混合加速遗传算法在流域模型参数优化中的应用

基金项目: 教育部优秀骨干教师基金资助项目(教技司[2000]65-14);水利部科技创新基金项目(SCX2000-53)

详细信息

Applications of the hybrid accelerating generic algorithm to parameter optimization of basin model

1.
Dept of Mathematics and Physics, Hohai Univ, Nanjing 210098, China;
2.
College of Water Resources and Environment, Hohai Univ, Nanjing 210098, China;
3.
Water Resources and Hydropower planning and Design General Institute, MWR, Beijing 100011, China

摘要: 在实编码遗传算法中加入单纯形搜索算子和加速搜索算子,提出了混合加速遗传算法.通过实例对该法与其它一些遗传算法进行了比较.并在大坳流域模型的参数优选中得到成功的应用.结果表明,混合加速遗传算法具有直观、简便、快速及适用性强等特点,是一种既可以较大概率搜索全局最优解,又能进行局部细致搜索的优秀非线性优化方法.
- 实编码遗传算法 /
- 单纯形法 /
- 优秀个体 /
- 流域模型
Abstract: A hybrid accelerating genetic algorithm(HAGA) is presented by adding simplex searching operator and accelerate searching operator in real coding genetic algorithm.The HAGA is compared with some other genetic algorithms through some examples,and applied to the parameter optimization of the Daao basin model.The results show that this method has the features of direct,convenient,fast and good application.It is a superior non-linear optimal method which could locally search the global solution for greater probability.
- real coding genetic algorithm /
- simplex algorithm /
- superior individual /
- basin model

[1]	金菊良,丁晶.遗传算法及其在水科学中的应用[M].成都:四川大学出版社,2000.
[2]	Tsutsui S,Fujimoto Y,Ghosh A.Forking genetic algorithms:GAs with search space division schemes[J].Evolutionary computation,1997,5(1):61-80.
[3]	Michelewicz.Genetic algorithm+data structure= evolutionary programs[M].3 rd ed.New York:Springer Verlag,1996.
[4]	孙建永,申建中,徐宗本.一类自适应遗传算法的理论分析与数值模拟[J].西安交通大学学报,34(12):84-87.
[5]	李兵,蒋慰孙.混沌优化方法及其应用[J].控制理论与应用,1997,14(4):613-615.
[6]	水利部水利信息中心三队.模型参数优化方法及其应用[J].水文,1999(增刊):61-65.