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

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DOI: 10.4236/jsea.2009.25046    4,676 Downloads   8,051 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Q. ZHANG, S. LI and Y. TIAN, "Multi-Objective Incomplete Probability Information Optimization Reliability Design Based on Ant Colony Algorithm," Journal of Software Engineering and Applications, Vol. 2 No. 5, 2009, pp. 350-353. doi: 10.4236/jsea.2009.25046.

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