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Abstract: this paper we will propose a new unifying approach to evolutionary computation: Evolving Objects (EO), which tries to overcome the two problems mentioned above, by freeing evolutionary computation from a choice of representation, giving it the possibility of integration into current OSs, graphic user interfaces (GUIs) and networks, and at the same time include all current EC paradigms. (Update)
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BibTeX entry: (Update)
@misc{ merelo-evolving,
author = "J.J. Merelo and J. Carpio and P. Castillo and V.M. Rivas and G. Romero",
title = "Evolving Objects",
url = "citeseer.ist.psu.edu/merelo00evolving.html" }
Citations (may not include all citations):154 Optimization of control parameters for genetic algorithms (context) - Grefenstette - 1986
37 Genetic Algorithms + Data Structures = Evolution Programs (context) - Michalewicz - 1996
30 Meta-evolutionary programming (context) - Fogel, Fogel et al. - 1991
9 Prop: Global Optimization of Multilayer Perceptrons using GA.. (context) - Castillo, Gonz et al. - 1998
8 Self-adaptation in genetic algorithms (context) - ack - 1991
8 Solving mastermind using GAs and simulated annealing: a case.. (context) - Bernier, Herr et al. - 1996
3 Prop-III: Global optimization of multilayer perceptrons usin.. (context) - Castillo, Gonz et al. - 1999
2 Finding a needel in a haystack using hints and evolutionary .. (context) - Merelo, Carpio et al. - 1999
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