Difference between revisions of "Evoptool: Evolutionary Optimization Tool"
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The project focus on the study, implementation, comparison and analysis of different algorithms for combinatorial optimization using techniques and algorithms proposed in Evolutionary Computation. In particular we are interested in the study of Estimation of Distribution Algorithms, a recent meta-heuristic, often presented as an evolution of Genetic Algorithms, where classical crossover and mutation operators, used in genetic algorithms, are replaced with operators that come from statistics, such as sampling and estimation. | The project focus on the study, implementation, comparison and analysis of different algorithms for combinatorial optimization using techniques and algorithms proposed in Evolutionary Computation. In particular we are interested in the study of Estimation of Distribution Algorithms, a recent meta-heuristic, often presented as an evolution of Genetic Algorithms, where classical crossover and mutation operators, used in genetic algorithms, are replaced with operators that come from statistics, such as sampling and estimation. | ||
The focus will be on the implementation of new hybrid algorithms able to combine estimation of distribution algorithms with different approaches available in the evolutionary computation literature, such as genetic algorithms and evolutionary strategies, together with other local search techniques. | The focus will be on the implementation of new hybrid algorithms able to combine estimation of distribution algorithms with different approaches available in the evolutionary computation literature, such as genetic algorithms and evolutionary strategies, together with other local search techniques. | ||
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| + | == Warning!!! == | ||
| + | '''This page is not available right now. We are working on an heavy revision of it together with the first public release of evoptool under GPL. AIRWiki's users can have access to old stuff in Discussion section of this page. ''' | ||
Revision as of 20:30, 20 December 2009
Project profile
| Name: | evoptool: Evolutionary Optimization Tool. |
| Field: | Combining Estimation of Distribution Algorithms and other Evolutionary techniques
for combinatorial optimization. |
| People involved: | Matteo Matteucci - matteucc@elet.polimi.it
Luigi Malagò - malago@elet.polimi.it Gabriele Valentini - gabriele.valentini@mail.polimi.it |
Short Description
The project focus on the study, implementation, comparison and analysis of different algorithms for combinatorial optimization using techniques and algorithms proposed in Evolutionary Computation. In particular we are interested in the study of Estimation of Distribution Algorithms, a recent meta-heuristic, often presented as an evolution of Genetic Algorithms, where classical crossover and mutation operators, used in genetic algorithms, are replaced with operators that come from statistics, such as sampling and estimation. The focus will be on the implementation of new hybrid algorithms able to combine estimation of distribution algorithms with different approaches available in the evolutionary computation literature, such as genetic algorithms and evolutionary strategies, together with other local search techniques.
Warning!!!
This page is not available right now. We are working on an heavy revision of it together with the first public release of evoptool under GPL. AIRWiki's users can have access to old stuff in Discussion section of this page.
