| 基于六模糊控制器的自适应遗传算法 |
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| 引用本文： | 朱力立,张焕春,经亚枝. 基于六模糊控制器的自适应遗传算法[J]. 南京航空航天大学学报(英文版), 2003, 20(2): 230-235 |
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| 作者姓名： | 朱力立 张焕春 经亚枝 |
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| 作者单位： | 南京航空航天大学自动化学院,南京,210016,中国 |
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| 摘 要： | 遗传算法的性能主要取决于算法对满意解的搜索和优化的能力。本提出的自适应遗传算法可以自动均衡搜索和优化关系。该算法采用六个模糊控制器对符号编码遗传算法的遗传操作实施动态参数控制。对旅行商(TSP)问题的求解结果表明该算法在解决类似于TSP的组合优化问题时具有比标准遗传算法更好的性能。
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| 关 键 词： | 六模糊控制器 自适应遗传算法 旅行商问题 组合优化 动态参数控制 |
ADAPTIVE GENETIC ALGORITHM BASED ON SIX FUZZY LOGIC CONTROLLERS |
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| ZHU Li-li,ZHANG Huan-chun,JING Ya-zhi. ADAPTIVE GENETIC ALGORITHM BASED ON SIX FUZZY LOGIC CONTROLLERS[J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2003, 20(2): 230-235 |
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| Authors: | ZHU Li-li ZHANG Huan-chun JING Ya-zhi |
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| Abstract: | The performance of genetic algorithm(GA) is determined by the capability of search and optimization for satisfactory solutions. The new adaptive genetic algorithm(AGA) is built for inducing suitable search and optimization relationship. The use of six fuzzy logic controllers(6FLCs) is proposed for dynamic control genetic operating parameters of a symbolic-coded GA. This paper uses AGA based on 6FLCs to deal with the travelling salesman problem (TSP). Experimental results show that AGA based on 6FLCs is more efficient than a standard GA in solving combinatorial optimization problems similar to TSP. |
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| Keywords: | adaptive genetic algorithm fuzzy controller dynamic parameters control TSP |
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