Difference between revisions of "Evoptool: Evolutionary Optimization Tool"
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*Cucci Davide - cucci [AT] elet.polimi.it | *Cucci Davide - cucci [AT] elet.polimi.it | ||
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== Tool Description == | == Tool Description == | ||
Evolutionary Optimization Tool (Evoptool) is an open source optimization tool, distributed under GNU General Public License, implementing meta-heuristics based on the Evolutionary Algorithms paradigm, that aims to provide a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. Evoptool offers a wide set of benchmark problems, from classical toy samples to more complex tasks, and a collection of algorithm implementations from Genetic Algorithms and Estimation of Distribution Algorithms paradigms. Evoptool is flexible, easy to extend, also with algorithms based on other approaches other from EAs. | Evolutionary Optimization Tool (Evoptool) is an open source optimization tool, distributed under GNU General Public License, implementing meta-heuristics based on the Evolutionary Algorithms paradigm, that aims to provide a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. Evoptool offers a wide set of benchmark problems, from classical toy samples to more complex tasks, and a collection of algorithm implementations from Genetic Algorithms and Estimation of Distribution Algorithms paradigms. Evoptool is flexible, easy to extend, also with algorithms based on other approaches other from EAs. | ||
Revision as of 18:06, 21 October 2011
Evoptool Team
- Matteo Matteucci - matteucci [AT] elet.polimi.it
- Luigi Malagò - malago [AT] elet.polimi.it
- Gabriele Valentini - gvalentini [AT] iridia.ulb.ac.be
- Cucci Davide - cucci [AT] elet.polimi.it
Formerly involved
- Emanuele Corsano
Tool Description
Evolutionary Optimization Tool (Evoptool) is an open source optimization tool, distributed under GNU General Public License, implementing meta-heuristics based on the Evolutionary Algorithms paradigm, that aims to provide a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. Evoptool offers a wide set of benchmark problems, from classical toy samples to more complex tasks, and a collection of algorithm implementations from Genetic Algorithms and Estimation of Distribution Algorithms paradigms. Evoptool is flexible, easy to extend, also with algorithms based on other approaches other from EAs.
