Enhanced Butterfly Optimization Algorithm with a New fuzzy Regulator Strategy and Virtual Butterfly Concept

作者：

Highlights：

• Developing a new fuzzy decision-making strategy to adjust the search behavior of the algorithm.

• Defining an auxiliary agent called “virtual butterfly” to strengthen the search capacity.

• Upgrading Butterfly Optimization Algorithm to a self-adaptive search technique.

• Evaluating the method on solving mathematical, mechanical and structural optimization problems.

摘要

•Developing a new fuzzy decision-making strategy to adjust the search behavior of the algorithm.•Defining an auxiliary agent called “virtual butterfly” to strengthen the search capacity.•Upgrading Butterfly Optimization Algorithm to a self-adaptive search technique.•Evaluating the method on solving mathematical, mechanical and structural optimization problems.

论文关键词：Butterfly Optimization Algorithm,Fuzzy logic,Engineering optimization problems

论文评审过程：Received 26 November 2020, Revised 15 April 2021, Accepted 4 July 2021, Available online 8 July 2021, Version of Record 14 July 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107291