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teaching:mfe:ia [2015/03/26 14:56]
bersini [Contribution au développement de la platerorme Big Data d'IRIDIA]
teaching:mfe:ia [2015/04/11 17:38]
stuetzle [Analysis of Local Optima Networks for the Max-Clique problem.]
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     * [[http://​iridia.ulb.ac.be/​~mdorigo|Marco Dorigo (IRIDIA)]] ​     * [[http://​iridia.ulb.ac.be/​~mdorigo|Marco Dorigo (IRIDIA)]] ​
     * [[http://​iridia.ulb.ac.be/​~stuetzle|Thomas Stützle (IRIDIA)]] ​     * [[http://​iridia.ulb.ac.be/​~stuetzle|Thomas Stützle (IRIDIA)]] ​
-    * [[http://​iridia.ulb.ac.be/​~mbiro|Mauro Birattari (IRIDIA)]] ​ 
-    * [[http://​iridia.ulb.ac.be/​~manuel|Manuel López-Ibáñez (IRIDIA)]] 
  
  
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     * [[http://​iridia.ulb.ac.be/​~mdorigo|Marco Dorigo (IRIDIA)]] ​     * [[http://​iridia.ulb.ac.be/​~mdorigo|Marco Dorigo (IRIDIA)]] ​
     * [[http://​iridia.ulb.ac.be/​~stuetzle|Thomas Stützle (IRIDIA)]] ​     * [[http://​iridia.ulb.ac.be/​~stuetzle|Thomas Stützle (IRIDIA)]] ​
-    * [[http://​iridia.ulb.ac.be/​~mbiro|Mauro Birattari (IRIDIA)]] ​ 
-    * [[http://​iridia.ulb.ac.be/​~manuel|Manuel López-Ibáñez (IRIDIA)]] 
        
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-===== Graphical Tools for analysing Multi-Objective Data. ===== 
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-In multi-objective problems, not only one objective function must be minimised but several, often conflicting,​ objectives must be taken into account. The result is often a set of solutions modelling the trade-off between the objectives of the problem. 
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-The goal of this project is to develop graphical tools to interactively examine and compare the results of algorithms for multi-objective problems. 
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-Required skills: The candidate should be well acquainted with programming in object oriented languages. 
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-  * Contacts :  
-    * [[http://​iridia.ulb.ac.be/​~stuetzle|Thomas Stützle (IRIDIA)]] ​ 
-    * [[http://​iridia.ulb.ac.be/​~manuel|Manuel López-Ibáñez (IRIDIA)]] 
  
  
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     * [[http://​iridia.ulb.ac.be/​~stuetzle|Thomas Stützle (IRIDIA)]] ​     * [[http://​iridia.ulb.ac.be/​~stuetzle|Thomas Stützle (IRIDIA)]] ​
     * [[http://​iridia.ulb.ac.be/​~mbiro|Mauro Birattari (IRIDIA)]] ​     * [[http://​iridia.ulb.ac.be/​~mbiro|Mauro Birattari (IRIDIA)]] ​
-    * [[http://​iridia.ulb.ac.be/​~manuel|Manuel López-Ibáñez (IRIDIA)]] +    * [[http://​iridia.ulb.ac.be/​~lperez|Leslie Perez (IRIDIA)]]
-    * [[http://​iridia.ulb.ac.be/​~jdubois|Jérémie Dubois-Lacoste ​(IRIDIA)]]+
  
  
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     * [[http://​iridia.ulb.ac.be/​~fmascia|Franco Mascia (IRIDIA)]] ​       * [[http://​iridia.ulb.ac.be/​~fmascia|Franco Mascia (IRIDIA)]] ​  
  
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-===== Analysis of Local Optima Networks for the Max-Clique problem. ====== 
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-Stochastic Local Search algorithms search for optimal solutions in a large space of candidate solutions. Local Optima Networks (LON) are representations of search landscapes of combinatorial optimisation problems. In these networks, nodes are local optima of the problem, and edges are weighted transitions between the optima. These networks model in a more compact way the properties of the larger search spaces they represent. 
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-The goal of this project is to build LON of small instances of the Maximum Clique (MC) problem, and measure properties that could illustrate the differences between instance families. 
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-The MC problem is an NP-hard combinatorial optimisation problem that asks to find the biggest completely connected component of a graph. It has relevant applications in information retrieval, computer vision, social network analysis, computational biochemistry,​ bioinformatics and genomics. 
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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)]] ​   
  
  
 
teaching/mfe/ia.txt · Last modified: 2024/07/01 16:15 by stuetzle