Articles

Fuzzy Muli-objective Reliability Optimization of Plow Based on Genetic Algorithms

  • ZHANG Qiang
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  • College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, Liaoning Province, China; China National Coal Mining Equipment Co. Ltd., Beijing 100011, China; State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, Liaoning Province, China

Received date: 2011-07-11

  Revised date: 2011-12-07

  Online published: 2012-01-08

Abstract

For a reliable multi-objective optimization design of the prow system, the conventional optimization method can not treat cases with mutually contradictory attributes. To overcome this difficulty, this paper proposes a multi-objective fuzzy reliability optimization decision method based on genetic algorithms and non-probability distribution information. The special features of the fuzzy set membership function are used to reflect the relatively important degree of the objective function and the probabilistic perturbation method and Edgeworth series technique are used to transform the incomplete probability information into the standardized normal distribution function, then a simple target model is established for each goal coordinated degree, and the conventional optimization method is used to obtain the multi-objective optimization satisfactory solution. Finally, a plow example is given to verify this method.

Cite this article

ZHANG Qiang . Fuzzy Muli-objective Reliability Optimization of Plow Based on Genetic Algorithms[J]. Science & Technology Review, 2012 , 30(1) : 53 -55 . DOI: 10.3981/j.issn.1000-7857.2012.01.009

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