多维多目标模糊优选动态规划及其在资源分配中的应用  

Fuzzy Optimizing Multi-dimensional Multi-objective Dynamic Programming and Its Application for resources Allocation

作　　者：纪崑[1] 郑文瑞[2] 

机构地区：[1]集美大学理学院,福建厦门361021 [2]吉林大学数学学院,吉林长春130012

出　　处：《模糊系统与数学》2006年第2期103-108,共6页Fuzzy Systems and Mathematics

摘　　要：将目前所研究的一维模糊优选动态规划扩展为多维模糊优选动态规划。在求解多维多阶段问题时,采用遗传算法与模糊动态规划法相结合进行求解,保证了优化变量的全局最优性。在其中权系数的处理中,本文采用了主客观综合评定的方法,保证了数据的合理性及准确性。并且文中用此方法解决了多维多阶段多目标的资源分配问题。The author of this article tries to combine Fuzzy Optimization Programming with dynamic planning optima theory. The theme expand the theory of one dimensional fuzzy dynamic planning to multi-dimension and built the model. When solving the multi-stage decision problem, this theme adopt GA and combine with fuzzy dynamic programming to ensure the integrated optima. This theme adopts the method of synthesizing the subjective and objective weighted method. This kind of method synthesized the characters of the reasonable and precision. We have testified the practicability and efficiency of the model. And this method can provide a new way to research and practice the resources allocation.

关 键 词：模糊优化 多维动态规划 资源分配 

分 类 号：O159[理学—数学]