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
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Artificial Life
Coevolutionary search among adversaries
Coevolutionary search among adversaries
Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations
Proceedings of the Third European Conference on Advances in Artificial Life
Properties of the Bucket Brigade
Proceedings of the 1st International Conference on Genetic Algorithms
Coevolutionary Learning: A Case Study
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Competitive Environments Evolve Better Solutions for Complex Tasks
Proceedings of the 5th International Conference on Genetic Algorithms
Evolution of Non-Deterministic Incremental Algorithms as a New Approach for Search in State Spaces
Proceedings of the 6th International Conference on Genetic Algorithms
Coevolution, Memory and Balance
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Tournament Competition and its Merits for Coevolutionary Algorithms
Journal of Heuristics
New methods for competitive coevolution
Evolutionary Computation
Evolutionary consequences of coevolving targets
Evolutionary Computation
Evolving 3d morphology and behavior by competition
Artificial Life
Dynamic bee colony algorithm based on multi-species co-evolution
Applied Intelligence
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For an efficient competitive coevolutionary algorithm, it is important that competing populations be capable of maintaining a coevolutionary balance and hence, continuing evolutionary arms race to increase the levels of complexity. We propose a competitive coevolutionary algorithm that combines the strategies of neighborhood-based evolution, entry fee exchange tournament competition (EFE-TC) and localized elitism. An emphasis is placed on analyzing the effects of these strategies on the performance of competitive coevolutionary algorithms. We have tested the proposed algorithm with two adversarial problems: sorting network and Nim game problems that have different characteristics. The experimental results show that the interacting effects of the strategies appear to promote a balanced evolution between host and parasite populations, which naturally leads them to keep on evolutionary arms race. Consequently, the proposed algorithm provides good quality solutions with a little computation time.