| 基于模拟退火选择的动态免疫算法及其应用 |
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| 引用本文： | 钱淑渠,武慧虹.基于模拟退火选择的动态免疫算法及其应用[J].计算机工程与应用,2011,47(36):57-60. |
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| 作者姓名： | 钱淑渠 武慧虹 |
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| 作者单位： | 安顺学院数学与计算机科学系,贵州安顺,561000 |
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| 基金项目： | 贵州省自然科学基金(No.20090074) |
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| 摘 要： | 借鉴人工免疫系统的记忆、动态识别等功能及模拟退火选择理论,提出一种适用于求解动态环境优化问题的动态免疫算法(DIASA),并将其用于高维动态约束背包问题。算法设计包括:(1)抗体的亲和力随群体进化而变化;(2)可行抗体被克隆和动态突变,突变概率与抗体浓度相关,而非可行抗体按价值密度贪婪修正;(3)新环境初始群经环境识别算子按不同方式生成,相似环境初始群由记忆细胞及随机抗体产生。数值实验中,选取著名的动态进化算法(ETGA)和动态免疫遗传算法(ISGA),通过不同难度的高维动态约束背包问题进行仿真比较,结果表明:DIASA较算法ISGA和ETGA对不同问题在各环境内表现较强的优化性能,群体中抗体多样性保持较好,能快速跟踪不同环境的最优值,收敛性强。
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| 关 键 词： | 动态环境 动态背包问题 免疫算法 模拟退火选择 群体多样性 |
| 修稿时间： | |
Dynamic immune algorithm based on simulated annealing selection and its application |
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| QLAN Shuqu,WU Huihong.Dynamic immune algorithm based on simulated annealing selection and its application[J].Computer Engineering and Applications,2011,47(36):57-60. |
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| Authors: | QLAN Shuqu WU Huihong |
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| Affiliation: | QIAN Shuqu,WU Huihong.Department of Mathematics and Computer Sciences,Anshun College,Anshun,Guizhou 561000,China |
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| Abstract: | A novel dynamic immune optimization algorithm(DIASA),based on simulated annealing selection theory,adaptive memory and the functions of dynamic recognition of immune system,is proposed to solve the high-dimensional dynamic knapsack problem with constraints.The keys of algorithm are included:(1)The affinity of antibody is designed based on the performance of current population(.2)The infeasible antibodies are repaired by the increasing sorting of price consistency of antibodies gene,while the feasible antibo... |
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| Keywords: | dynamic environments dynamic knapsack problem immune algorithms simulated annealing selection population diversity |
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