Chaos-enhanced multiple-choice strategy for particle swarm optimisation. Issue 6 (1st November 2020)

• Record Type: Journal Article
• Authors: Pluhacek, Michal; Senkerik, Roman; Viktorin, Adam; Kadavy, Tomas
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 35:Issue 6(2020)
• Page Start: 603
• Page End: 616
• Publication Date: 2020-11-01
• Subjects: Particle swarm -- chaos -- PSO -- heterogeneous swarm -- multiple-choice strategy; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2018.1487064
• Languages: English
• ISSNs: 1744-5760

Abstract

ABSTRACT: In this paper, we use pseudo-random number generators based on six chaotic systems to enhance the performance of multiple-choice strategy for particle swarm optimisation (PSO). The multiple-choice strategy is a heterogeneous swarm-based method. We present the results of benchmark testing using the latest CEC'17 benchmark suite. The performance of the proposed method is compared with the canonical PSO and evaluated for statistical significance. Utilising of pseudo-random number generators based on six chaotic systems to enhance the performance of multiple-choice strategy for particle swarm optimization. GRAPHICAL ABSTRACT: