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

DOI10.3934/jimo.2012.8.493zbMath1364.90183OpenAlexW2324278049MaRDI QIDQ2358878

Zhong Wan, Shao-Jun Zhang

Publication date: 16 June 2017

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2012.8.493

zbMATH Keywords

design optimizationfatigue lifepolymorphic uncertainty modelingbelt drivesapproximation-based optimal design

Mathematics Subject Classification ID

Stochastic programming (90C15) Management decision making, including multiple objectives (90B50) Applications of renewal theory (reliability, demand theory, etc.) (60K10)

Related Items (3)

OPTIMAL DECISION MAKING FOR ONLINE AND OFFLINE RETAILERS UNDER BOPS MODE ⋮ Interval solution for nonlinear programming of maximizing the fatigue life of V-belt under polymorphic uncertain environment ⋮ A polymorphic uncertain equilibrium model and its deterministic equivalent formulation for decentralized supply chain management

Uses Software

• Matlab

Cites Work

• Global optimization design method for maximizing the capacity of V-belt drive
• Sample average approximation method for stochastic complementarity problems with applications to supply chain supernetworks
• Multi-objective aggregate production planning decisions using two-phase fuzzy goal programming method
• Hybrid method for a class of stochastic bi-criteria optimization problems
• A new method for solving fully fuzzy linear programming problems
• An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty
• A novel approach in uncertain programing. I: New arithmetic and order relation for interval numbers
• Robust solution of monotone stochastic linear complementarity problems
• A class of multiobjective linear programming model with fuzzy random coefficients
• A nonlinear interval number programming method for uncertain optimization problems
• A CLASS OF MIX DESIGN PROBLEMS: FORMULATION, SOLUTION METHODS AND APPLICATIONS
• Fuzzy reasoning in decision making and optimization

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