Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
Competitive Environments Evolve Better Solutions for Complex Tasks
Proceedings of the 5th International Conference on Genetic Algorithms
Methods for Competitive Co-Evolution: Finding Opponents Worth Beating
Proceedings of the 6th International Conference on Genetic Algorithms
Strategy Adaption by Competing Subpopulations
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
RoboCup-97: Robot Soccer World Cup I
Symbiotic Coevolution of Artificial Neural Networks and Training Data Sets
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Solution concepts in coevolutionary algorithms
Solution concepts in coevolutionary algorithms
Co-evolutionary particle swarm optimization to solve min-max problems
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Introductory tutorial on coevolution
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
New methods for competitive coevolution
Evolutionary Computation
Evolvable simulations applied to automated red teaming: a preliminary study
Proceedings of the Winter Simulation Conference
A multimodal problem for competitive coevolution
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
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In this paper, we describe Automated Co-Evolution (ACE), a framework that uses Competitive Co-Evolutionary Algorithm (CCEA) and High Performance Computing (HPC), to study the dynamics of competition in a military context through simulations. The overall goal is to complement the manually intensive actions-reactions process in developing (automatically) a Blue plan that performs well and is relatively robust even in the face of an adaptive Red adversary. The design of key components and techniques that are required to develop the ACE framework are described and discussed. An academic study using a military scenario - Maritime Anchorage Protection, was conducted and the results analyzed to demonstrate the capability of the ACE framework. It also illustrated how the ACE process could be used to complement Operational Analysis (OA).