An introduction to genetic algorithms
An introduction to genetic algorithms
ALIFE Proceedings of the sixth international conference on Artificial life
Coevolutionary Learning: A Case Study
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Methods for Competitive Co-Evolution: Finding Opponents Worth Beating
Proceedings of the 6th International Conference on Genetic Algorithms
Data farming in Singapore: a brief history
Proceedings of the 40th Conference on Winter Simulation
Research advances in automated red teaming
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Evolvable simulations applied to automated red teaming: a preliminary study
Proceedings of the Winter Simulation Conference
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In this paper we explore the concept of two-sided competitive coevolution as a mechanism to explore the dynamics of competition in a simulation context. One potential value of doing so is the ability to rapidly explore simultaneous adaptations to two sides, presumably Blue and Red, in order to find solutions that perform well and are relatively robust even in the face of an adaptive adversary.