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Abjtruct This paper attempts to model capital budgeting problems by a new technique of dependentchance integer programming as well as dependent-chance multiobjective programming and goal programming. Some examples are provided to illustrate the potential applications in the area of capital budgeting. A stochastic simulation based genetic algorithm is also designed to solve both chance constrained integer programming and dependent-chance integer programming models.

DEPENDENT-CHANCE INTEGER PROGRAMMING APPLIED TO CAPITAL BUDGETING