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基于HGA的经费分配多目标优化模型求解
引用本文:蒋伟进,许宇胜,孙星明. 基于HGA的经费分配多目标优化模型求解[J]. 化工自动化及仪表, 2004, 31(2): 10-14
作者姓名:蒋伟进  许宇胜  孙星明
作者单位:株洲工学院,计算机系,湖南,株洲,412008;北京工业大学,机电学院,北京,100022
基金项目:国家自然科学基金资助(60373062),湖南省杰出中青年专家科技基金资助(02JJYB012),教育部重点科研基金资助(02A056)
摘    要:为探索新的经费分配方法和管理模式,建立一种新的多目标非线性规划优化模型,提出一种先进的基于正交试验的新型混合遗传算法来求解该问题。对求解过程中的选择算子、交叉算子和变异算子等进行正交试验,得到的种群个体明显优于基本遗传算法的个体,仿真结果表明,该算法收敛寻优能力强,并能产生很多次优解,是一种高效的方法。

关 键 词:混合遗传算法  分配优化模型  多目标问题  正交试验
文章编号:1000-3932(2004)(02)-0010-05
修稿时间:2004-01-30

Research on the Optimization of the Equipment Fund's Assignment Model Based on HGA
JIANG Wei-jin,XU Yu-sheng,SUN Xing-ming. Research on the Optimization of the Equipment Fund's Assignment Model Based on HGA[J]. Control and Instruments In Chemical Industry, 2004, 31(2): 10-14
Authors:JIANG Wei-jin  XU Yu-sheng  SUN Xing-ming
Affiliation:JIANG Wei-jin~1,XU Yu-sheng~2,SUN Xing-ming~1
Abstract:This paper presented an assignment model equipment fund's management,and its resolving method based on genetic algorithm.A new hybrid genetic algorithm is put forward,which covers merits of GA and orthogonal design method.Then the modified "Elitist Model",the "self-crossover operator" and "increase & decrease mutation operator" are designed.It discusses the coding method,fitness function and initial population which are fit for the problem.The method of applying Genetic Algorithms is also discussed.
Keywords:hybrid genetic algorithms  assignment model  multi-goal problem  orthogonal design method
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