Product based variables transformations for evolutionary computing
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Product based variables transformations for evolutionary computing
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| 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: | Active |
| Level: | Ms |
| Type: | Thesis |
