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Abstract: Designing an adequate fitness function requires substantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human out of the loop by dynamically constructing the evaluation function based on interactions between evolving individuals. A question is to what extent such automatic evaluation can be adequate. We define the notion of an ideal evaluation function. It is shown that coevolution can in principle achieve ideal evaluation. Moreover,... (Update)
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BibTeX entry: (Update)
Edwin D. De Jong and Jordan B. Pollack. Learning the ideal evaluation function. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-03, 2003. http://citeseer.ist.psu.edu/dejong03learning.html More
@misc{ jong03learning,
author = "E. De Jong and J. Pollack",
title = "Learning the ideal evaluation function",
text = "Edwin D. De Jong and Jordan B. Pollack. Learning the ideal evaluation function.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-03,
2003.",
year = "2003",
url = "citeseer.ist.psu.edu/dejong03learning.html" }
Citations (may not include all citations):205 Co-evolving parasites improve simulated evolution in an opti.. (context) - Hillis - 1990
162 Genetic Algorithms for Multiobjective Optimization: Formulat.. - Fonseca, Fleming - 1993
110 Multi-Objective Optimization Using Evolutionary Algorithms (context) - Deb - 2001
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43 Tracking the Red Queen: Measurements of adaptive progress in.. - Cliff, Miller - 1995
43 Co-evolution in the successful learning of backgammon strate.. - Pollack, Blair - 1998
23 Coevolutionary dynamics in a minimal substrate - Watson, Pollack - 2001
19 Symbiotic combination as an alternative to sexual recombinat.. - Watson, Pollack - 2000
16 A game-theoretic approach to the simple coevolutionary algor.. - Ficici, Pollack - 2000
14 Pareto optimality in coevolutionary learning - Ficici, Pollack - 2001
14 Co-evolving intertwined spirals - Juille, Pollack - 1996
12 Ideal evaluation from coevolution - De Jong, Pollack
10 Combining convergence and diversity in evolutionary multi-ob.. - Laumanns, Thiele et al. - 2002
9 Evolution of Complexity in Real-World Domains (context) - Funes - 2001
9 Reducing Local Optima in Single-Objective Problems by Multi-.. - Knowles, Watson et al. - 2001
8 Coevolutionary Search among Adversaries (context) - Rosin - 1997
5 Methods for Statistical Inference: Extending the Evolutionar.. - Juille - 1999
5 Order-theoretic analysis of coevolution problems: Coevolutio.. - Bucci, Pollack - 2002
5 Information integration and Red Queen dynamics in coevolutio.. - Pagie, Hogeweg - 2000
4 Principled Evaluation in Coevolution - De Jong, Pollack - 2002
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