Swarm intelligence: past, present and future
Yang, Xin-She; Deb, Suash; Zhao, Yu-Xin; Fong, Simon; He, Xingshi
Publication Place233 SPRING ST, NEW YORK, NY 10013 USA
AbstractMany optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such challenging problems. Some significant developments have been made in recent years, though there are still many open problems in this area. This paper provides a short but timely analysis about SI-based algorithms and their links with self-organization. Different characteristics and properties are analyzed here from both mathematical and qualitative perspectives. Future research directions are outlined, and open questions are also highlighted.
KeywordSwarm intelligence Nature-inspired algorithms Optimization Self-organization Bioinspired computing Metaheuristics
URLView the original
Indexed BySCIE ; CPCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000442576400002
The Source to ArticleWOS
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Cited Times [WOS]:25   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Yang, Xin-She,Deb, Suash,Zhao, Yu-Xin,et al. Swarm intelligence: past, present and future[C]. 233 SPRING ST, NEW YORK, NY 10013 USA:SPRINGER,2018:5923-5933.
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