Art

J-GLOBAL ID：201702265048463814   Reference number：17A0681410

Particle Swarm Optimizer Networks with Stochastic Connection for Improvement of Diversity Search Ability to Solve Multimodal Optimization Problems

マルチモーダル最適化問題を解くための多様性検索能力の改善に対する確率的接続を有する粒子群最適化ネットワーク

Author (4)： SASAKI Tomoyuki (Tokyo City University) ,  NAKANO Hidehiro (Tokyo City University) ,  MIYAUCHI Arata (Tokyo City University) ,  TAGUCHI Akira (Tokyo City University)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Web)  (IEICE Trans Fundam Electron Commun Comput Sci (Web))
Volume： E100.A  Issue： 4  Page： 996-1007(J-STAGE)  Publication year： 2017 
JST Material Number： U0466A  ISSN： 1745-1337  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *optimization ,  retrieval ,  *improvement ,  *network ,  population(statistics) ,  solution(mathematics) ,  network structure
Semi thesaurus term： *multimodal optimization ,  *improvement ,  *particle swarm optimization ,  PSO ,  local optimal solution ,  network topology

Author keywords (4)： metaheuristic methods ,  particle swarm optimizer networks ,  network topology ,  stochastic connection

JST classification (1)： System optimization methods  (IA02050Z)

Reference (24)：

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• [2] Y. Shi and R. Eberhart, “Modified particle swarm optimizer,” Proc. IEEE ICEC, pp.69-73, 1998.
• [3] Z. Beheshti and S.M. Shamsuddin, “A review of population-based meta-heuristic algorithm,” Int. J. Advance in Soft Computing and Its Applications, vol.5, no.1, pp.1-35, 2013.
• [4] R. Eberhart and J. Kennedy, “Human tremor analysis using particle swarm optimization,” Proc. 1999 Congr. Evol. Comput., pp.1927-1930, 1999.
• [5] H. Yoshitaka, K. Kawata, Y. Fukuyama, S. Takayama, and Y. Nakanishi, “A particle swarm optimization for reactive power and voltage control considering voltage security assessment,” IEEE Trans. Power Syst., vol.15, no.4, pp.1232-1239, 2000.

Terms in the title (6)： マルチモーダル最適化 ,  多様性 ,  検索 ,  能力 ,  確率 ,  粒子群最適化