Art

J-GLOBAL ID：201902285772671051   Reference number：19A0421264

PERFORMANCE ENHANCEMENT OF DIFFERENTIAL EVOLUTION BY DIRECT ALGORITHM

DIRECTアルゴリズムによる差分進化の性能強化

Author (3)： KUSHIDA Jun-ichi (Hiroshima City Univ., Hiroshima-shi, JPN) ,  HARA Akira (Hiroshima City Univ., Hiroshima-shi, JPN) ,  TAKAHAMA Tetsuyuki (Hiroshima City Univ., Hiroshima-shi, JPN)
Material： International Journal of Innovative Computing, Information and Control  (IJICIC)
Volume： 15  Issue： 2  Page： 607-616  Publication year： Apr. 2019 
JST Material Number： F1199A  ISSN： 1349-4198  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *optimization method ,  *segmentation ,  population (statistics) ,  *efficiency ,  black box ,  algorithm ,  division and resolution ,  space division ,  evolution algorithm ,  *differential evolution
Semi thesaurus term： *differential evolution ,  optimization algorithm ,  *search efficiency ,  *segmentation

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

Reference (14)：

• J. H. Holland, Adaptation in natural and artificial systems: An introductory analysis with applications to biology, Control, and Artificial Intelligence, MIT Press, 1992.
• J. Kennedy, Particle swarm optimization, Encyclopedia of Machine Learning, Springer US, pp.760-766, 2011.
• R. Storn and K. V. Price, Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, vol.11, no.4, pp.341-359, 1997.
• I. Zelinka, A survey on evolutionary algorithms dynamics and its complexity - Mutual relations, past, present and future, Swarm and Evolutionary Computation, vol.25, pp.2-14, 2015.
• S. Das and P. N. Suganthan, Differential evolution: A survey of the state-of-the-art, IEEE Trans. Evolutionary Computation, vol.15, no.1, pp.4-31, 2011.

Terms in the title (3)： アルゴリズム ,  差分進化 ,  強化