A software platform for evolutionary computation with pluggable parallelism and quality assurance
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2011 |
| Outros Autores: | , , , , |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/1822/14526 |
Resumo: | 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. |
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A software platform for evolutionary computation with pluggable parallelism and quality assuranceEvolutionary computationOpen-source softwareParallel evolutionary AlgorithmsSoftware qualityScience & TechnologyThis 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.Fundação para a Ciência e a Tecnologia (FCT) - PTDC/EIA-EIA/115176/2009, Programa COMPETESpringerUniversidade do MinhoEvangelista, PedroGonçalves, EmanuelSobral, João Luís FerreiraPinho, JorgeMaia, PauloRocha, Miguel2011-092011-09-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/14526eng978-3-642-23959-51868-423810.1007/978-3-642-23960-1_6http://www.springerlink.com/content/mx3g3t25l17k4564/info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:20:32Zoai:repositorium.sdum.uminho.pt:1822/14526Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:15:24.597569Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
A software platform for evolutionary computation with pluggable parallelism and quality assurance |
| title |
A software platform for evolutionary computation with pluggable parallelism and quality assurance |
| spellingShingle |
A software platform for evolutionary computation with pluggable parallelism and quality assurance Evangelista, Pedro Evolutionary computation Open-source software Parallel evolutionary Algorithms Software quality Science & Technology |
| title_short |
A software platform for evolutionary computation with pluggable parallelism and quality assurance |
| title_full |
A software platform for evolutionary computation with pluggable parallelism and quality assurance |
| title_fullStr |
A software platform for evolutionary computation with pluggable parallelism and quality assurance |
| title_full_unstemmed |
A software platform for evolutionary computation with pluggable parallelism and quality assurance |
| title_sort |
A software platform for evolutionary computation with pluggable parallelism and quality assurance |
| author |
Evangelista, Pedro |
| author_facet |
Evangelista, Pedro Gonçalves, Emanuel Sobral, João Luís Ferreira Pinho, Jorge Maia, Paulo Rocha, Miguel |
| author_role |
author |
| author2 |
Gonçalves, Emanuel Sobral, João Luís Ferreira Pinho, Jorge Maia, Paulo Rocha, Miguel |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Evangelista, Pedro Gonçalves, Emanuel Sobral, João Luís Ferreira Pinho, Jorge Maia, Paulo Rocha, Miguel |
| dc.subject.por.fl_str_mv |
Evolutionary computation Open-source software Parallel evolutionary Algorithms Software quality Science & Technology |
| topic |
Evolutionary computation Open-source software Parallel evolutionary Algorithms Software quality Science & Technology |
| description |
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. |
| publishDate |
2011 |
| dc.date.none.fl_str_mv |
2011-09 2011-09-01T00:00:00Z |
| dc.type.driver.fl_str_mv |
conference paper |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/14526 |
| url |
http://hdl.handle.net/1822/14526 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
978-3-642-23959-5 1868-4238 10.1007/978-3-642-23960-1_6 http://www.springerlink.com/content/mx3g3t25l17k4564/ |
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info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Springer |
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Springer |
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