Evolutionary Computing is the field which studies Evolutionary Algorithms, a class of stochastic, population-based algorithms inspired by natural evolution theory and genetics, capable of solving complex, ill-behaved, non-linear problems for which classic techniques fail. This talk will give a quick conceptual introduction to how these algorithms work and review some of the many algorithmic flavors including Genetic Algorithms, Evolution Strategies, Genetic Programming, Coevolution, and Multi-Objective Evolutionary Algorithms. The talk will conclude with an overview of Dr. Tauritz’ Evolutionary Computing course which interested LANL staff members may consider enrolling in via distance education for fall semester 2012.

Host: Alexander Kent