多目标鲸鱼优化算法matlab代码
资源内容介绍
多目标鲸鱼优化算法（Non-Dominated Sorting Whale Optimization Algorithm，NSWOA）是一种基于鲸鱼优化算法（Whale Optimization Algorithm，WOA）的改进算法，专门用于解决多目标优化问题。多目标鲸鱼优化算法在原有WOA的基础上引入了非支配排序、拥挤度计算和精英保留策略等概念，以提高算法处理多目标问题的性能。WOA模拟座头鲸捕食行为，通过收缩包围、螺旋更新和随机搜索三个阶段来不断更新个体位置。然而，原始的WOA无法直接处理多目标优化问题。为了将WOA应用于多目标优化，NSWOA引入了非支配排序的概念。该排序方法将种群中的个体按照其适应度进行分级，支配等级越低的个体越优秀。通过这种方式，算法能够有效筛选出优秀的非支配个体，引导种群进化。 0.0000000e+00 4.0728833e-01 9.4103639e-01 1.0000000e+00 1.0000000e+00 5.8570944e-01 4.8713172e-01 2.2876928e-01 1.0000000e+00 6.7238549e-01 1.0000000e+00 1.0000000e+00 7.5830667e-01 0.0000000e+00 9.0640764e-01 8.7302237e-01 3.3811805e-02 1.0000000e+00 9.0626235e-01 2.3355491e-01 1.0000000e+00 5.8988661e-01 6.9251230e-01 7.3883497e-01 4.9657826e-01 7.0291489e-01 3.7762065e-01 1.0000000e+00 9.8055139e-01 1.0000000e+00 0.0000000e+00 1.0000000e+00 1.0000000e+00 8.5769790e-01 0.0000000e+00 1.0452952e-03 1.0935528e-03 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00 5.8622357e-03 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