| 混沌遗传模拟退火组合算法性能研究 |
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| 引用本文： | 高延峰,许瑛.混沌遗传模拟退火组合算法性能研究[J].计算机应用与软件,2008,25(11). |
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| 作者姓名： | 高延峰 许瑛 |
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| 作者单位： | 南昌航空大学航空与机械工程学院,江西,南昌330063 |
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| 摘 要： | 提出了一种混沌遗传模拟退火组合算法.为了提高算法的收敛速度,对遗传算法的适应度进行了拉伸操作,并且对模拟退火算法进行了改进,使其搜索范围随退火温度的降低而缩小.最后通过对4个典型函数的模拟,对算法的性能进行了研究.实验结果表明,该算法能明显改善传统遗传算法的性能,具有较强的全局搜索能力和较快的收敛速度.
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| 关 键 词： | 遗传算法 混沌优化 模拟退火算法 |
STUDY ON THE PERFORMANCE OF CHAOS GENETIC SIMULATED ANNEALING HYBRID ALGORITHM |
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| Gao Yanfeng,Xu Ying.STUDY ON THE PERFORMANCE OF CHAOS GENETIC SIMULATED ANNEALING HYBRID ALGORITHM[J].Computer Applications and Software,2008,25(11). |
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| Authors: | Gao Yanfeng Xu Ying |
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| Affiliation: | Gao Yanfeng Xu Ying (College of Aeronautic , Mechanical Engineering,Nanchang Aeronautic University,Nanchang 330063,Jiangxi,China) |
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| Abstract: | A chaos genetic simulated annealing hybrid algorithm is presented.To improve the convergence speed,the fitness of the genetic algorithm(GA) is extended.The simulated annealing algorithm is improved,so that the searching range contracts with the falling of tempera- ture.The performance of the hybrid algorithm is analyzed through the simulation of four typical test functions.The result indicates that the algo- rithm can remarkably improve the performance of GA,and it has stronge global searching capability an... |
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| Keywords: | Genetic algorithm Chaos optimization Simulated annealing algorithm |
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