2018/04/21 by Xin-She Yang, Suash Deb, Yuxin Zhao +2 · 1 citation
Computer Science · Mathematics · #cs.NE #math.OC #msc:68T99 #msc:90C30 #msc:90C59
paper · pdf · doi:10.1007/s00500-017-2810-5
Soft Computing, 2017
arxiv created 2018/04/21 · arxiv updated 2018/04/24
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.