Abstract
In this paper we present a library of parallel skeletons to deal with swarm intelligence metaheuristics. The library is implemented using the parallel functional language Eden, an extension of the sequential functional language Haskell. Due to the higher-order nature of functional languages, we simplify the task of writing generic code, and also the task of comparing different strategies. The paper illustrates how to develop new skeletons and presents empirical results.
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CITATION STYLE
Rubio, F., De La Encina, A., Rabanal, P., & Rodríguez, I. (2017). A parallel swarm library based on functional programming. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10305 LNCS, 3–15. https://doi.org/10.1007/978-3-319-59153-7_1
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