Abstract
In this paper, an improved model of the immune system to handle constraints in multi-criteria optimization problems has been proposed. The problem that is of interest to us is the new task assignment problem for a distributed computer system. Both a workload of a bottleneck computer and the cost of machines are minimized; in contrast, a reliability of the system is maximized. Moreover, constraints related to memory limits, task assignment and computer locations are imposed on the feasible task assignment. Finally, an evolutionary algorithm based on tabu search procedure and the immune system model is proposed to provide task assignments. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Balicki, J. (2005). Immune systems in multi-criterion evolutionary algorithm for task assignments in distributed computer system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3528 LNAI, pp. 51–56). Springer Verlag. https://doi.org/10.1007/11495772_9
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