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teaching:mfe:ia [2015/04/11 17:44] stuetzle [Applications of the Multi-objective ACO framework] |
teaching:mfe:ia [2015/04/11 17:47] stuetzle [Stochastic Local Search heuristics for solving NP-complete puzzles.] |
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* [[http://iridia.ulb.ac.be/~lperez|Leslie Perez (IRIDIA)]] | * [[http://iridia.ulb.ac.be/~lperez|Leslie Perez (IRIDIA)]] | ||
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- | ===== Stochastic Local Search heuristics for solving NP-complete puzzles. ====== | ||
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- | This project is about single player games (puzzles) and the design of algorithms for tackling hard combinatorial optimisation problems. | ||
- | Example puzzles are: [[http://en.wikipedia.org/wiki/Light_Up|Light Up]], [[http://en.wikipedia.org/wiki/Mastermind_(board_game)|Mastermind]], [[http://en.wikipedia.org/wiki/Minesweeper_(video_game)|Minesweeper]], etc. | ||
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- | The student will learn how to design and implement a Stochastic Local Search algorithm to solve NP-complete puzzles. The student will also learn how to analyse the performaces of the algorithm and perform statistically sound comparisons with the other algorithms available in literature. | ||
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- | Required skills: good knowledge of C or C++ programming. | ||
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- | * Contacts : | ||
- | * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]] | ||
- | * [[http://iridia.ulb.ac.be/~fmascia|Franco Mascia (IRIDIA)]] | ||
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- | ===== Automatic fine-tuning of an evolutionary multi-objective framework ===== | ||
- | The goal of this project is to explore the possibilities of using automatic configuration tools for fine-tuning an existing [[http://paradiseo.gforge.inria.fr/index.php?n=Paradiseo.MOEO|evolutionary multi-objective framework]]. The student will learn about automatic configuration tools, evolutionary algorithms for multi-objective optimization problems and analysis and comparison of multi-objective algorithms. | ||
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- | * Contacts : | ||
- | * [[http://iridia.ulb.ac.be/~manuel|Manuel López-Ibáñez (IRIDIA)]] | ||
- | * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]] | ||
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