Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving
作者：
Highlights：
• The theory-inspired proposition of objective and penalty functions split.
• Flow optimization in computer performed by a problem-dedicated method.
• Diversity increase by automatic and dynamic management of the penalty factor.
摘要
•The theory-inspired proposition of objective and penalty functions split.•Flow optimization in computer performed by a problem-dedicated method.•Diversity increase by automatic and dynamic management of the penalty factor.
论文关键词：Penalty factor separation,Diversity preservation,Evolutionary computation,Dynamic subpopulation number control,Messy-coding,Genetic algorithm
论文评审过程：Received 13 March 2019, Revised 15 November 2019, Accepted 8 December 2019, Available online 13 December 2019, Version of Record 20 December 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113126
