- author = "Jose Antonio Parejo and Antonio Ruiz-Cortes and Sebastian Lozano and Pablo Fernandez",
- title = "Metaheuristic optimization frameworks: a survey and benchmarking",
- journal = "Soft Computing",
- year = "2012",
- volume = "16",
- number = "3",
- pages = "527--561",
- keywords = "genetic algorithms, genetic programming",
- publisher = "Springer-Verlag",
- ISSN = "1432-7643",
-
URL = "
http://dx.doi.org/10.1007/s00500-011-0754-8",
-
DOI = "
doi:10.1007/s00500-011-0754-8",
- language = "English",
- size = "35 pages",
- abstract = "This paper performs an unprecedented comparative study of Metaheuristic optimisation frameworks. As criteria for comparison a set of 271 features grouped in 30 characteristics and 6 areas has been selected. These features include the different metaheuristic techniques covered, mechanisms for solution encoding, constraint handling, neighbourhood specification, hybridisation, parallel and distributed computation, software engineering best practices, documentation and user interface, etc. A metric has been defined for each feature so that the scores obtained by a framework are averaged within each group of features, leading to a final average score for each framework. Out of 33 frameworks ten have been selected from the literature using well-defined filtering criteria, and the results of the comparison are analysed with the aim of identifying improvement areas and gaps in specific frameworks and the whole set. Generally speaking, a significant lack of support has been found for hyper-heuristics, and parallel and distributed computing capabilities. It is also desirable to have a wider implementation of some Software Engineering best practises. Finally, a wider support for some meta heuristics and hybridisation capabilities is needed.",
-
notes = "EasyLocal (Di Gaspero and Schaerf 2003) 2.0
http://satt.diegm.uniud.it/EasyLocal++/
ECJ (Luke et al. 2009) 20 http://cs.gmu.edu/~eclab/projects/ecj/
EO/ ParadisEO/ MOEO/ PEO \cite{Cahon:2004:JoH} 1.2 http://paradiseo.gforge.inria.fr http://eodev.sourceforge.net/
EvA2 (Kronfeld et al. 2010) 2 http://www.ra.cs.uni-tuebingen.de/software/EvA2/
FOM (Parejo et al. 2003) 0.8 http://www.isa.us.es/fom
HeuristicLab (Wagner 2009) 3.3 http://dev.heuristiclab.com
JCLEC (and KEEL) (Ventura et al. 2008) 4.0 http://JCLEC.sourceforge.net http://sci2s.ugr.es/keel/
MALLBA (Alba et al. 2007) 2.0 http://neo.lcc.uma.es/mallba/easy-mallba/index.html
Optimization Algorithm Toolkit (Brownlee 2007) 1.4 http://optalgtoolkit.sourceforge.net
Opt4j (Martin Lukasiewycz and Helwig 2009) 2.1 http://opt4j.sourceforge.net",
