A novel chaotic salp swarm algorithm for global optimization and feature selection

Volume: 48, Issue: 10, Pages: 3462 - 3481
Published: Oct 1, 2018
Abstract
Salp Swarm Algorithm (SSA) is one of the most recently proposed algorithms driven by the simulation behavior of salps. However, similar to most of the meta-heuristic algorithms, it suffered from stagnation in local optima and low convergence rate. Recently, chaos theory has been successfully applied to solve these problems. In this paper, a novel hybrid solution based on SSA and chaos theory is proposed. The proposed Chaotic Salp Swarm Algorithm...
Paper Details
Title
A novel chaotic salp swarm algorithm for global optimization and feature selection
Published Date
Oct 1, 2018
Volume
48
Issue
10
Pages
3462 - 3481
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.