Evolutionary Computing Systems Lab


Welcome to the Evolutionary Computing Systems Lab (ECSL) directed by Dr. Sushil J. Louis. ECSL is hosted by the Computer Science Department of the University of Nevada-Reno. We investigate systems that combine genetic algorithm (GA) search with case-based reasoning (CBR) principles. Such Case Injected Genetic AlgoRithms (CIGAR) lead to a new paradigm for machine learning with special emphasis on design, optimization, and human modeling. CIGAR learns to take less time and produce better quality solutions as it gains experience. Empirical results from logic design, combinatorial optimization, and other applications show that these systems perform remarkably well across a variety of problem domains and solution representations.

Download the Evolutionary Computing Systems Lab ENTity (ECSLENT) Game Engine