Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/16868

TitleImplementing metaheuristic optimization algorithms with JECoLi
Author(s)Evangelista, Pedro
Maia, Paulo
Rocha, Miguel
Issue date30-Nov-2009
PublisherIEEE
JournalInternational Conference on Intelligent Systems Design and Applications
Abstract(s)This work proposes JECoLi - a novel Java-based library for the implementation of metaheuristic optimization algorithms with a focus on Genetic and Evolutionary Computation based methods. The library was developed based on the principles of flexibility, usability, adaptability, modularity, extensibility, transparency, scalability, robustness and computational efficiency. The project is opensource, so JECoLi is made available under the GPL license, together with extensive documentation and examples, all included in a community Wiki-based web site (http://darwin.di.uminho.pt/jecoli). JECoLi has been/is being used in several research projects that helped to shape its evolution, ranging application fields from Bioinformatics, to Data Mining and Computer Network optimization.
TypeConference paper
URIhttp://hdl.handle.net/1822/16868
ISBN978-0-7695-3872-3
DOI10.1109/ISDA.2009.161
ISSN2164-7143
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Artigos em Livros de Atas / Papers in Proceedings
DI/CCTC - Artigos (papers)

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