Abstract
This paper describes the optimization of a dividing genetic algorithm (DGA). It is used for division of road traffic networks into sub-networks of a distributed road traffic simulation. The optimization is performed by finding optimal settings of the DGA parameters using a distributed optimizing genetic algorithm (distributed OGA). Since the distributed OGA is expected to be extremely time-consuming, the paper is focused on a determination of the total time necessary for the OGA computation. It is determined, performing tests, that the OGA can be completed in range of days at least for lower numbers of OGA generations on a distributed computer consisting of nearly 100 processor cores.
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Potuzak, T. (2014). Time Requirements of Optimization of a Genetic Algorithm for Road Traffic Network Division Using a Distributed Genetic Algorithm. In: S. Hippe, Z., L. Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Issues and Challenges in Artificial Intelligence. Studies in Computational Intelligence, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-319-06883-1_13
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DOI: https://doi.org/10.1007/978-3-319-06883-1_13
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