Co-evolving parasites improve simulated evolution as an optimization procedure
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Coevolution of active vision and feature selection
Biological Cybernetics
Genetic Programming and Evolvable Machines
Neuroevolution of an automobile crash warning system
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Physics for Game Developers
New methods for competitive coevolution
Evolutionary Computation
Competitive coevolution through evolutionary complexification
Journal of Artificial Intelligence Research
Nonlinear dynamics modelling for controller evolution
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Evolving controllers for simulated car racing using object oriented genetic programming
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Driving Cars by Means of Genetic Algorithms
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Evolving competitive car controllers for racing games with neuroevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
On-line neuroevolution applied to the open racing car simulator
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolving a fuzzy controller for a car racing competition
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Learning, evolution and adaptation in racing games
Proceedings of the 9th conference on Computing Frontiers
Networks Do Matter: The Socially Motivated Design of a 3D Race Controller Using Cultural Algorithms
International Journal of Swarm Intelligence Research
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Evolutionary car racing (ECR) is extended to the case of two cars racing on the same track. A sensor representation is devised, and various methods of evolving car controllers for competitive racing are explored. ECR can be combined with co-evolution in a wide variety of ways, and one aspect which is explored here is the relative-absolute fitness continuum. Systematical behavioural differences are found along this continuum; further, a tendency to specialization and the reactive nature of the controller architecture are found to limit evolutionary progress.