A fuzzy adaptive particle swarm optimization algorithm with Gaussian mutation for constrained engineering problems

Chenwei Pu

doi:10.1016/j.asoc.2025.113908

A fuzzy adaptive particle swarm optimization algorithm with Gaussian mutation for constrained engineering problems

2025-09-16

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DOI：10.1016/j.asoc.2025.113908

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• A fuzzy inference-based adaptive PSO algorithm with Gaussian mutation is proposed. • The concept of maximum dimensional difference weight is introduced as a fuzzy input. • The key parameters in the proposed algorithm are adaptively tuned by fuzzy inference. • Two single-example learning strategies based on Gaussian mutation are introduced. • The proposed algorithm provides better solutions for 11 out of 14 engineering problems.

A fuzzy adaptive particle swarm optimization algorithm with Gaussian mutation for constrained engineering problems

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