2008 |
19 | EE | Tetsuyuki Takahama,
Setsuko Sakai:
Reducing function evaluations in Differential Evolution using rough approximation-based comparison.
IEEE Congress on Evolutionary Computation 2008: 2307-2314 |
2007 |
18 | EE | Miyuki Shibasaka,
Akira Hara,
Takumi Ichimura,
Tetsuyuki Takahama:
Species-based differential evolution with switching search strategies for multimodal function optimization.
IEEE Congress on Evolutionary Computation 2007: 1183-1190 |
17 | EE | Tetsuyuki Takahama,
Setsuko Sakai,
Akira Hara,
Noriyuki Iwane:
Structural learning of neural networks by differential evolution with degeneration using mappings.
IEEE Congress on Evolutionary Computation 2007: 3434-3441 |
2005 |
16 | EE | Tetsuyuki Takahama,
Setsuko Sakai,
Noriyuki Iwane:
Constrained Optimization by the epsilon Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm.
Australian Conference on Artificial Intelligence 2005: 389-400 |
15 | EE | Akira Hara,
Takumi Ichimura,
Tetsuyuki Takahama,
Yoshinori Isomichi,
Motoki Shigemi:
Effect of Direct Communication in Ant System.
KES (1) 2005: 925-931 |
14 | EE | Toshihiro Ikeda,
Akira Hara,
Takumi Ichimura,
Tetsuyuki Takahama,
Yuko Taniguchi,
Hiroshige Yamada,
Ryota Hakozaki,
Haruo Sakuda:
Multi-agent Cluster System for Optimal Performance in Heterogeneous Computer Environments.
KES (1) 2005: 932-937 |
13 | EE | Akira Hara,
Takumi Ichimura,
Tetsuyuki Takahama,
Yoshinori Isomichi:
Extraction of Risk Factors by Multi-agent Voting Model Using Automatically Defined Groups.
KES (3) 2005: 1218-1224 |
12 | EE | Tetsuyuki Takahama,
Setsuko Sakai:
Constrained Optimization by epsilon Constrained Particle Swarm Optimizer with epsilon-level Control.
WSTST 2005: 1019-1029 |
11 | EE | Tetsuyuki Takahama,
Setsuko Sakai:
Constrained optimization by applying the /spl alpha/ constrained method to the nonlinear simplex method with mutations.
IEEE Trans. Evolutionary Computation 9(5): 437-451 (2005) |
10 | EE | Tetsuyuki Takahama,
Setsuko Sakai:
Constrained Optimization by the alpha Constrained Particle Swarm Optimizer.
JACIII 9(3): 282-289 (2005) |
2004 |
9 | EE | Akira Hara,
Takumi Ichimura,
Tetsuyuki Takahama,
Yoshinori Isomichi:
Extraction of Rules from Coronary Heart Disease Database Using Automatically Defined Groups.
KES 2004: 1089-1096 |
8 | EE | Tetsuyuki Takahama,
Setsuko Sakai:
Structural learning of neural networks by coevolutionary genetic algorithm with degeneration.
SMC (4) 2004: 3507-3512 |
7 | EE | Tetsuyuki Takahama,
Setsuko Sakai:
Constrained optimization by constrained genetic algorithm (alpha GA).
Systems and Computers in Japan 35(5): 11-22 (2004) |
6 | EE | Tetsuyuki Takahama,
Setsuko Sakai,
Takumi Ichimura,
Yoshinori Isomichi:
Structural optimization by genetic algorithm with degeneration (GA d).
Systems and Computers in Japan 35(5): 32-43 (2004) |
2003 |
5 | EE | Akira Hara,
Takumi Ichimura,
Tetsuyuki Takahama,
Yoshinori Isomichi:
Extraction of Rules by Heterogeneous Agents Using Automatically Defined Groups.
KES 2003: 1405-1411 |
4 | EE | Takumi Ichimura,
Akira Hara,
Tetsuyuki Takahama,
Yoshinori Isomichi,
Rie Utsunomiya:
Multi-objective Decision Making by AHP and Its Application to Personal Preference Retrieval System.
KES 2003: 474-480 |
3 | EE | Tetsuyuki Takahama,
Setsuko Sakai:
Learning fuzzy control rules by alpha-constrained Simplex method.
Systems and Computers in Japan 34(6): 80-90 (2003) |
2002 |
2 | EE | Tetsuyuki Takahama,
Setsuko Sakai,
Yoshinori Isomichi:
MGGA: Genetic algorithm with mutant genes.
Systems and Computers in Japan 33(14): 23-33 (2002) |
2000 |
1 | EE | Shinichi Oeda,
Takumi Ichimura,
M. Terauchi,
Tetsuyuki Takahama,
Yoshinori Isomichi:
Adaptive evolutional learning method of neural networks using genetic algorithms under dynamic environments.
KES 2000: 742-745 |