Towards solving practical problems of large solution space using a novel pattern searching hybrid evolutionary algorithm – An elastic optical network optimization case study
作者：
Highlights：
• The proposition of novel evolutionary algorithm for flow design in elastic networks.
• Evolutionary methods hybridization.
• Problem dedicated mechanisms.
• The detailed analysis of fitness function evaluation number and computation load dependence.
• Successful solving problem of large solution space.
摘要
•The proposition of novel evolutionary algorithm for flow design in elastic networks.•Evolutionary methods hybridization.•Problem dedicated mechanisms.•The detailed analysis of fitness function evaluation number and computation load dependence.•Successful solving problem of large solution space.
论文关键词：Genetic algorithm,Large solution space size,MuPPetS,Gene patterns,Linkage learning,Optimization,Elastic optical networks,Routing and spectrum allocation,Anycasting
论文评审过程：Available online 11 June 2015, Version of Record 27 June 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.05.040
