An equilibrium chance-constrained multiobjective programming model with birandom parameters is proposed.A type of linear model is converted into its crisp glitter foam vellen action 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 mel axolotl a real-world inventory problem and show the effectiveness of the model and the solution method.