elephant56 is an open source framework for the development and execution of single and parallel Genetic Algorithms (GAs). It provides high level functionalities that can be reused by developers, who no longer need to worry about complex internal structures. In particular, it offers the possibility of distributing the GAs computation over a Hadoop MapReduce cluster of multiple computers. In this paper we describe the design and the implementation details of the framework that supports three different models for parallel GAs, namely the global model, the grid model and the island model. Moreover, we provide a complete example of use.

Elephant56: Design and implementation of a parallel genetic algorithms framework on hadoop mapreduce

SALZA, PASQUALE;FERRUCCI, Filomena;
2016-01-01

Abstract

elephant56 is an open source framework for the development and execution of single and parallel Genetic Algorithms (GAs). It provides high level functionalities that can be reused by developers, who no longer need to worry about complex internal structures. In particular, it offers the possibility of distributing the GAs computation over a Hadoop MapReduce cluster of multiple computers. In this paper we describe the design and the implementation details of the framework that supports three different models for parallel GAs, namely the global model, the grid model and the island model. Moreover, we provide a complete example of use.
2016
9781450343237
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4684681
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