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A Memetic Algorithm for Communication Network Design Taking into Consideration an Existing Network

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Metaheuristics: Computer Decision-Making

Part of the book series: Applied Optimization ((APOP,volume 86))

Abstract

This paper applies a memetic algorithm (MA) to solve a communication network design problem taking into consideration existing network facilities. The link capacity assignment problem in packet-switched networks (CA problem) is studied as an example of the network design problem. In the CA problem, we focus on the case in which link cost functions are piecewise linear concave, where the unit cost of the newly-installed link capacity is smaller than that of the existing link capacity. The MA in this paper is constructed by combining a genetic algorithm (GA) with a local search operator, which is a heuristic design algorithm previously developed for the CA problem. Experimental results show that MA solves the CA problem very efficiently, and the solutions obtained by MA are better than those by GA.

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Runggeratigul, S. (2003). A Memetic Algorithm for Communication Network Design Taking into Consideration an Existing Network. In: Metaheuristics: Computer Decision-Making. Applied Optimization, vol 86. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4137-7_29

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  • DOI: https://doi.org/10.1007/978-1-4757-4137-7_29

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5403-9

  • Online ISBN: 978-1-4757-4137-7

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