Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
An Introduction to Genetic Algorithms for Scientists and Engineers
An Introduction to Genetic Algorithms for Scientists and Engineers
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Genetic Algorithms
Adaptive Selection Methods for Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Practical Genetic Algorithms with CD-ROM
Practical Genetic Algorithms with CD-ROM
Optimizing Service Distributions Using a Genetic Algorithm
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
Network simulation in a fragmented mobile agent network
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
IEEE Wireless Communications
Telco 2.0: a new role and business model
IEEE Communications Magazine
Application-Level QoS Negotiation and Signaling for Advanced Multimedia Services in the IMS
IEEE Communications Magazine
Hi-index | 0.01 |
This paper deals with optimizing the distribution of services performed by agents in a mobile agent network (MAN) using a genetic algorithm. The MAN is a model which consists of agents and various network elements and nodes. Each agent is capable of performing remote software management services. In order to verify the efficiency of various service distributions on different network topologies, we developed a mobile agent network simulator. This simulator allows the user to define the services which need to be performed by agents and describe the physical network used in the process. In this paper, an approach using a genetic algorithm is proposed. This algorithm is used to generate a suboptimal distribution of services among agents which optimizes the total execution time of services on a variety of network topologies with different network parameters.