Re-sampled inheritance compact optimization

作者：

Highlights：

• We present a framework combining a partial restart mechanism with compact algorithms.

• We test the framework on a broad range of benchmark and real-world problems.

• Different memory-limited algorithms perform differently at different scales.

• Compact algorithms with restart can perform better than population-based algorithms.

摘要

•We present a framework combining a partial restart mechanism with compact algorithms.•We test the framework on a broad range of benchmark and real-world problems.•Different memory-limited algorithms perform differently at different scales.•Compact algorithms with restart can perform better than population-based algorithms.

论文关键词：Compact optimization,Re-sampled inheritance,Differential evolution,Bacterial foraging optimization,Particle swarm optimization,Genetic algorithm

论文评审过程：Received 2 May 2020, Revised 8 July 2020, Accepted 19 August 2020, Available online 12 September 2020, Version of Record 15 September 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106416