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Many optimization problems cannot be solved optimally using classical techniques. In such cases, it is a promising approach to use heuristics inspired from nature. Examples of such heuristics include evolutionary algorithms, ant colony optimization, particle swarm optimization, artificial immune systems, neural networks and simulated annealing. During the talk, different nature inspired computing heuristics, with an emphasis on evolutionary algorithms, and their current application areas will be presented.