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Title: Genetic algorithms with immigrants and memory schemes for dynamic shortest path routing problems in mobile ad hoc networks
Authors: Yang, S
Cheng, H
Wang, F
Keywords: Dynamic optimization problem (DOP);Dynamic shortest path routing problem (DSPRP);Genetic algorithm (GA);Immigrants scheme;Memory scheme;Mobile ad hoc network (MANET)
Issue Date: 2010
Publisher: IEEE
Citation: IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 40(1): 52 - 63, Jan 2010
Abstract: In recent years, the static shortest path (SP) problem has been well addressed using intelligent optimization techniques, e.g., artificial neural networks, genetic algorithms (GAs), particle swarm optimization, etc. However, with the advancement in wireless communications, more and more mobile wireless networks appear, e.g., mobile networks [mobile ad hoc networks (MANETs)], wireless sensor networks, etc. One of the most important characteristics in mobile wireless networks is the topology dynamics, i.e., the network topology changes over time due to energy conservation or node mobility. Therefore, the SP routing problem in MANETs turns out to be a dynamic optimization problem. In this paper, we propose to use GAs with immigrants and memory schemes to solve the dynamic SP routing problem in MANETs. We consider MANETs as target systems because they represent new-generation wireless networks. The experimental results show that these immigrants and memory-based GAs can quickly adapt to environmental changes (i.e., the network topology changes) and produce high-quality solutions after each change.
Description: This article is posted here with permission of IEEE - Copyright @ 2010 IEEE
ISSN: 1094-6977
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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