摘要
应用现有典型算法求解灌溉制度优化设计模型时,由于各种算法本身存在着不足,可被接受的模型最优解往往不能够被成功搜索到。自由搜索(Free Search,FS)是一种新的优化算法,对其进行了适当改进,针对灌溉制度优化设计模型实例,在不同的可供水量下,应用FS算法对该模型进行求解。结果表明,FS算法表现出良好的稳健性和收敛性;与以往的动态规划逐次逼近法(DPSA)、遗传算法(GA)及混沌算法(CA)对该实例的寻优结果相比,FS算法提高了寻优精度。FS算法原理简单,操作简便,是一种较好的优化灌溉制度的新方法。
When using the existing typical algorithm to solve the model of optimizing irrigation schedule, with each algorithm itself having the insufficiency, the acceptable optimal solution of the model is usually not able to search successfully. The free search （FS） is a novel optimization algorithm. As an illustrative case, the article modifies it properly and applies it to solve the model of optimizing irrigation schedule at the different water supplies. The results obtained suggest that FS has favorable stability and convergence and can give a more accurate solution to the dynamic programming successive approximation （DPSA）, genetic algorithm （GA） and chaos algorithm （CA）.FS has clear regulation and convenient operation, and is a better method for optimizing irrigation schedule.
出处
《水科学进展》
EI
CAS
CSCD
北大核心
2008年第5期736-741,共6页
Advances in Water Science
基金
国家自然科学基金资助项目(50309003)~~
关键词
非充分灌溉
灌溉制度
优化
自由搜索
deficit irrigation
irrigation schedule
optimization
free search
