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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
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基于免疫禁忌混合算法的多目标最优潮流计算[PDF].-Multi-objective Optimal Power Flow Calculation Based on
Immune/Tabu Search Hybrid Algorithm
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This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data
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基于matlab的免疫进化算法 详细讲解了免疫算法的实现-Explain in detail the implementation of the immune algorithm based on the matlab immune evolutionary algorithm
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