Multi-Objective Incomplete Probability Information Optimization Reliability Design Based on Ant Colony Algorithm

作     者：Qiang ZHANG Shouju LI Ying TIAN 

作者机构：Liaoning Technical University Fuxin China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Fuxin Miming Company 

出 版 物：《Journal of Software Engineering and Applications》 (软件工程与应用（英文）)

年 卷 期：2009年第2卷第5期

页      码：350-353页

摘      要：In view of incomplete probability information multi-objective question, it used probabilistic perturbation method and Edgeworth series technique to study reliability optimization design. The first four moments of basic random variables are known under condition. It used the Ant Colony Algorithm to design cutting head roadheader, the optimized result indicated that cutting head load fluctuation and compared energy consumption were reduced obviously at the same time. This result enhanced roadheader operational reliability and energy effectively.

主 题 词：Optimization Reliability Multi-Objective Probabilistic Perturbation Method Incomplete Probability In-formation 

学科分类：07[理学] 0701[理学-数学类] 070101[070101] 

D　O　I：10.4236/jsea.2009.25046

馆 藏 号：203458227...