This repo is meant to test and illustrate our implementation of the WFG problems.
Papers:
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Lucas Bradstreet, Luigi Barone, Lyndon While, Simon Huband, and Phil Hingston. Use of the WFG Toolkit and PISA for Comparison of Multi-objective Evolutionary Algorithms. 2007 IEEE Symposium on Computational Intelligence in Multi-criteria Decision-making. IEEE MCDM 2007, pages 382-389. IEEE, April 2007. download
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Simon Huband, Phil Hingston, Luigi Barone, and Lyndon While. A Review of Multi-objective Test Problems and a Scalable Test Problem Toolkit. IEEE Transactions on Evolutionary Computation, volume 10, no 5, pages 477-506. IEEE, October 2006. download
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Simon Huband, Luigi Barone, Lyndon While, and Phil Hingston. A Scalable Multi-objective Test Problem Toolkit. 3rd International Conference on Evolutionary Multi-Criterion Optimization. EMO 2005, volume 3410 of Lecture Notes in Computer Science, pages 280-294. Springer-Verlag, March 2005.
Existing implementations:
- Walking Fish Group WFG toolkit project: http://www.wfg.csse.uwa.edu.au/toolkit/
- jMetal: http://jmetal.sourceforge.net/problems.html
We have prepare an IPython notebook to check our code. It may be also usefull as a example on how to use the WFG problems. Grab it here: https://github.com/lmarti/wfg-deap/blob/master/WFG%20Test.ipynb
After we have tested that the problems are correctly implemented we have created a pull request for including wfg.py as part of DEAP guys.