Parallel multi-agent real-coded genetic algorithm for large-scale black-box single-objective optimisation

作者：

Highlights：

• We developed a new multi-agent real-coded genetic algorithm (MA-RCGA).

• There are investigated different performance characteristics of MA-RCGA.

• MA-RCGA has been compared with other optimisation algorithms using test instances.

• MA-RCGA was applied for solving a large-scale single-objective optimisation problem.

摘要

•We developed a new multi-agent real-coded genetic algorithm (MA-RCGA).•There are investigated different performance characteristics of MA-RCGA.•MA-RCGA has been compared with other optimisation algorithms using test instances.•MA-RCGA was applied for solving a large-scale single-objective optimisation problem.

论文关键词：Real-coded genetic algorithms,Multi-agent genetic algorithms,Black-box single-objective optimisation,Simulation modelling

论文评审过程：Received 17 August 2018, Revised 22 January 2019, Accepted 4 March 2019, Available online 12 March 2019, Version of Record 18 April 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.03.003