中国机械工程Issue(16)：2208-2214,7.DOI:10.3969/j.issn.1004132X.2015.16.014
基于网格支配的微型多目标遗传算法
Micro Multi-objective Genetic Algorithm Based on Grid Domination
摘要
Abstract
A micro multi-objective genetic algorithm was proposed herein based on grid domination to solve multi-objective optimization problems and it had good convergence and high computational ef-ficiency.The method combined with the concept of the grid dominance and micro multi-objective ge-netic algorithm.In each generation,the grid value,the grid crowding distance and grid coordinate point distance of every individual were calculated,respectively.Then elite individuals were selected to do crossover and mutation operators based on the grid domination sorting and grid selection strate-gies.The individuals were iterated toward the Pareto front and the Pareto optimal solutions were ob-tained.Finally,the proposed algorithm was verified effectively through four test functions and two practical engineering problems.关键词
多目标遗传算法/网格支配/微型种群/Pareto 最优解/耐撞性Key words
multi-objective genetic algorithm/grid domination/micro population/Pareto optimal solution/crashworthiness分类
信息技术与安全科学引用本文复制引用
符纯明,姜潮,刘桂萍,邓善良..基于网格支配的微型多目标遗传算法[J].中国机械工程,2015,(16):2208-2214,7.基金项目
国家自然科学基金资助项目(11172096) （11172096）
国家自然科学基金优秀青年基金资助项目(51222502) （51222502）
教育部新世纪优秀人才支持计划资助项目(NCET-11-0124) （NCET-11-0124）
湖南省杰出青年基金资助项目(14JJ1016) （14JJ1016）
