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
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
Artificial Life
Solution concepts in coevolutionary algorithms
Solution concepts in coevolutionary algorithms
The MaxSolve algorithm for coevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Ideal Evaluation from Coevolution
Evolutionary Computation
A Monotonic Archive for Pareto-Coevolution
Evolutionary Computation
New methods for competitive coevolution
Evolutionary Computation
Evolutionary consequences of coevolving targets
Evolutionary Computation
A game-theoretic memory mechanism for coevolution
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
A game-theoretic and dynamical-systems analysis of selection methods in coevolution
IEEE Transactions on Evolutionary Computation
Cooperative problem decomposition in Pareto competitive classifier models of coevolution
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Classification as clustering: A pareto cooperative-competitive gp approach
Evolutionary Computation
Hi-index | 0.00 |
In this research, we compare four different evaluation meth-ods in coevolution on the Majority Function problem. Thesize of the problem is selected such that an evaluation againstall possible test cases is feasible. Two measures are usedfor the comparisons, i.e., the objective fitness derived fromevaluating solutions againt all test cases, and the objectivefitness correlation (OFC), which is defined as the correlationcoefficient between subjective and objective fitness. The re-sults of our experiments suggest that a combination of aver-age score and weighted informativeness may provide a moreaccurate evaluation in coevolution. In order to confirm thisdifference, a series of t-tests on the preference between eachpair of the evaluation methods is performed. The resultingsignificance is affirmative, and the tests for two quality mea-sures show similar preference on four evaluation methods.