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 II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Foundations of genetic programming
Foundations of genetic programming
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Combining Competitive And Cooperative Coevolution For Training Cascade Neural Networks
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Investigating the success of spatial coevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Ideal Evaluation from Coevolution
Evolutionary Computation
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We show how the addition of co-evolution to genetic programming (GP) overcomes the current limitations of GP as well as GP augmented with automatically defined functions (GP+ADF) with a method called co-evolutionary automatically defined functions (GP+CADF). We demonstrate that GP+CADF requires a lower computational effort to solve the parity, sum of bits, image recognition, lawn coverage and the bumblebee problems. To further improve GP+CADF, we discover that using elitism lowers the computational effort required. We also discover ways to improve the initial population and initial best individuals used for evaluation.