Real-parameter optimization using the mutation step co-evolution

Abstract- An evolutionary algorithm for the optimization of a function with real parameters is described in this paper. It uses a cooperative co-evolution to breed and reproduce successful mutation steps. The algorithm described herein is then tested on a suite of 10D and 30D reference optimization problems collected for the Special Session on Real-Parameter Optimization of the IEEE Congress on Evolutionary Computation 2005. The results are of mixed quality (as expected), but reveal several interesting aspects of this simple algorithm.

• Type: Conference
• Year: 2005
• Where: CEC
• Authors: Petr Posik
• Keywords: Artificial Intelligence, CEC 2005, Evolutionary Algorithm, Reference Optimization Problems, Successful Mutation Steps