Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Evolving cellular automata to perform computations: mechanisms and impediments
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Coevolutionary search among adversaries
Coevolutionary search among adversaries
Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations
Proceedings of the Third European Conference on Advances in Artificial Life
Coevolutionary Learning: A Case Study
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Symbiotic Combination as an Alternative to Sexual Recombination in Genetic Algorithms
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
A Game-Theoretic Approach to the Simple Coevolutionary Algorithm
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
NK-Landscapes as Test Functions for Evaluation of Host-Parasite Algorithms
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Methods for statistical inference: extending the evolutionary computation paradigm
Methods for statistical inference: extending the evolutionary computation paradigm
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Resource sharing and coevolution in evolving cellular automata
IEEE Transactions on Evolutionary Computation
Classification as clustering: A pareto cooperative-competitive gp approach
Evolutionary Computation
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces
Genetic Programming and Evolvable Machines
The effects of diversity maintenance on coevolution for an intransitive numbers problem
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
GP under streaming data constraints: a case for pareto archiving?
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Benchmarking pareto archiving heuristics in the presence of concept drift: diversity versus age
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Improving coevolution by random sampling
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Shaping fitness function for evolutionary learning of game strategies
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Quantitative analysis of the hall of fame coevolutionary archives
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms. We can think of agents in a coevolutionary system as performing MOO, as well: An agent interacts with many other agents, each of which can be regarded as an objective for optimization. We adapt the Pareto concept to allow agents to follow gradient and create gradient for others to follow, such that co-evolutionary learning succeeds. We demonstrate our Pareto coevolution methodology with the majority function, a density classification task for cellular automata.