DTSMA: Dominant Swarm with Adaptive T-distribution Mutation-based Slime Mould Algorithm

DTSMA: Dominant Swarm with Adaptive T-distribution Mutation-based Slime Mould Algorithm

The slime mould algorithm (SMA) is a metaheuristic algorithm recently proposed, which is inspired by the oscillations of slime mould. Similar to other algorithms, SMA also has some disadvantages such as insufficient balance between exploration and exploitation, and easy to fall into local optimum. T...

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Bibliographic Details
Main Authors: Shihong Yin, Qifang Luo, Yanlian Du, Yongquan Zhou
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
slime mould algorithm
t-distribution mutation
functions optimization
engineering problems
metaheuristic optimization
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022105?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2022105?viewType=HTML

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