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

Multi-Objective Incomplete Probability Information Optimization Reliability Design Based on Ant Colony Algorithm
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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. 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.
机构地区 不详
出处 《Journal of Software Engineering and Applications》 2009年第5期350-353,共4页 软件工程与应用(英文)
关键词 OPTIMIZATION Reliability MULTI-OBJECTIVE PROBABILISTIC PERTURBATION Method INCOMPLETE PROBABILITY In-formation Optimization Reliability Multi-Objective Probabilistic Perturbation Method Incomplete Probability In-formation
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