摘要
为替代传统低效的经验试算法,提出试验遗传算法(EGA)以解决灌溉排水工程设计中的非线性优化问题。算例表明,EGA能有效解决灌溉渠道断面和排水沟(管)道的优化设计问题,且具有计算效率高、解的精度好等优点,在农业灌排系统优化设计中具有较高的实用性。
In order to improve the efficiency and precision of the traditional empirical methods, Experimental Genetic Algorithm （EGA） is applied to solve the problem of non-linear optimization of canal and drainage design. The results of several calculation examples show that EGA is an effective algorithm in solving the optimization problem of canal and drainage section design with good properties such as high efficiency, high precision and applicable to most of the complex optimization problems in irrigation and drainage system design.
出处
《中国农村水利水电》
北大核心
2005年第9期63-65,共3页
China Rural Water and Hydropower
基金
国家自然基金项目(70471090
70425001)
国家"十五"科技攻关项目(2004BA608B-02-02)
关键词
灌溉渠道
排水沟道
非线性优化
试验遗传算法
irrigation canal
drainage channel
non-linear optimizatiom experimental genetic algorithm
