Abstract. Genetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the perform...
Abstract. Emergence--macro-level effects from micro-level causes--is at the heart of the conflict between reductionism and functionalism. How can there be autonomous higher level l...
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Early primitive animals with simple feed-forward neuronal circuits were limited to reactive behavior. Through evolution, they were gradually equipped with memory and became able t...
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...