We present EvA2, a comprehensive metaheuristic optimization framework with emphasis on Evolutionary Algorithms implemented in Java. It presents a modular structure of interfaces and abstract classes for the implementation of optimization problems. End users may choose among several layers of abstraction for an entrance point meeting their requirements on both ease of use and access to extensive functionality. The EvA2 framework has been applied successfully in several academic as well as industrial cooperations and is extended continuously. It is freely available under an open source license (LGPL).
[pdf]
@inproceedings{Kron10EvA2,
author = {Kronfeld, Marcel and Planatscher, Hannes and Zell, Andreas},
title = {The {EvA2} Optimization Framework},
booktitle = {Learning and Intelligent Optimization Conference, Special Session
on Software for Optimization (LION-SWOP)},
year = {2010},
editor = {Blum, Christian and Battiti, Roberto},
number = {6073},
series = {Lecture Notes in Computer Science, LNCS},
pages = {247-250},
address = {Venice, Italy},
month = jan,
publisher = {Springer Verlag},
abstract = {We present EvA2, a comprehensive metaheuristic optimization framework
with emphasis on Evolutionary Algorithms implemented in Java. It
presents a modular structure of interfaces and abstract classes for
the implementation of optimization problems. End users may choose
among several layers of abstraction for an entrance point meeting
their requirements on both ease of use and access to extensive functionality.
The EvA2 framework has been applied successfully in several academic
as well as industrial cooperations and is extended continuously.
It is freely available under an open source license (LGPL).},
url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2010/Kron10EvA2Short.pdf}
}