Quantum firefly swarms for multimodal dynamic optimization problems

作者：

Highlights：

• Firefly Algorithm is extended as a multi-population based algorithm for dynamic optimization.

• Quantum individuals are employed.

• A simple but effective sub-swarm prioritizing strategy is proposed.

• Firefly Algorithm is further enhanced and is referred to as Economical Firefly Algorithm.

摘要

•Firefly Algorithm is extended as a multi-population based algorithm for dynamic optimization.•Quantum individuals are employed.•A simple but effective sub-swarm prioritizing strategy is proposed.•Firefly Algorithm is further enhanced and is referred to as Economical Firefly Algorithm.

论文关键词：Dynamic optimization,Moving peaks benchmark,Multi-modal optimization,Firefly algorithm,Quantum particles

论文评审过程：Received 22 May 2018, Revised 4 August 2018, Accepted 5 August 2018, Available online 6 August 2018, Version of Record 14 August 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.08.007