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基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫 优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa- reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利 用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标 测试问题,通过与出众的动态环境优化算法比较,数值实验表明所提出算法解决复杂动态多目标优化问题具有较大 潜力.-:A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective optimization problems is proposed based on the functions of adaptive learning, immune memory, antibody diversity and dynamic balance maintenance, etc. In the design of the algorithm, the scheme of antibody af- finity was designed based on the locations of adaptive-neighborhood and antibody antibodies participating in evolution were selected by Pareto dominance. In order to enhance the average affinity of the population, clonal proliferation and adaptive Gaussian mutation were adopted to evolve excellent antibodies. Further- more, the average linkage method and several functions of immune memory and dynamic balance mainte- nance were used to design environmental recognition rules and the memory pool. The proposed algorithm was compared against several popular multi-objective algorithms by means of three different kinds of dy- namic multi-objective benchmark problems. Simulations show
Date : 2025-12-23 Size : 488kb User : 王飞

一种求解Job-Shop调度问题的 混合自适应变异粒子群算法 -Solving Job-Shop scheduling problem by hybrid particle swarm optimization with adaptive mutation
Date : 2025-12-23 Size : 130kb User : sunhua

实数编码遗传算法中常用变异算子的matlab实现及应用,用matlab编写了各种变异算子并进行了比较-Common mutation operators in real coded genetic algorithms matlab implementation and application, various mutation operator was written using MATLAB and compared
Date : 2025-12-23 Size : 47kb User : 黄慧君
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