重庆大学学报：自然科学版2012，Vol.35Issue(8)：92-100,9.
集成化服务链多目标全局优化模型与算法
Research on multi-objective global optimization model and algorithm of integrated service chain
摘要
Abstract
Based on the network model of integrated service chains and evaluation index of candidate service resources, optimizing integrated service chain can be formally defined as a multi-objective global optimization model with multiple constraints. We propose a multi-objective global optimization algorithm based on improved multi-objective genetic algorithms. The proposed algorithm uses a distance-based nonparametric population diversity measurement operator, and diversity control is involved in the process of adaptive value assignment, elitist maintaining and selection operation. The proposed algorithm can optimize multiple objectives at the same time on the premise of meeting the constraints, and finally get a constrained Pareto optimum solution set which satisfy decision makers＇ prefers. The simulation experiments indicate that the proposed algorithms can achieve global convergence and has better solution quality and distribution, which efficiently solve the problem of integrated service chain multi-objective global optimization.关键词
集成化服务链/多目标优化/全局优化/多目标遗传算法Key words
integrated service chain/multi-objective optimization/global optimization/genetic algorithms分类
机械制造引用本文复制引用
吴映波,王旭,刘昕..集成化服务链多目标全局优化模型与算法[J].重庆大学学报：自然科学版,2012,35(8):92-100,9.基金项目
国家高技术研究发展计划（863计划）资助项目 （）
重庆市重大科技攻关计划资助项目 （）
重庆市科技攻关计划资助项目 （）
