# Estimation of distribution algorithm

## Papers overview

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2009

2009

- GEC Summit
- 2009

Both Estimation of Distribution Algorithms (EDAs) and Copula Theory are hot topics in different research domains. The key of EDAsâ€¦Â (More)

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2009

2009

- IEEE Congress on Evolutionary Computation
- 2009

Estimation of Distribution Algorithm (EDA) is a novel evolutionary computation, which mainly depends on learning and samplingâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- IEEE Transactions on Evolutionary Computation
- 2008

Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of aâ€¦Â (More)

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2008

Highly Cited

2008

- IEEE Transactions on Evolutionary Computation
- 2008

Simplified lattice models have played an important role in protein structure prediction and protein folding problems. Theseâ€¦Â (More)

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2005

Highly Cited

2005

- Evolutionary Computation
- 2005

The question of finding feasible ways for estimating probability distributions is one of the main challenges for Estimation ofâ€¦Â (More)

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2005

2005

- Evolutionary Computation
- 2005

In this paper, we investigate the space complexity of the Estimation of Distribution Algorithms (EDAs), a class of sampling-basedâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- 2004

This paper introduces a new hybrid evolutionary algorithm for continuous global optimization problems, called Estimation ofâ€¦Â (More)

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2004

Highly Cited

2004

- IEEE Transactions on Evolutionary Computation
- 2004

We investigate the global convergence of estimation of distribution algorithms (EDAs). In EDAs, the distribution is estimatedâ€¦Â (More)

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2003

2003

- GECCO
- 2003

This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of jointâ€¦Â (More)

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2000

Highly Cited

2000

- PPSN
- 2000

The direct application of statistics to stochastic optimization based on iterated density estimation has become more importantâ€¦Â (More)

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