Product based variables transformations for evolutionary computing

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Product based variables transformations for evolutionary computing
Short Description: This work is about evaluating a class of variables transformation as a novel model building technique in evolutionary computing and pseudo boolean optimization. Convergence properties and theoretical results will be derived using the information geometry theory by Shun-ichi Amari.
Coordinator: MatteoMatteucci (matteo.matteucci@polimi.it)
Tutor: LuigiMalago (malago@elet.polimi.it)
Collaborator:
Students: EmanueleCorsano (emanuele.corsano@gmail.com), DavideCucci (cucci@elet.polimi.it)
Research Area: Machine Learning
Research Topic:
Start: 2010/03/01
End: 2011/03/31
Status: Closed
Level: Ms
Type: Thesis