Abstract
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In this paper, tabu programming for solving multiobjective optimization problems has been considered. Tabu search algorithm has been extended by using a?computer program instead of a mathematical variable. For finding Pareto-optimal solutions, the ranking procedure in the neighborhood of the current solutions has been applied. Moreover, the multiobjective optimization problem of task assignment in a distributed computer system has been studied. Finally, results of some numerical experiments have been presented.
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