A compact compound sinusoidal differential evolution algorithm for solving optimisation problems in memory-constrained environments

作者：

Highlights：

• A compact compound sinusoidal differential evolution, CScDE, is proposed.

• CScDE uses sinusoidal formulas to adjust the parameters of compact DE.

• Both binomial and exponential crossover are tested.

• CScDE is applied on 89 reference problems with several dimensions.

• CScDE outperformed state-of-the-art compact algorithms.

摘要

•A compact compound sinusoidal differential evolution, CScDE, is proposed.•CScDE uses sinusoidal formulas to adjust the parameters of compact DE.•Both binomial and exponential crossover are tested.•CScDE is applied on 89 reference problems with several dimensions.•CScDE outperformed state-of-the-art compact algorithms.

论文关键词：Limited-memory hardware,Compact optimisation,Evolutionary algorithms,Parameter setting,Compound Sinusoidal Differential Evolution

论文评审过程：Received 2 March 2021, Revised 25 May 2021, Accepted 30 July 2021, Available online 2 September 2021, Version of Record 13 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115705