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多维资源的多元优化处理应用研究
引用本文:刘天时,徐璐.多维资源的多元优化处理应用研究[J].西安石油大学学报(自然科学版),2012,27(3):95-97,1,2.
作者姓名:刘天时  徐璐
作者单位:西安石油大学计算机学院,陕西西安,710065
基金项目:陕西省自然科学基金,陕西省教育厅基金
摘    要:多维资源的多元优化处理问题是一个典型NP-Hard问题,一般通过多种算法进行解决.在禁忌算法和遗传算法的基础上构建了一个基于多策略算法的多维资源多元优化处理模型,该模型通过优化资源分配的初始结果,避免用单一算法所得结果误差大和资源分配的两极分化现象,使资源利用更加合理化和人性化,且可平衡实际分配结果与期待值之间的关系,更大程度上满足用户需求.

关 键 词:多策略算法  多维资源  多元优化

Application study of multivariate optimization of multi-dimension resource
LIU Tian-shi,XU Lu.Application study of multivariate optimization of multi-dimension resource[J].Journal of Xian Shiyou University,2012,27(3):95-97,1,2.
Authors:LIU Tian-shi  XU Lu
Institution:(College of Computer Science,Xi’an Shiyou University,Xi’an 710065,Shaanxi,China)
Abstract:The multivariate optimization of multi-dimension resource is a typical NP-Hard problem,which can normally be solved by using several algorithms.A multivariate optimization model of multi-dimension resource is presented based on taboo algorithm and genetic algorithm.It can optimize initial result of resource allocation according to multi-strategy algorithms.Compared with the results obtained using a single algorithm,the adoption of two algorithms can avoid the large error of optimization results and the polarization of resource allocation.This method also makes the utilization of resource more reasonable and humanized,and it can also balance the relationship between real allocation result and expected value.Therefore,it is capable to meet the requirements of customers in the largest degree.
Keywords:multi-strategy algorithm  multi-dimension resource  multivariate optimization
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