An Equilibrium Chance‐Constrained Multiobjective Programming Model with Birandom Parameters and Its Application to Inventory Problem
Zhimiao Tao and
Jiuping Xu
Journal of Applied Mathematics, 2013, vol. 2013, issue 1
Abstract:
An equilibrium chance‐constrained multiobjective programming model with birandom parameters is proposed. A type of linear model is converted into its crisp equivalent model. Then a birandom simulation technique is developed to tackle the general birandom objective functions and birandom constraints. By embedding the birandom simulation technique, a modified genetic algorithm is designed to solve the equilibrium chance‐constrained multiobjective programming model. We apply the proposed model and algorithm to a real‐world inventory problem and show the effectiveness of the model and the solution method.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2013/382620
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2013:y:2013:i:1:n:382620
Access Statistics for this article
More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().