PS–ABC: A hybrid algorithm based on particle swarm and artificial bee colony for high-dimensional optimization problems
作者：
Highlights：
• A hybrid algorithm (PS–ABC) based on PSO and ABC is proposed.
• PS–ABC examines the aging degree of pbest to decide which type of search phase.
• Particle swarm optimization (PSO) serves as a local search phase.
• Onlooker and modified scout bee from the ABC serves as two global search phases.
• Our algorithm is effective in solving high-dimensional optimization problems.
摘要
•A hybrid algorithm (PS–ABC) based on PSO and ABC is proposed.•PS–ABC examines the aging degree of pbest to decide which type of search phase.•Particle swarm optimization (PSO) serves as a local search phase.•Onlooker and modified scout bee from the ABC serves as two global search phases.•Our algorithm is effective in solving high-dimensional optimization problems.
论文关键词：Particle swarm optimization,Artificial bee colony,Hybrid algorithm,High-dimensional optimization problems
论文评审过程：Received 21 March 2015, Revised 2 June 2015, Accepted 17 July 2015, Available online 26 July 2015, Version of Record 6 September 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.07.043
