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169
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GECCO
2005
Springer
15 years 12 months 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...
179
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GECCO
2004
Springer
15 years 11 months 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...
191
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GECCO
2004
Springer
15 years 11 months 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...
159
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CEC
2003
IEEE
15 years 11 months 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...
177
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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...