Improved GA-based Mobile Agent Routing Algorithm

【Abstract】This paper mentions an improved Genetic Algorithm(GA) used in mobile agent-based application system to calculate the best routing for mobile agent’s migration. By improving the arithmetic operators, the improved GA can optimize the performance of mobile agent-based systems. Qualities of the solution and convergence speed are evaluated in the followed examination compared with the classical GA. The result shows that the improved GA mentioned in this paper can ensure the quality of the solution, and has better convergence speed. This helps the application system run with higher efficiency. 【Key words】Genetic Algorithm(GA); mobile agent; routing algorithm; network management; emulation

[1]  Liu Ying A Delay-Constrained Multicast Routing Algorithm Based on Heuristic Genetic Algorithm , 2003 .

[2]  Dengguo Feng,et al.  The Design of an Artificial Immune System , 2006, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06).

[3]  Jean-Yves Le Boudec,et al.  An artificial immune system approach with secondary response for misbehavior detection in mobile ad hoc networks , 2005, IEEE Transactions on Neural Networks.

[4]  Symeon Papavassiliou,et al.  Mobile agent-based approach for efficient network management and resource allocation: framework and applications , 2002, IEEE J. Sel. Areas Commun..

[5]  Roman Morawek Threshold Route Optimization Algorithm for Information Retrieving Mobile Agents , 2002, CIA.