A software platform for evolutionary computation with pluggable parallelism and...

• Autor(es): Evangelista, Pedro ; Gonçalves, Emanuel ; Sobral, João Luis ; Pinho, Jorge ; Maia, Paulo ; Rocha, Miguel
• Data: 2011
• Identificador Persistente: http://hdl.handle.net/1822/14526
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Evolutionary computation; Open-source software; Parallel evolutionary Algorithms; Software quality
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

This paper proposes the Java Evolutionary Computation Library (JECoLi), an adaptable, flexible, extensible and reliable software framework implementing metaheuristic optimization algorithms, using the Java programming language. JECoLi aims to offer a solution suited for the integration of Evolutionary Computation (EC)-based approaches in larger applications, and for the rapid and efficient benchmarking of EC algorithms in specific problems. Its main contributions are (i) the implementation of pluggable parallelization modules, independent from the EC algorithms, allowing the programs to adapt to the available hardware resources in a transparent way, without changing the base code; (ii) a flexible platform for software quality assurance that allows creating tests for the implemented features and for user-defined extensions. The library is freely available as an open-source project.