Evoptool: Evolutionary Optimization Tool

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.