A new biologically inspired global optimization algorithm based on firebug reproductive swarming behaviour

作者：

Highlights：

• A new biologically inspired global optimization algorithm is proposed.

• Proposed algorithm outperforms 17 popular algorithms.

• Random matrices are used to perform independent exploration in different dimensions.

• Update equations based on efficient Hadamard matrix multiplication.

• Significant performance advantage on highly multi-modal problems.

摘要

•A new biologically inspired global optimization algorithm is proposed.•Proposed algorithm outperforms 17 popular algorithms.•Random matrices are used to perform independent exploration in different dimensions.•Update equations based on efficient Hadamard matrix multiplication.•Significant performance advantage on highly multi-modal problems.

论文关键词：Swarm intelligence,Biologically inspired algorithm,Global optimization,Non-convex optimization,Metaheuristics

论文评审过程：Received 19 April 2020, Revised 30 May 2021, Accepted 9 June 2021, Available online 17 June 2021, Version of Record 19 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115408