A ranking-based fuzzy adaptive hybrid crow search algorithm for combined heat and power economic dispatch

作者：

Highlights：

• Hybridized Crow search algorithm (CSA) and Artificial Bee Colony (ABC).

• Used three mechanisms to improve CSA and ABC known as FRCSA-ABC.

• Tested on benchmark and Combined Heat and Economic Dispatch problems.

• Validated its search capability and robustness in cost-effectiveness.

• Conducted non-parametrical tests to prove its efficient optimization.

摘要

•Hybridized Crow search algorithm (CSA) and Artificial Bee Colony (ABC).•Used three mechanisms to improve CSA and ABC known as FRCSA-ABC.•Tested on benchmark and Combined Heat and Economic Dispatch problems.•Validated its search capability and robustness in cost-effectiveness.•Conducted non-parametrical tests to prove its efficient optimization.

论文关键词：Combined heat and power economic dispatch,Crow search algorithm,Artificial bee colony algorithm,Adaptive ranking selection,Fuzzy logic,Sine-Cosine

论文评审过程：Received 12 March 2020, Revised 24 November 2020, Accepted 28 January 2022, Available online 22 February 2022, Version of Record 15 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116625