山东理工大学学报（自然科学版）Issue(3)：11-14,4.
基于自适应多目标指数罚函数的 NSGA －II 算法
NSGA-II based on adaptive multi-objective exponential penalty function
摘要
Abstract
In order to solve multi-objective programming problem ,this paper extended the NSGA-II algorithm ,and constructed a new multi-objective exponential of penalty function as the fitness function of NSGA-II algorithm .It could to obtain the Pareto solutions of multi-objective program‐ming problem through dynamic updating penalty factor .Finally ,the simulation results showed that the algorithm not only converged fastly ,but also obtained more uniform Pareto frontier .关键词
多目标规划/罚函数/NSGA-II算法/自适应罚因子/约束优化Key words
multi-objective programming problem/penalty method/NSGA-II/adaptive penalty factor/constrained optimization分类
数理科学引用本文复制引用
王聪,赵文玲..基于自适应多目标指数罚函数的 NSGA －II 算法[J].山东理工大学学报（自然科学版）,2016,(3):11-14,4.基金项目
国家自然科学基金项目（11271233）；山东省自然科学基金项目 （）
