Optimizing Service Distributions Using a Genetic Algorithm

Authors:
Kresimir Jurasovic;Mario Kusek
Affiliations:
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia HR-10000;Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia HR-10000
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
Year:
2008

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Genetic algorithm for optimizing service distributions

Neurocomputing

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Abstract

This paper deals with optimizing the distribution of services performed by agents in a Mobile Agent Network (MAN). The MAN model consists of agents, capable of performing remote software management services, and of various network elements and nodes used by agents during service execution. In order to verify various service distributions a Mobile Agent Network Simulator was developed. This simulator allows the user to define the services which need to be performed by the agents and describe the physical network used in the process. In this paper, an approach using a genetic algorithm which optimizes the distribution of services with the objective to reduce the network load and total execution time is presented.