A salp swarm algorithm based on Harris Eagle foraging strategy

Xuncai Zhang, Shida Wang, Kai Zhao and Yanfeng Wang

Mathematics and Computers in Simulation (MATCOM), 2023, vol. 203, issue C, 858-877

Abstract: For the operation of the salp swarm algorithm(SSA), the leaders fall into local optimum, which leads to the population falling into local optimum problem. In this paper, a salp swarm algorithm based on Harris Eagle foraging strategy is proposed(ISSAHF). Harris hawk optimization algorithms of four types of feeding mechanism are integrated into salp location update process optimization algorithm follower. To strengthen the exploitation of potential areas, complemented by a multi-point leadership crossover strategy to maintain a balance between exploitation and exploration. The performance of the proposed ISSAHF was compared, and Wilcoxon’s statistical analysis was performed on 20 benchmark functions including unimodal, multimodal, and partial CEC2014. Finally, ISSAHF is applied to three practical engineering optimization problems to evaluate its optimization performance further.

Keywords: Salp Swarm Algorithm; Harris Eagle optimization algorithm; Multi-leader strategy; Swarm intelligence algorithm (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:203:y:2023:i:c:p:858-877

DOI: 10.1016/j.matcom.2022.07.018

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