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April  2012, 8(2): 493-505. doi: 10.3934/jimo.2012.8.493

Polymorphic uncertain nonlinear programming model and algorithm for maximizing the fatigue life of V-belt drive

 1 School of Mathematical Sciences and Computing Technology, Central South University, Hunan Changsha, 410083, China 2 School of Mathematics Sciences and Computing Technology, Central South University, Hunan Changsha, 410083

Received  February 2011 Revised  December 2011 Published  April 2012

In this paper, a polymorphic uncertain nonlinear programming (PUNP) model is constructed to formulate the problem of maximizing the V-belt's fatigue life according to the practical engineering design conditions. The model is converted into an equivalent interval programming only involved with interval parameters for any given degree of membership and confidence level. Then, a deterministic equivalent formulation (DEF) for the original model is obtained based on the concept of possibility degree for the order of two interval numbers. An algorithm, called sampling based algorithm, is developed to find a robust optimal design scheme for maximizing the fatigue life of the V-belt. Case study is employed to demonstrate the validity and the practicability of the constructed model and the algorithm.
Citation: Shaojun Zhang, Zhong Wan. Polymorphic uncertain nonlinear programming model and algorithm for maximizing the fatigue life of V-belt drive. Journal of Industrial & Management Optimization, 2012, 8 (2) : 493-505. doi: 10.3934/jimo.2012.8.493
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