Suchergebnisse - "Estimation of distribution algorithm"

Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm von Ren, Zhigang, Liang, Yongsheng, Wang, Lin, Zhang, Aimin, Pang, Bei, Li, Biying

“… Traditional Gaussian estimation of distribution algorithms (EDAs) are confronted with issues that the variable variances decrease fast and the main search …”
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A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model von Xinle Liang, Huaping Chen, Lozano, Jose A.

“… In this paper, the discrete model is implemented on a problem of minimizing the weighted resource allocation subject to a common deadline on a single machine …”
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MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm von Martí, Luis, García, Jesús, Berlanga, Antonio, Molina, José M.

“… The extension of estimation of distribution algorithms (EDAs) to the multi-objective domain has led to multi-objective optimization EDAs (MOEDAs …”
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Introducing Generative adversarial networks on Estimation of distribution algorithm to solve permutation-based problems von Lemtenneche, Sami, Cheriet, Abdelhakim, Bensayah, Abdallah

“… As a subclass of evolutionary algorithms, estimation of distribution algorithms (EDAs) have found widespread use in a variety of optimization problems with impressive performance …”
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Estimation of distribution algorithm based on probabilistic grammar with latent annotations von Hasegawa, Y., Iba, H.

“… Many algorithms called EDAs (Estimation of Distribution Algorithms) based on probabilistic techniques have been proposed …”
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Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming von Kangil Kim, McKay, R. I.

“… In estimation of distribution algorithms (EDAs), probability models hold accumulating evidence on the location of an optimum …”
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Genetic & Evolutionary Biometrics: Feature extraction from a Machine Learning perspective von Shelton, J., Alford, A., Small, L., Leflore, D., Williams, J., Adams, J., Dozier, G., Bryant, K., Abegaz, T., Ricanek, K.

“… ) that generalize well to unseen subjects. GEFE ML was trained on a dataset taken from the FRGC database and generalized well on two test sets of unseen subjects taken from the FRGC and MORPH database …”
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Genetic & Evolutionary Biometrics: Hybrid feature selection and weighting for a multi-modal biometric system von Alford, A., Steed, C., Jeffrey, M., Sweet, D., Shelton, J., Small, L., Leflore, D., Dozier, G., Bryant, K., Abegaz, T., Kelly, J. C., Ricanek, K.

“… ). The goal of GEFeWS ML is to evolve feature masks (FMs) that achieve high recognition accuracy, use a low percentage of features, and generalize well to unseen subjects …”
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A review of estimation of distribution algorithms in bioinformatics von Armañanzas, Rubén, Inza, Iñaki, Santana, Roberto, Saeys, Yvan, Flores, Jose Luis, Lozano, Jose Antonio, Peer, Yves Van de, Blanco, Rosa, Robles, Víctor, Bielza, Concha, Larrañaga, Pedro

“… Estimation of distribution algorithms (EDAs) offer a novel evolutionary paradigm that constitutes a natural and attractive alternative to genetic algorithms …”
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Runtime Analysis of the Compact Genetic Algorithm on the LeadingOnes Benchmark von Chwialkowski, Marcel, Doerr, Benjamin, Krejca, Martin S.

“… The compact genetic algorithm (cGA) is one of the simplest estimation-of-distribution algorithms (EDAs …”
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Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0) von Kriest, Iris, Sauerland, Volkmar, Khatiwala, Samar, Srivastav, Anand, Oschlies, Andreas

“… Therefore, these models are subject to a high level of parametric uncertainty. This may be of consequence for their skill with respect to accurately describing …”
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Chaotic synchronization using PID control combined with population based incremental learning algorithm von Coelho, Leandro dos Santos, Grebogi, Rafael Bartnik

“… In recent years, a new class of EAs called estimation of distribution algorithms (EDAs) has emerged based on probabilistic modeling of the search space …”
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Multi-User Pilot Pattern Optimization for Channel Extrapolation in 5G NR Systems von Wan, Yubo, Liu, An, Quek, Tony Q. S.

“… ) among all users, subject to a statistical resolution limit (SRL) constraint. Unlike existing literature that only utilizes ISL for controlling side-lobe levels …”
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Multi-User Pilot Pattern Optimization for Channel Extrapolation in 5G NR Systems von Wan, Yubo, Liu, An, Quek, Tony Q. S.

“… ) among all users, subject to a statistical resolution limit (SRL) constraint. Unlike existing literature that only utilizes ISL for controlling side-lobe levels …”
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Planning of a Bicycle Sharing System von Ösken, Özlem

“… In the past work related to the subject, it seems that there are two main problems affect the bicycle sharing systems’ demand and quality …”
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Multi-User Pilot Pattern Optimization for Channel Extrapolation in 5G NR Systems von Wan, Yubo, Liu, An, Quek, Tony Q S

“… ) among all users, subject to a statistical resolution limit (SRL) constraint. Unlike existing literature that only utilizes ISL for controlling side-lobe levels …”
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Metaheuristic approaches to the placement of suicide bomber detectors von Cotta, Carlos, Gallardo, José E.

“… (such as a hill climber, different Greedy randomized adaptive search procedures, an evolutionary algorithm and several estimation of distribution algorithms …”
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Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimation von Kang, Myeongjong

“… We then use the iterated density estimation evolutionary algorithm, a variant of estimation of distribution algorithms, to fit the estimators …”
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Recent progress in natural computation and knowledge discovery: an ICNC’09-FSKD’09 special issue von Wang, Haiying, Chen, Yixin, Deng, Hepu, Wang, Lipo

“… Based on selfish gene theory, the paper authored by Feng Wang, Zhiyi Lin, Cheng Yang, and Yuanxiang Li proposes a novel approach to speed up the statistical learning process in estimation of distribution algorithms (EDAs …”
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Estimation of Bayesian networks algorithms in a class of complex networks von Echegoyen, Carlos, Mendiburu, Alexander, Santana, Roberto, Lozano, Jose A

“… In this paper, we study the behavior of estimation of distribution algorithms (EDAs) in functions whose structure is defined by using different network topologies which include grids, small-world networks and random graphs …”
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