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

Qiang ZHANG, Shouju LI, Ying TIAN

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DOI: 10.4236/jsea.2009.25046                

Abstract

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.

Keywords

Optimization Reliability, Multi-Objective, Probabilistic Perturbation Method, Incomplete Probability In-formation

Conflicts of Interest

The authors declare no conflicts of interest.

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