In this paper, an evolutionary algorithm based on an immune system activity to handle constraints is discussed for three-criteria optimisation problem of finding a set of Pareto-suboptimal task assignments in parallel systems. This approach deals with a modified genetic algorithm cooperating with a main evolutionary algorithm. An immune system activity is emulated by a modified genetic algorithm to handle constraints. Some numerical results are submitted.
CITATION STYLE
Balicki, J. (2004). Multi-criterion evolutionary algorithm with model of the immune system to handle constraints for task assignments. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 394–399). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_57
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