Swarm Intelligence: Past, Present and Future
Neural and Evolutionary Computing
2018-04-24 v1 Optimization and Control
Abstract
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.
Cite
@article{arxiv.1804.07999,
title = {Swarm Intelligence: Past, Present and Future},
author = {Xin-She Yang and Suash Deb and Yuxin Zhao and Simon Fong and Xingshi He},
journal= {arXiv preprint arXiv:1804.07999},
year = {2018}
}
Comments
Soft Computing, 2017