A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems

Based on Salp Swarm Algorithm (SSA) and Slime Mould Algorithm (SMA), a novel hybrid optimization algorithm, named Hybrid Slime Mould Salp Swarm Algorithm (HSMSSA), is proposed to solve constrained engineering problems. SSA can obtain good results in solving some optimization problems. However, it is...

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Bibliographic Details
Main Authors: Shuang Wang, Qingxin Liu, Yuxiang Liu, Heming Jia, Laith Abualigah, Rong Zheng, Di Wu
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2021/6379469