Optimal Design of Ad Hoc Injection Networks by Using Genetic Algorithms

Details Optimal Design of Ad Hoc Injection Networks by Using Genetic Algorithms Optimal Design of Ad Hoc Injection Networks by Using Genetic Algorithms

2007-07-20

arxiv.org/abs/0707.3030v1

Genetic and Evolutionary Computation Conference (GECCO 2007), ISBN 978-1-59593-697-4

Computer Science

Neural and Evolutionary Computing

1 page, 1 figure

Scientific paper

This work aims at optimizing injection networks, which consist in adding a set of long-range links (called bypass links) in mobile multi-hop ad hoc networks so as to improve connectivity and overcome network partitioning. To this end, we rely on small-world network properties, that comprise a high clustering coefficient and a low characteristic path length. We investigate the use of two genetic algorithms (generational and steady-state) to optimize three instances of this topology control problem and present results that show initial evidence of their capacity to solve it.

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