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177
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GECCO
2005
Springer
16 years 16 days ago
2005
Springer
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
197
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GECCO
2004
Springer
16 years 12 days ago
2004
Springer
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
206
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GECCO
2004
Springer
16 years 12 days ago
2004
Springer
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
172
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CEC
2003
IEEE
16 years 9 days ago
2003
IEEE
Although many methods for dealing with multi-objective optimisation (MOO) problems are available [Deb01] and successful applications have been reported [Coe01], the comparison betw...
192
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...