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Keiichiro Yasuda
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2020 – today
- 2024
- [c60]Yusuke Yasuda
, Kenichi Tamura
, Keiichiro Yasuda
:
Analyzing Violation Landscapes Using Different Definitions of Constraint Violation. GECCO Companion 2024: 1815-1823 - [c59]Yusuke Yasuda
, Kenichi Tamura, Keiichiro Yasuda:
A Bilayered Decomposition Technique for Handling Complex Constrained Multi-Objective Optimization Problems. SMC 2024: 3281-3286 - 2023
- [c58]Yusuke Yasuda
, Kenichi Tamura
, Keiichiro Yasuda
:
Extending MOEA/D to Constrained Multi-objective Optimization via Making Constraints an Objective Function. GECCO Companion 2023: 435-438 - [c57]Yusuke Yasuda
, Hidetoki Kojima, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda:
A Switching Normalization Method in Decomposition-based Constraint Handling for Constrained Optimization. SICE 2023: 1555-1562 - [c56]Keigo Nakada, Daisuke Sekii, Kenichi Tamura, Keiichiro Yasuda:
Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space with Stochastic Neighborhood Selection. SMC 2023: 5058-5063 - [c55]Yuji Sato, Watatu Kumagai, Yusuke Yasuda
, Kenichi Tamura, Keiichiro Yasuda:
Differential Evolution Using Superior Infeasible Solutions for Constrained Optimization. SMC 2023: 5064-5069 - 2022
- [c54]Yusuke Yasuda
, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda:
MOEA/D with Feasibility-based Weight Adjustment for Constrained Optimization. SSCI 2022: 1560-1566 - 2020
- [j3]Kenichi Tamura
, Keiichiro Yasuda:
The Spiral Optimization Algorithm: Convergence Conditions and Settings. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 360-375 (2020)
2010 – 2019
- 2019
- [c53]Xuyuan Li, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Combinatorial Optimization Method Using Expanded Search Mechanism Based on Hierarchical Interpretation in Solution Space. SMC 2019: 3154-3159 - 2018
- [c52]Ryu Fukushima, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Fitness-Based Search Method for Superior Solution Set Search Problem. SMC 2018: 757-762 - [c51]Keiichiro Yasuda, Junichi Tsuchiya, Kenichi Tamura, Yuta Obinata:
Combinatorial Optimization Method Using Distance in Scheduling Problem. SMC 2018: 1195-1200 - [c50]Wataru Kumagai
, Keiichiro Yasuda:
Particle Swarm Optimization with Rotational Invariance Using Correlativity. SMC 2018: 1201-1208 - [c49]Hongran Wang, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Adaptive Firefly Algorithm Based on Diversification and Intensification for Superior Solution Set Search. SMC 2018: 2798-2805 - [c48]Ryu Fukushima, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
A Genetic Algorithm for Superior Solution Set Search Problem. SoCPaR 2018: 105-115 - [c47]Yuta Obinata, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Combinatorial Optimization Method Considering Distance in Scheduling Problem. SoCPaR 2018: 147-157 - [c46]Hongran Wang, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Superior Relation Based Firefly Algorithm in Superior Solution Set Search. SoCPaR 2018: 167-176 - 2017
- [c45]Kenshiro Nakatake, Yuta Nakashima, Ryo Iwamoto, Ayase Tashima, Yusuke Kitamura, Keiichiro Yasuda, Masaaki Iwatsuki, Hideo Baba, Toshihiro Ihara, Yoshitaka Nakanishi
:
Fabrication of three-dimensional deformable microfilter for capturing target cells. MHS 2017: 1-3 - [c44]Yuki Miyake, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Adaptive Cuckoo search based on ranking of search point. SMC 2017: 1788-1792 - [c43]Masatoshi Hashimoto, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Combinatorial optimization method with search strategy based on hierarchical interpretation of solution space. SMC 2017: 1862-1867 - [c42]Hongran Wang, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda:
Firefly algorithm using cluster information for superior solution set search. SMC 2017: 3695-3699 - 2016
- [c41]Ryuta Oosumi, Kenichi Tamura, Keiichiro Yasuda:
Novel single-objective optimization problem and Firefly Algorithm-based optimization method. SMC 2016: 1011-1015 - [c40]Seijun Morita, Kenichi Tamura, Keiichiro Yasuda:
Functional specialization based search strategy for multi-objective optimization. SMC 2016: 1016-1021 - 2015
- [c39]Tomoki Sawairi, Kenichi Tamura, Keiichiro Yasuda:
A Smart Strategy for Supply-Demand Control for Distributed Energy Systems. SMC 2015: 8-13 - [c38]Wataru Kumagai
, Kenichi Tamura, Keiichiro Yasuda:
Search Dynamics Analysis and Adaptive Parameter Adjustment of Cuckoo Search. SMC 2015: 1700-1705 - [c37]Masahide Morita, Hiroki Ochiai, Kenichi Tamura, Keiichiro Yasuda:
Multi-point Search Combinatorial Optimization Method Based on Neighborhood Search Using Evaluation of Big Valley Structure. SMC 2015: 2835-2840 - 2014
- [c36]Kenichi Tamura, Keiichiro Yasuda:
Primary study on feedback controlled differential evolution. IEEE Congress on Evolutionary Computation 2014: 371-378 - [c35]Kimihiro Suzuki, Kenichi Tamura, Keiichiro Yasuda:
Study on Cluster-structured Spiral Optimization. SMC 2014: 94-99 - 2013
- [c34]Kenichi Tamura, Keiichiro Yasuda:
The Spiral Optimization and its stability analysis. IEEE Congress on Evolutionary Computation 2013: 1075-1082 - [c33]Hirotaka Katayama, Kenichi Tamura, Keiichiro Yasuda:
Multi-objective Integrated Optimization Using Optimization, Modeling and Simulation. SMC 2013: 3537-3542 - [c32]Hiroki Ochiai, Kenichi Tamura, Keiichiro Yasuda:
Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space. SMC 2013: 3543-3548 - [c31]Kenichi Tamura, Keiichiro Yasuda:
A Stability Analysis Based Parameter Setting Method for Spiral Optimization. SMC 2013: 3909-3914 - [c30]Ruren Ji, Kenichi Tamura, Keiichiro Yasuda:
Adaptive Parameter Adjustment of Differential Evolution. SMC 2013: 3915-3920 - 2012
- [c29]Kenichi Tamura, Keiichiro Yasuda:
Statistical Analysis Based Adjustment Method for Convergence Rate of Spiral Optimization. SEMCCO 2012: 653-661 - [c28]Keiichiro Yasuda, Kengo Makise, Kenichi Tamura:
A study on combination of differential evolution and evolution strategy. SMC 2012: 587-592 - [c27]Kenichi Tamura, Keiichiro Yasuda:
Quantitative analysis based tuning law for convergence rate of Spiral Optimization. SMC 2012: 767-772 - [c26]Keiichiro Yasuda, Shunsuke Oya, Kenichi Tamura:
A basic study on autonomous decentralized operation for distributed energy systems. SMC 2012: 3185-3190 - 2011
- [j2]Kenichi Tamura, Keiichiro Yasuda:
Spiral Dynamics Inspired Optimization. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1116-1122 (2011) - [c25]Kenichi Tamura, Keiichiro Yasuda:
Spiral Multipoint Search for Global Optimization. ICMLA (1) 2011: 470-475 - [c24]Keiichiro Yasuda, Kazuyuki Yazawa:
Parameter self-adjusting strategy for Particle Swarm Optimization. ISDA 2011: 265-270 - [c23]Toshiaki Tashiro, Kenichi Tamura, Keiichiro Yasuda:
Modeling and optimal operation of distributed energy systems via Dynamic Programming. SMC 2011: 808-813 - [c22]Takahiro Kosuge, Keiichiro Yasuda, Junichi Tsuchiya:
Magnetic pole shape optimization for motor using integrated optimization with constraints. SMC 2011: 1562-1567 - [c21]Kouta Yaguchi, Kenichi Tamura, Keiichiro Yasuda, Atsushi Ishigame:
Basic study of proximate optimality principle based combinatorial optimization method. SMC 2011: 1753-1758 - [c20]Kenichi Tamura, Keiichiro Yasuda:
Spiral optimization -A new multipoint search method. SMC 2011: 1759-1764 - 2010
- [c19]Tomoyuki Tanaka, Kenichi Tamura, Keiichiro Yasuda:
Integrated optimization based on successive adaptive approximation. SMC 2010: 74-79 - [c18]Daichi Kamiyama, Kenichi Tamura, Keiichiro Yasuda:
Differential evolution with Down-hill Simplex Method based on average distance. SMC 2010: 203-208
2000 – 2009
- 2008
- [c17]Keiichiro Yasuda, Nobuhiro Iwasaki, Genki Ueno:
On the Stability and the Parameters of Particle Swarm Optimization. ANTS Conference 2008: 407-408 - [c16]Chen Qian, Keiichiro Yasuda:
Particle Swarm Optimization via successive optimization in its parameter space. SMC 2008: 932-937 - [c15]Hiroyuki Jinnai, Keiichiro Yasuda, Atsushi Ishigame:
Similarity measure of proximate optimality principle and Multi-Point Tabu Search. SMC 2008: 1669-1674 - [c14]Nobuhiro Iwasaki, Keiichiro Yasuda, Genki Ueno:
Particle Swarm Optimization: Dynamic parameter adjustment using swarm activity. SMC 2008: 2634-2639 - 2007
- [c13]Shinichi Nakano, Atsushi Ishigame, Keiichiro Yasuda:
Particle swarm optimization based on the concept of tabu search. IEEE Congress on Evolutionary Computation 2007: 3258-3263 - 2006
- [c12]Mitsuharu Higashitani, Atsushi Ishigame, Keiichiro Yasuda:
Particle Swarm Optimization Considering the Concept of Predator-Prey Behavior. IEEE Congress on Evolutionary Computation 2006: 434-437 - [c11]Tsunayoshi Ishii, Keiichiro Yasuda:
Hierarchical Decentralized Autonomous Control in Super-Distributed Energy System. SMC 2006: 746-751 - [c10]Daichi Niizuma, Keiichiro Yasuda, Atsushi Ishigame:
Multi-point Tabu Search based on Proximate Optimality Principle. SMC 2006: 2297-2302 - [c9]Teruyoshi Yamaguchi, Keiichiro Yasuda:
Adaptive Particle Swarm Optimization; Self-coordinating Mechanism with Updating Information. SMC 2006: 2303-2308 - [c8]Atsushi Ishigame, Mitsuharu Higashitani, Keiichiro Yasuda:
Neural Stabilizing Controller Based on Co-evolutionary Predator-Prey Particle Swarm Optimization. SMC 2006: 4337-4342 - 2005
- [c7]Keisuke Miyamoto, Keiichiro Yasuda:
Multipoint-based tabu search using proximate optimality principle. SMC 2005: 3094-3099 - [c6]Genki Ueno, Keiichiro Yasuda, Nobuhiro Iwasaki:
Robust adaptive particle swarm optimization. SMC 2005: 3915-3920 - [c5]Keiichiro Yasuda, Nobuhiro Iwasaki:
Adaptive Particle Swarm Optimization via Velocity Feedback. WSTST 2005: 423-432 - 2004
- [c4]Keiichiro Yasuda, Nobuhiro Iwasaki:
Adaptive particle swarm optimization using velocity information of swarm. SMC (4) 2004: 3475-3481 - 2003
- [c3]Keiichiro Yasuda, Azuma Ide, Nobuhiro Iwasaki:
Adaptive particle swarm optimization. SMC 2003: 1554-1559 - [c2]Keiichiro Yasuda, Takaaki Kanazawa:
Proximate optimality principle based Tabu Search. SMC 2003: 1560-1565 - 2002
- [c1]Keiichiro Yasuda, Tsunayoshi Ishii:
Decentralized autonomous control of super distributed energy systems. SMC 2002: 6
1980 – 1989
- 1983
- [j1]Masao Ikeda, Dragoslav D. Siljak, Keiichiro Yasuda:
Optimality of decentralized control for large-scale systems. Autom. 19(3): 309-316 (1983)
Coauthor Index
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