Swarm intelligence based algorithms: a critical analysis

Yang, Xin-She ORCID logoORCID: https://orcid.org/0000-0001-8231-5556 (2014) Swarm intelligence based algorithms: a critical analysis. Evolutionary Intelligence, 7 (1) . pp. 17-28. ISSN 1864-5909 [Article] (doi:10.1007/s12065-013-0102-2)

Abstract

Many optimization algorithms have been developed by drawing inspiration from swarm intelligence (SI). These SI-based algorithms can have some advantages over traditional algorithms. In this paper, we carry out a critical analysis of these SI-based algorithms by analyzing their ways to mimic evolutionary operators. We also analyze the ways of achieving exploration and exploitation in algorithms by using mutation, crossover and selection. In addition, we also look at algorithms using dynamic systems, self-organization and Markov chain framework. Finally, we provide some discussions and topics for further research.

Item Type: Article
Keywords (uncontrolled): Algorithm Cuckoo search Firefly algorithm Optimization Swarm intelligence Metaheuristic
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 15629
Useful Links:
Depositing User: Xin-She Yang
Date Deposited: 30 Apr 2015 13:27
Last Modified: 10 Jun 2019 13:07
URI: https://eprints.mdx.ac.uk/id/eprint/15629

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