| 改进遗传模拟退火算法在多峰值函数优化中的应用 |
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| 引用本文： | 石运序,范红梅. 改进遗传模拟退火算法在多峰值函数优化中的应用[J]. 烟台大学学报(自然科学与工程版), 2008, 21(3): 209-212 |
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| 作者姓名： | 石运序 范红梅 |
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| 作者单位： | 1. 烟台大学,机电汽车工程学院,山东,烟台,264005
2. 山东航天电子技术研究所,山东,烟台,264000 |
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| 摘 要： | 采用均匀变异算子及自适应最优保存的方法对遗传模拟退火算法进行了改进，并用MATLAB实现了改进算法中各算子的编程方法．实例证明该算法能够在多峰值函数优化中较快的收敛至最优解．
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| 关 键 词： | 遗传算法 函数优化 模拟退火 仿真 |
Application of Improved Genetic Simulated-Annealing Algorithm in Muti-Modal Function Optimization |
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| SHI Yun-xu,FAN Hong-mei. Application of Improved Genetic Simulated-Annealing Algorithm in Muti-Modal Function Optimization[J]. Journal of Yantai University(Natural Science and Engineering edirion), 2008, 21(3): 209-212 |
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| Authors: | SHI Yun-xu FAN Hong-mei |
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| Affiliation: | SHI Yun-xu , FAN Hong-mei ( 1. School of Electromechanical Automobile Engineering, Yantai University, Yantai 264005, China;2. Shandong Spaceflight Electronic Graduate School, Yantai 264000, China) |
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| Abstract: | The genetic simulated-annealing algorithm is improved through uniform mutation operators and the adaptive optimization conservation techniques, and the programming method is realized by using MATLAB. Also, function optimization problem is given to demonstrate the global optimization function of the improved algorithm. |
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| Keywords: | genetic algorithm function optimization simulated-annealing simulation |
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