Title :
Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison
Author :
Valentini, Gabriele ; Malagò, Luigi ; Matteucci, Matteo
Author_Institution :
Dipt. di Elettron. e Inf. (DEI), Politec. di Milano, Milan, Italy
Abstract :
This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. Evoptool provides a common platform for the development and test of new algorithms, in order to facilitate the performance comparison activity. The toolkit offers a wide set of benchmark problems, from classical toy examples to complex tasks, and a collection of implementations of algorithms from the Genetic Algorithms and Estimation of Distribution Algorithms paradigms. Evoptool is flexible and easy to extend, also with algorithms based on other approaches that go beyond Evolutionary Computation.
Keywords :
genetic algorithms; Evolutionary Optimization Tool; Evoptool toolkit; algorithm development; algorithm testing; distribution algorithm; evolutionary computation; evolutionary optimization algorithm comparison; genetic algorithm; optimization toolkit; Algorithm design and analysis; Bayesian methods; Benchmark testing; Estimation; Evolutionary computation; Libraries; Optimization;
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
DOI :
10.1109/CEC.2010.5586138