| 一种新的模糊自适应模拟退火遗传算法 |
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| 引用本文： | 彭勇刚,罗小平,韦巍.一种新的模糊自适应模拟退火遗传算法[J].控制与决策,2009,24(6). |
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| 作者姓名： | 彭勇刚 罗小平 韦巍 |
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| 作者单位： | 1. 浙江大学,电气工程学院,杭州,310027
2. 浙江大学,城市学院,杭州,310015 |
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| 基金项目： | 国家科技支撑计划，浙江省自然科学基金 |
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| 摘 要： | 针对遗传算法收敛速度慢、容易"早熟"等缺点,结合模糊推理、模拟退火算法和自适应机制,提出一种改进的遗传算法--模糊自适应模拟退火遗传算法(FASAGA),并分析了该算法的性能和特点,实验研究表明,该算法比标准的遗传算法(SGA)具有更快的收敛速度和寻优效果.
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| 关 键 词： | 遗传算法 模糊控制 模拟退火 自适应 |
| 收稿时间： | 2008-5-29 |
| 修稿时间： | 2008-7-18 |
New fuzzy adaptive simulated annealing genetic algorithm |
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| PENG Yong-gang,LUO Xiao-ping,WEI Wei.New fuzzy adaptive simulated annealing genetic algorithm[J].Control and Decision,2009,24(6). |
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| Authors: | PENG Yong-gang LUO Xiao-ping WEI Wei |
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| Affiliation: | 1.College of Electrical Engineering;Zhejiang University;Hangzhou 310027;China;2.City College;Hangzhou 310015;China |
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| Abstract: | Due to shortcomings of genetic algorithm that its convergence speed is slow and it is often premature convergence,an improved genetic algorithm,fuzzy adaptive simulated annealing genetic algorithm(FASAGA),is presented by integrating fuzzy inference,simulated annealing algorithm and adaptive mechanism.Then the performance and the characteristic of this method are analyzed.Simulation results illustrate that FASAGA has better convergence speed and optimal results than standard genetic algorithm. |
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| Keywords: | Genetic algorithm Fuzzy control Simulated annealing Adaptive |
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