Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/14526
Título: | A software platform for evolutionary computation with pluggable parallelism and quality assurance |
Autor(es): | Evangelista, Pedro Gonçalves, Emanuel Sobral, João Luís Ferreira Pinho, Jorge Maia, Paulo Rocha, Miguel |
Palavras-chave: | Evolutionary computation Open-source software Parallel evolutionary Algorithms Software quality |
Data: | Set-2011 |
Editora: | Springer |
Revista: | IFIP Advances in Information and Communication Technology |
Resumo(s): | 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/14526 |
ISBN: | 978-3-642-23959-5 |
DOI: | 10.1007/978-3-642-23960-1_6 |
ISSN: | 1868-4238 |
Versão da editora: | http://www.springerlink.com/content/mx3g3t25l17k4564/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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jecoli2.pdf | Post print | 252,78 kB | Adobe PDF | Ver/Abrir |