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A Hybrid Evolutionary Algorithm Used in Multi-Objective Optimization Problem Based on Differential Evolution Algorithm and NSGA-Ⅱ
Author(s): 
Pages: 58-64
Year: Issue:  6
Journal: Operations Research and Management Science

Keyword:  NSGA-Ⅱ多目标优化仿真;
Abstract: 设计了一种新颖的基于差分进化算法和NSGA-Ⅱ的混合进化算法用来解决多目标优化问题.在此算法中,根据算法的搜索情况设计相应的自适应变异算子,以便在突变操作中找到Pareto解.同时,选择操作将基于NSGA-Ⅱ快速非优超排序和拥挤机制将父代与子代的双种群进行截短,确保最优解不会丢失并保证解的多样性.三个经典测试函数的仿真结果表明,文中算法在实现多目标优化问题的两个目标(获得收敛于真实Pareto前沿...
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