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SA法在求解非线性约束优化问题中的应用
引用本文:崔永利,魏君.SA法在求解非线性约束优化问题中的应用[J].大连大学学报,2003,24(6):5-8.
作者姓名:崔永利  魏君
作者单位:1. 大连市供水公司,辽宁,大连,116001
2. 大连石化公司设备所,辽宁,大连,116001
摘    要:传统数学规划方法如梯度法等在解决非线性规划问题时,往往会由于问题本身的多峰性而落入局部最优解中,得不到全局最优解,这使得传统方法在解决非线性规划问题中受到很大的限制.80年代初,S.Kirkpatrick提出了模拟退火算法(Simutaneous Annealing),该方法在解决复杂的组合优化问题中可以得出很好的结果.它是一种仿金属退火物理过程的随机算法,在理想状态下可得出全局最优解,并能以一定的概率跳出局部最优解所在的区域.本文我们将探讨SA法在求解非线性约束优化问题中的应用.

关 键 词:模拟退火算法  全局最优  连续变量
文章编号:1008-2395(2003)06-0005-04
修稿时间:2003年3月10日

Application of SA algorithm to solving problem of non-linear constraint optimization
CUI Yong-li,WEI Jun.Application of SA algorithm to solving problem of non-linear constraint optimization[J].Journal of Dalian University,2003,24(6):5-8.
Authors:CUI Yong-li  WEI Jun
Abstract:Traditional mathematics programming methods met a olt of limitations in solving non-linear programming question because that question itself has multiple peak values. These methods such as grads algorithm always can figure out local optimization solution but not global optimization. In the beginning of 80's, S. Kirkpatrick presented Simultaneous Annealing algorithm. SA is a random algorithm of simulating metal annealing physical process and can get global optimization solution umder the ideal status, it can also jump out local optimization solution area in certain probability, so it is always used to solve complex compounding and optimization problem. In this paper, we will study SA algorithm in order to solve problem of non-linear constraint optimization.
Keywords:simultaneous annealing  golbal optimization  continuous variable
本文献已被 CNKI 维普 万方数据 等数据库收录!
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