Tao, Zhimiao; Xu, Jiuping An equilibrium chance-constrained multiobjective programming model with birandom parameters and its application to inventory problem. (English) Zbl 1397.90354 J. Appl. Math. 2013, Article ID 382620, 12 p. (2013). Summary: 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. MSC: 90C29 Multi-objective and goal programming 90C33 Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) 90C15 Stochastic programming PDF BibTeX XML Cite \textit{Z. Tao} and \textit{J. Xu}, J. Appl. Math. 2013, Article ID 382620, 12 p. (2013; Zbl 1397.90354) Full Text: DOI