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» Combining genetic algorithms with squeaky-wheel optimization
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CIDM
2009
IEEE
14 years 2 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
14 years 1 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2007
Springer
427views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolutionary music composer integrating formal grammar
—In this paper, an autonomous music composition tool is developed using Genetic Algorithms. The production is enhanced by integrating formal grammar rules. A formal grammar is a ...
Yaser M. A. Khalifa, Badar K. Khan, Jasmin Begovic...
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 1 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes