EN
In this paper, a problem of reliability optimization for a radar system is studied. A multi-criterion optimization problem has been formulated for finding a set of Pareto-optimal task assignments. Three patial criteria have been used for evaluation of task assignment: the reliability of system, the workload of a bottleneck computer, and the cost of computers. The computer resource constraints have been respected. An evolutionary algorithm with tabu mutation has been developed for finding Pareto-optimal task assignments. This approach deals with a modified genetic algorithm cooperating with the main evolutionary algorithm. An immune system activity is emulated by a modified genetic algorithm to handle constraints.