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In this paper, a specialized Genetic Algorithm is proposed and applied for the solution of the Generalized Assignment Problem. Special crossover and the mutation operators called Common Element Crossover (CEX) and In-Pool Mutation (IPM) respectively has been defined by focusing on the special needs and nature of the Generalized Assignment Problem. The performance of the proposed method has been investigated in details via some test cases constructed for the multi-target tracking problems.