Estimation of distribution algorithm

Known as: EDA, Estimation of Distribution Algorithms, PMBGA 
Estimation of distribution algorithms (EDAs), sometimes called probabilistic model-building genetic algorithms (PMBGAs), are stochastic optimization… (More)
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2009
2009
Both Estimation of Distribution Algorithms (EDAs) and Copula Theory are hot topics in different research domains. The key of EDAs… (More)
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2009
2009
Estimation of Distribution Algorithm (EDA) is a novel evolutionary computation, which mainly depends on learning and sampling… (More)
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Highly Cited
2008
Highly Cited
2008
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a… (More)
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Highly Cited
2008
Highly Cited
2008
Simplified lattice models have played an important role in protein structure prediction and protein folding problems. These… (More)
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Highly Cited
2005
Highly Cited
2005
The question of finding feasible ways for estimating probability distributions is one of the main challenges for Estimation of… (More)
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2005
2005
In this paper, we investigate the space complexity of the Estimation of Distribution Algorithms (EDAs), a class of sampling-based… (More)
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Highly Cited
2004
Highly Cited
2004
This paper introduces a new hybrid evolutionary algorithm for continuous global optimization problems, called Estimation of… (More)
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Highly Cited
2004
Highly Cited
2004
We investigate the global convergence of estimation of distribution algorithms (EDAs). In EDAs, the distribution is estimated… (More)
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2003
2003
This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint… (More)
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Highly Cited
2000
Highly Cited
2000
The direct application of statistics to stochastic optimization based on iterated density estimation has become more important… (More)
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