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10-01-2022 | Original Article

Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems

Authors: Hongliang Zhang, Tong Liu, Xiaojia Ye, Ali Asghar Heidari, Guoxi Liang, Huiling Chen, Zhifang Pan

Published in: Engineering with Computers | Issue 3/2023

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Abstract

There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its simple framework, it has been widely used in many fields. But when handling some complicated optimization problems, especially the multimodal and high-dimensional optimization problems, SSA will probably have difficulties in convergence performance or dropping into the local optimum. To mitigate these problems, this paper presents a chaotic SSA with differential evolution (CDESSA). In the proposed framework, chaotic initialization and differential evolution are introduced to enrich the convergence speed and accuracy of SSA. Chaotic initialization is utilized to produce a better initial population aim at locating a better global optimal. At the same time, differential evolution is used to build up the search capability of each agent and improve the sense of balance of global search and intensification of SSA. These mechanisms collaborate to boost SSA in accelerating convergence activity. Finally, a series of experiments are carried out to test the performance of CDESSA. Firstly, IEEE CEC2014 competition fuctions are adopted to evaluate the ability of CDESSA in working out the real-parameter optimization problems. The proposed CDESSA is adopted to deal with feature selection (FS) problems, then five constrained engineering optimization problems are also adopted to evaluate the property of CDESSA in dealing with real engineering scenarios. Experimental results reveal that the proposed CDESSA method performs significantly better than the original SSA and other compared methods.

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Title: Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
Authors: Hongliang Zhang
Tong Liu
Xiaojia Ye
Ali Asghar Heidari
Guoxi Liang
Huiling Chen
Zhifang Pan
Publication date: 10-01-2022
Publisher: Springer London
Published in: Engineering with Computers / Issue 3/2023
Print ISSN: 0177-0667
Electronic ISSN: 1435-5663
DOI: https://doi.org/10.1007/s00366-021-01545-x

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