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基于粒计算的多目标排序方法研究

Research on granular computing based multi-objective ranking method
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摘要 提出了一种基于信息系统优势类的多目标排序算法。在信息系统优劣关系的基础上,通过求取个体的优势类形成优势粒,利用Pareto解之间的不可比较特性以及优势粒的特性,采用优势粒粒度作为衡量个体优劣性的标准,并提出了基于优势粒粒度的快速排序算法。实验结果表明该算法的效率高,而且能体现对象的优势度,能显著提高多目标优化算法的效率。 The paper puts forward Dominance Granule multi-objective Sorting Algorithm(DGSA).The dominance granule can be obtained by the dominance relation in the information system and granulation computing.It is the basis of multi-objective sorting and fitness assignment.Therefore,the dominance granule multi-objective sorting algorithm is designed and reduces the computational complexity highly.The test function experiment results have shown that the proposed method has higher searching efficiency.
出处 《计算机工程与应用》 CSCD 北大核心 2010年第9期42-45,共4页 Computer Engineering and Applications
基金 国家自然科学基金(No.60843006) 山西省自然科学青年基金(No.2006021016)~~
关键词 多目标排序 粒计算 信息系统 优势粒 粒度 multi-objective ranking granular computing information system dominance granule granularity
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