基于复合基因编码的渠系水资源智能优化研究  

Solving Optimal Water Distribution by Inlelligence with Comblex Gene

作　　者：高伟增[1] 余周[1] 汪志农[2] 

机构地区：[1]河南科技学院,河南新乡430000 [2]西北农林科技大学,陕西杨凌712100

出　　处：《灌溉排水学报》2011年第5期111-115,共5页Journal of Irrigation and Drainage

基　　金：国家863计划项目(2003AA209040)

摘　　要：采用和人们处理问题思路一致的十进制复合编码,基因中包含渠道的编号及流量信息,使优化信息更加完备,更加符合实际。针对遗传算法的某些局限性,优化时采用嵌套遗传算法加自由搜索的复合智能算法,对各个渠道流量调节采用自由搜索算法,使各渠道的流量在其允许的范围内调节到最佳值,从理论上实现了渠道弃水为0的最优值。As the traditional gene coding can＇t reflecting the technique parameter of canal,the complex gene coding is introduced.The genome include several codes such as the number of canal,the discharge of canal,the level of canal etc.This method can give more scientific information for decision-making.It also make the result come close more to practice.Considering GA sinking into the partial solution easily,free search algorithms is introduced.making every canal close at the same time,decreasing the discarding water of canal,reducing the time of manual work.

关 键 词：遗传算法 自由搜索算法 优化配置模型 

分 类 号：S274.2[农业科学—农业水土工程]