| 基于非劣排序的多目标优化免疫遗传算法 |
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| 引用本文： | 郭志刚,邹书蓉.基于非劣排序的多目标优化免疫遗传算法[J].成都信息工程学院学报,2012,27(2):136-141. |
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| 作者姓名： | 郭志刚 邹书蓉 |
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| 作者单位： | 成都信息工程学院计算机学院,四川成都,610225 |
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| 摘 要： | 提出一种基于非劣排序的多目标优化免疫遗传算法。算法基于非劣排序对种群进行分类来评价个体的价值,在选择操作中引入个体浓度保持种群多样性。采用免疫克隆操作为产生新种群和算法实现全局搜索提供了基础,采用遗传种群与父代群体锦标赛竞争的方式保留最优解。仿真实验结果表明:算法在收敛性和分布性方面要优于NSGA-II算法。
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| 关 键 词： | 计算机应用 智能工程 非劣排序 多目标 免疫遗传算法 浓度 免疫克隆 |
Immune Genetic Multi-objective Optimization Algorithms Based on Non-dominated Sorting |
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| GUO Zhi-gang
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ZOU Shu-rong.Immune Genetic Multi-objective Optimization Algorithms Based on Non-dominated Sorting[J].Journal of Chengdu University of Information Technology,2012,27(2):136-141. |
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| Authors: | GUO Zhi-gang ZOU Shu-rong |
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| Institution: | (school of Computer information and technology,Chengdu University of Information Technology,Chengdu 610225,China) |
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| Abstract: | The paper represented An Immune Genetic Multi-objective Optimization Algorithms based on non-dominated sorting.Based on Immune Genetic Algorithm, the algorithm evaluated individuals fitting values in current population using Pareto sorting method,used concentration as selection criteria to keep population good diversity.This algorithm also used the immune clone operation to generate new population and implemented global searching process.Then a tournament selection between parent and genetic population was adopted to obtain optimal solutions.The simulation results showed that the algorithm was better than NSGA-II algorithm in convergence and distribution capabilities. |
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| Keywords: | computer application intelligent engineering non-dominated sorting multi-object immune genetic algorithm concentration immune clone |
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