A successful candidate strategy with Runge-Kutta optimization for multi-hydropower reservoir optimization

作者：

Highlights：

• Successful candidate strategy coupled with Runge-Kutta optimization (ScsRUN) is proposed.

• Successful candidate strategy is added to boost global and local search mechanism.

• A novel enhanced solution quality (ESQ) is adapted to break free from local positions.

• ScsRUN is evaluated over 29 benchmark functions and a complex real world problem.

• ScsRUN's superiority over advanced algorithms has been shown.

摘要

•Successful candidate strategy coupled with Runge-Kutta optimization (ScsRUN) is proposed.•Successful candidate strategy is added to boost global and local search mechanism.•A novel enhanced solution quality (ESQ) is adapted to break free from local positions.•ScsRUN is evaluated over 29 benchmark functions and a complex real world problem.•ScsRUN's superiority over advanced algorithms has been shown.

论文关键词：Runge-Kutta,Optimization,Hydropower,Multi-reservoir,Successful candidate strategy,RUN,Runge Kutta Optimization,Metaheuristic

论文评审过程：Received 18 February 2022, Revised 22 July 2022, Accepted 1 August 2022, Available online 5 August 2022, Version of Record 9 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118383