Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution

作者：

Highlights：

• New memetic co-evolutionary algorithm for finding multi-objective games strategies is proposed.

• Convergence improvement and better results are obtained by suppressing the Red Queen effect.

• Important real-life applications in time-sensitive or computationally expensive games.

摘要

•New memetic co-evolutionary algorithm for finding multi-objective games strategies is proposed.•Convergence improvement and better results are obtained by suppressing the Red Queen effect.•Important real-life applications in time-sensitive or computationally expensive games.

论文关键词：Multi-objective games,Red Queen effect,Surrogate-assisted memetic algorithm

论文评审过程：Received 5 November 2017, Revised 12 February 2018, Accepted 9 May 2018, Available online 10 May 2018, Version of Record 26 May 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.05.012