Results 11 to 20 of about 173,639,131 (247)
An estimation of distribution algorithm for nurse scheduling [PDF]
Annals of Operations Research, 2007 Schedules can be built in a similar way to a human scheduler by using a set of rules that involve domain knowledge. This paper presents an Estimation of Distribution Algorithm (eda) for the nurse scheduling problem, which involves choosing a suitable scheduling rule from a set for the assignment of each nurse.
Uwe Aickelin, Jingpeng Li 0001
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Bayesian inference in estimation of distribution algorithms [PDF]
2007 IEEE Congress on Evolutionary Computation, 2007 Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimization problems. The model fitting task in this class of algorithms has largely been carried out to date based on maximum likelihood.
Marcus Gallagher +3 more
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Reinforcement Learning Estimation of Distribution Algorithm
, 2003 This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions to generate a new population of solutions. We call it Reinforcement Learning Estimation of Distribution Algorithm (RELEDA).
Topon Kumar Paul, Hitoshi Iba
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Evolutionary strategy search algorithm for fast block motion estimation [PDF]
, 2006 The evolutionary strategy search (ESS) algorithm is a novel method for implementing fast block motion estimation (ME) using evolutionary strategy (ES).
Loo, KK, Hay, J, Loo, J., Hay, J.
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Theory of Estimation-of-Distribution Algorithms [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2019 This is a preliminary version of a chapter in the upcoming book "Theory of Randomized Search Heuristics in Discrete Search Spaces", edited by Benjamin Doerr and Frank Neumann, to be published by ...
Martin S. Krejca, Carsten Witt
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Multimodal Estimation of Distribution Algorithms [PDF]
IEEE Transactions on Cybernetics, 2017 Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper proposes a multimodal EDA. Integrated with clustering strategies for crowding and speciation, two versions of this algorithm are developed, which operate at the niche level.
Qiang Yang 0008 +5 more
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Significance-Based Estimation-of-Distribution Algorithms [PDF]
IEEE Transactions on Evolutionary Computation, 2018 Estimation-of-distribution algorithms (EDAs) are randomized search heuristics that create a probabilistic model of the solution space, which is updated iteratively, based on the quality of the solutions sampled according to the model. As previous works show, this iteration-based perspective can lead to erratic updates of the model, in particular, to ...
Doerr, Benjamin, Krejca, Martin
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An Estimation of Distribution Algorithm With Filtering and Learning [PDF]
IEEE Transactions on Automation Science and Engineering, 2021 Estimation of distribution algorithm (EDA) is an efficient population-based stochastic search technique. Since it was proposed, many attempts have been made to improve its performance in the context of nonlinear continuous optimization. However, the success of EDA depends on the accuracy of modeling, the effectiveness of sampling, and the ability of ...
Lixin Tang 0002 +3 more
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A review of estimation of distribution algorithms in bioinformatics [PDF]
BioData Mining, 2008 Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most well-known and representative evolutionary search technique, have been the subject of the major part of such applications. Estimation
Rubén Armañanzas +10 more
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An Estimation of Distribution Algorithm with Intelligent Local Search for Rule-based Nurse Rostering [PDF]
, 2006 This paper proposes a new memetic evolutionary algorithm to achieve explicit learning in rule-based nurse rostering, which involves applying a set of heuristic rules for each nurse's assignment.
Aickelin, Uwe +12 more
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