An agent-based collaborative evolutionary model for multimodal optimization
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Exploring e-learning knowledge through ontological memetic agents
IEEE Computational Intelligence Magazine
Genetic representation and evolvability of modular neural controllers
IEEE Computational Intelligence Magazine
Application notes: robust morphogenesis of robotic swarms
IEEE Computational Intelligence Magazine
Research frontier: deep machine learning--a new frontier in artificial intelligence research
IEEE Computational Intelligence Magazine
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Already in the early 1960s, Larry Fogel and his colleagues were exploring the possibility of creating artificial intelligence using simulated evolution. Over the past 50 years, that idea has captured the imagination of many people and has led to a wide variety of approaches. In this article, this quest is summarized, the current state of the art is described, and some of the remaining open questions are discussed.