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  • 标题:Multi-Objective Incomplete Probability Information Optimization Reliability Design Based on Ant Colony Algorithm
  • 本地全文:下载
  • 作者:Qiang ZHANG ; Shouju LI ; Ying TIAN
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2009
  • 卷号:2
  • 期号:5
  • 页码:350-353
  • DOI:10.4236/jsea.2009.25046
  • 出版社:Scientific Research Publishing
  • 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.
  • 关键词:Optimization Reliability; Multi-Objective; Probabilistic Perturbation Method; Incomplete Probability In-formation
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