37	Masayuki Yamamura	[2] [5] [6] [7] [8] [9] [11] [16]
38	Toshihiko Yokogawa	[3]
39	Takashi Yokomori	[4]

Colors in the list of coauthors