Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problems
作者：
Highlights：
• A theorem characterizing the property of the optimal solution is presented.
• A hybrid evolutionary algorithm (HEA) is proposed.
• Extreme machine learning is used to approximate the fitness of most individuals.
• Two heuristics are incorporated to generate a good initial population.
• The proposed algorithm is computationally effective.
摘要
•A theorem characterizing the property of the optimal solution is presented.•A hybrid evolutionary algorithm (HEA) is proposed.•Extreme machine learning is used to approximate the fitness of most individuals.•Two heuristics are incorporated to generate a good initial population.•The proposed algorithm is computationally effective.
论文关键词：Facility location,Evolutionary algorithm,Fitness approximation,Local search,Extreme machine learning
论文评审过程：Received 11 March 2016, Revised 1 November 2016, Accepted 19 November 2016, Available online 26 November 2016, Version of Record 28 November 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.025
