Abstract
Abstract This paper presents a genetic algorithm for chance constrained programming (CCP), including chance constrained goal programming(CCGP), chance constrained multiobjective programming(CCMOP). In order to deal with stochastic constraints, Monte Carlo simulation is employed to check the feasibility of a solution in the proposed genetic algorithm. Finally, we use some numerical examples to illustrate the effectiveness of genetic algorithm for chance constrained programming.
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