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GECCO
2007
Springer

A doubly distributed genetic algorithm for network coding

9 years 6 months ago
A doubly distributed genetic algorithm for network coding
We present a genetic algorithm which is distributed in two novel ways: along genotype and temporal axes. Our algorithm first distributes, for every member of the population, a subset of the genotype to each network node, rather than a subset of the population to each. This genotype distribution is shown to offer a significant gain in running time. Then, for efficient use of the computational resources in the network, our algorithm divides the candidate solutions into pipelined sets and thus the distribution is in the temporal domain, rather that in the spatial domain. This temporal distribution may lead to temporal inconsistency in selection and replacement, however our experiments yield better efficiency in terms of the time to convergence without incurring significant penalties. Categories and Subject Descriptors: C.2.1 [ComputerCommunication Networks]: Network Architecture and Design General Terms: Algorithms
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GECCO
Authors Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard
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