Abstract
This work presents the mapping of an evolutionary algorithm to the CouchDB object store. This mapping decouples the population from the evolutionary algorithm, and allows a distributed and asynchronous operation of clients written in different languages. In this paper we present initial tests which prove that the novel algorithm design still performs as an evolutionary algorithm and try to find out what are the main issues concerning it, what kind of speedups should we expect, and how all this affects the fundamentals of the evolutionary algorithm.
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Merelo-Guervós, JJ., Mora, A., Cruz, J.A., Esparcia, A.I. (2012). Pool-Based Distributed Evolutionary Algorithms Using an Object Database. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2012. Lecture Notes in Computer Science, vol 7248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29178-4_45
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DOI: https://doi.org/10.1007/978-3-642-29178-4_45
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