| 模拟退火-改进遗传算法及其应用 |
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| 引用本文： | 李军红,周天瑞,郑荣. 模拟退火-改进遗传算法及其应用[J]. 南昌大学学报(理科版), 2005, 29(4): 387-390 |
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| 作者姓名： | 李军红 周天瑞 郑荣 |
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| 作者单位： | 南昌大学机电工程学院,江西,南昌,330029;南昌大学机电工程学院,江西,南昌,330029;南昌大学机电工程学院,江西,南昌,330029 |
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| 摘 要： | 论述了遗传算法在全局搜索中的优势和模拟退火算法在局部寻优中的能力，进而提出了两者相结合的算法：模拟退火一改进遗传算法。通过比较，说明模拟退火一改时遗传算法的优化性能更好、更完善，并在实际应用中取得了良好的应用效果。
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| 关 键 词： | 遗传算法 模拟退火算法 模拟退火-改时遗传算法 |
| 文章编号： | 1006-0464（2005）04-0387-04 |
| 收稿时间： | 2005-03-11 |
| 修稿时间： | 2005-03-11 |
SIMULATED ANNEALING-IMPROVED GENETIC AIGORTHM AND THE APPLICATION |
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| LI Jun-hong,ZHOU Tian-rui,Zheng Rong. SIMULATED ANNEALING-IMPROVED GENETIC AIGORTHM AND THE APPLICATION[J]. Journal of Nanchang University(Natural Science), 2005, 29(4): 387-390 |
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| Authors: | LI Jun-hong ZHOU Tian-rui Zheng Rong |
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| Abstract: | The genetic algorithm has the advantage of optimization in the overall situation.And,the simulated annealing algorith can be capable of optimiaing in part .So the combined algorithm was brought forward:simulated annealing-improved genetic algorithm.Through comparing with based gentic algorithm and improved genetic algorithm,it was proved rhat the optimized capability of simulated annealing-improved genetic algorthm was better and more perfect.We have successfully applied the algorithm in practice. |
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| Keywords: | genetic algorithm simulated annealing algorithm simulated annealing - improved genetic algorthm |
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