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模拟退火遗传算法的性能评价
Performance Appraisement of the Simulated Annealing Genetic Algorithms
【摘要】 遗传算法和模拟退火算法的结合对遗传算法的性能有很大的改进.将遗传算法与模拟退火算法相结合,提出了模拟退火遗传算法.研究结果表明,该算法能较好地克服传统遗传算法存在的不足,并在进化速度和全局寻优能力方面有较大的突破.
【Abstract】 The combination of genetic algorithms and the simulated anneal algorithms will improve the performance of genetic algorithms. Hence, we combined the simulated annealing and genetic algorithms and the simulated annealing genetic algorithms was proposed. The study indicates that this new algorithms can overcome the traditional disadvantages. It also has many improvements on the evolution speed and seeking the excellent result abilities.
【关键词】 遗传算法;
模拟退火算法;
模拟退火遗传算法;
【Key words】 genetic algorithms; simulated annealing algorithms; the simulated annealing genetic algorithms;
【Key words】 genetic algorithms; simulated annealing algorithms; the simulated annealing genetic algorithms;
【基金】 西南科技大学青年预研基金资助项目(05ZK023080)
- 【文献出处】 湖南城市学院学报 ,Journal of Hunan city University , 编辑部邮箱 ,2003年03期
- 【分类号】O224
- 【被引频次】29
- 【下载频次】656