Improved Salp Swarm Algorithm with Simulated Annealing for Solving Engineering Optimization Problems

Swarm-based algorithm can successfully avoid the local optimal constraints, thus achieving a smooth balance between exploration and exploitation. Salp swarm algorithm (SSA), as a swarm-based algorithm on account of the predation behavior of the salp, can solve complex daily life optimization problem...

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Bibliographic Details
Published in:	Symmetry (Basel) Vol. 13; no. 6; p. 1092
Main Authors:	Duan, Qing, Wang, Lu, Kang, Hongwei, Shen, Yong, Sun, Xingping, Chen, Qingyi
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-06-2021
Subjects:	Algorithms Convergence Engineering engineering optimization problems Food Genetic algorithms Group dynamics Heuristic Intelligence Optimization Optimization algorithms Perturbation Population salp swarm algorithm Simulated annealing single objective optimization swarm-based algorithm symmetric perturbation
Online Access:	Get full text
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