An Equilibrium Chance-Constrained Multiobjective Programming Model with Birandom Parameters and Its Application to Inventory Problem

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 Puffed Snacks to tackle the general birandom objective functions and birandom constraints.By embedding the birandom simulation technique, a modified genetic GREENS CHOCOLATE 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.

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