Journal
SOFT COMPUTING
Volume 22, Issue 18, Pages 5923-5933Publisher
SPRINGER
DOI: 10.1007/s00500-017-2810-5
Keywords
Swarm intelligence; Nature-inspired algorithms; Optimization; Self-organization; Bioinspired computing; Metaheuristics
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Many 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.
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