DPD: An intelligent parallel hybrid algorithm for economic load dispatch problems with various practical constraints

作者：

Highlights：

• A parallel hybrid algorithm (DPD) based on DE and PSO is proposed.

• The `tri-population' mechanism increased the robustness of DPD.

• The algorithm relies on Elitism and Non-redundant Search.

• DPD obtains competitive performance compared with state-of-the-art methods.

• The DPD has a better quality solution with the ability to converge.

摘要

•A parallel hybrid algorithm (DPD) based on DE and PSO is proposed.•The `tri-population' mechanism increased the robustness of DPD.•The algorithm relies on Elitism and Non-redundant Search.•DPD obtains competitive performance compared with state-of-the-art methods.•The DPD has a better quality solution with the ability to converge.

论文关键词：Differential Evolution,Particle Swarm Optimization,Non-redundant search,Elitism,IEEE CEC 2006 Problem,Economic Load Dispatch problem

论文评审过程：Received 16 June 2014, Revised 7 July 2016, Available online 9 July 2016, Version of Record 16 July 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.012