Artificial electric field algorithm for engineering optimization problems

作者：

Highlights：

• Artificial Electric Field Algorithm with novel velocity and position bounds.

• Comparative experimental analysis of AEFA-C and AEFA algorithm.

• AEFA-C is evaluated over IEEE CEC 2017 challenging benchmark set of 28 problems.

• Real life engineering design optimization problems are solved using AEFA-C.

摘要

•Artificial Electric Field Algorithm with novel velocity and position bounds.•Comparative experimental analysis of AEFA-C and AEFA algorithm.•AEFA-C is evaluated over IEEE CEC 2017 challenging benchmark set of 28 problems.•Real life engineering design optimization problems are solved using AEFA-C.

论文关键词：AEFA Algorithm,Constrained optimization,Engineering design problem,Soft computing

论文评审过程：Received 11 July 2019, Revised 9 February 2020, Accepted 11 February 2020, Available online 13 February 2020, Version of Record 21 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113308