A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation

作者：

Highlights：

• A survey of nature-inspired optimization algorithms with fuzzy logic is presented.

• A review is made of the optimization techniques in which fuzzy logic is used for parameter adaptation.

• The review covers Particle Swarm Optimization, Gravitational Search Algorithm, and Ant Colony Optimization.

摘要

•A survey of nature-inspired optimization algorithms with fuzzy logic is presented.•A review is made of the optimization techniques in which fuzzy logic is used for parameter adaptation.•The review covers Particle Swarm Optimization, Gravitational Search Algorithm, and Ant Colony Optimization.

论文关键词：Particle Swarm Optimization,Gravitational Search Algorithm,Ant Colony Optimization,Fuzzy logic

论文评审过程：Available online 19 April 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.04.015