Swarm Intelligence: Past, Present and Future

Autor:	Yang, Xin-She, Deb, Suash, Zhao, Yuxin, Fong, Simon, He, Xingshi
Rok vydání:	2018
Předmět:	Computer Science - Neural and Evolutionary Computing Mathematics - Optimization and Control 68T99 90C30 90C59
Druh dokumentu:	Working Paper
DOI:	10.1007/s00500-017-2810-5
Popis:	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. Comment: Soft Computing, 2017
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1804.07999 Zobrazit plný text záznamu View this record from Arxiv