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大洪水算法在平面选址问题中的应用
引用本文:盛虹平,马良.大洪水算法在平面选址问题中的应用[J].数学的实践与认识,2011,41(15).
作者姓名:盛虹平  马良
作者单位:1. 上海理工大学管理学院,上海200093;杭州师范大学钱江学院,杭州310012
2. 上海理工大学管理学院,上海,200093
基金项目:国家自然科学基金资助(70871081); 上海市重点学科建设资助(S30504)
摘    要:大洪水算法是通过模拟洪水上涨过程来进行全局寻优的启发式算法.针对连续优化问题,基于三种不同的邻域搜索策略对其进行改进,并针对一类平面选址问题进行应用测试.仿真结果表明,大洪水算法是一类简单高效的算法,可用于连续优化问题的求解.

关 键 词:大洪水算法  混沌  邻域搜索  平面选址  约束

Application of Great Deluge Algorithm in Planar Location Problems
SHENG Hong-ping,MA Liang.Application of Great Deluge Algorithm in Planar Location Problems[J].Mathematics in Practice and Theory,2011,41(15).
Authors:SHENG Hong-ping  MA Liang
Institution:SHENG Hong-ping~(1,2),MA Liang~1 (1.School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China) (2.Qianjiang College,Hangzhou Normal University,Hangzhou 310012,China)
Abstract:Great deluge algorithm is one of heuristics by simulating the process of flood rising to search global optimization.Based on three different types of neighborhood search method, this paper applied great deluge algorithm to solve some planar location problems.Simulations show that great deluge algorithm is simple and effective for continuous optimization problems.
Keywords:great deluge algorithm  chaos  neighborhood search  planar location  constrained  
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