In this course, we show how to model some complex problems encountered in various domains (biology, politics, economics, design, ... ) by dealing with non-standard optimization algorithms (heuristics, meta-heuristics) and game theory. On simple cases, we will illustrate these resolution processes.
Complexity / Heuristics / Simulated annealing / Genetic algorithms / Ant system / Particule swarm optimization Game Theory
Final mark = 50% Knowledge + 50% Know-how Knowledge = final exam Know-how = continuous assessment