Coevolutionary Convergence to Global Optima

We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is shown for the first time that coevolutionary arms races yielding global optima can be implemented successfully in a procedure similar to simulated annealing.

• Type: Conference
• Year: 2003
• Where: GECCO
• Authors: Lothar M. Schmitt
• Keywords: Coevolutionary Setting, GECCO 2003, Global Optima, Scaled Genetic Algorithm