Showing 21 - 40 of 226

21

An Advanced Power System Modeling Approach for Transformer Oil Temperature Prediction Integrating SOFTS and Enhanced Bayesian Optimization.
Tong, Zhixiang ; Xu, Yan ; Meng, Xianyu ; et al.
Processes; Sep2025, Vol. 13 Issue 9, p2888, 22p

PREDICTION algorithms FORECASTING MACHINE learning FEATURE selection MATHEMATICAL optimizatio... SIGNAL processing
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22

Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms.
Feldman, D. V.
Choice: Current Reviews for Academic Libraries. Jan2006, Vol. 43 Issue 5, p889-889. 1/5p.

Bayesian analysis Nonfiction Hierarchical Bayesian Op... Pelikan, Martin
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23

Parameter-less population pyramid for large-scale tower optimization
Gandomi, Amir H. ; Goldman, Brian W.
In Expert Systems With Applications 15 April 2018 96:175-184

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24

Military Antenna Design Using Simple and Competent Genetic Algorithms
Altshuler, Edward E. ; Goldberg, David E. ; Mailloux, Robert ; et al.
DTIC AND NTIS

Electrical and Electroni... Numerical Mathematics ALGORITHMS OPTIMIZATION ANTENNA ARRAYS BROADBAND ANTENNAS
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25

Hierarchical Bayesian optimization algorithm: toward a new generation of evolutionary algorithms.
Pelikan, M. ; Goldberg, D.E. ; Tsutsui, S.
SICE 2003 Annual Conference (IEEE Cat. No.03TH8734); 2003, p2738-2738, 1p

Conference
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27

A Java Implementation of Parameter-less Evolutionary Algorithms
Pereira, José C. ; Lobo, Fernando G.

Computer Science - Mathe... Computer Science - Neura... I.2.8
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28

Military Antenna Design Using Simple and Competent Genetic Algorithms
AIR FORCE RESEARCH LAB HANSCOM AFB MA SENSORS DIRECTORATE ; Altshuler, Edward E. ; Goldberg, David E. ; et al.
DTIC AND NTIS

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29

Parameter-less population pyramid for large-scale tower optimization
Gandomi, AH ; Goldman, BW ; Gandomi, AH ; et al.

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31

Information theory-based decision support system for integrated design of multivariable hydrometric networks.
Keum, Jongho ; Coulibaly, Paulin
Water Resources Research; Jul2017, Vol. 53 Issue 7, p6239-6259, 21p

DECISION support systems HYDRAULIC measurements HYDROLOGIC cycle
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32

A Java Implementation of the SGA, UMDA, ECGA, and HBOA
Pereira, José C. ; Lobo, Fernando G. ; Pereira, José C. ; et al.

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33

Java Implementation of a Parameter-less Evolutionary Portfolio
Pereira, José C. ; Lobo, Fernando G. ; Pereira, José C. ; et al.

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34

Performance of Network Crossover on NK Landscapes and Spin Glasses.
Hauschild, Mark ; Pelikan, Martin
Parallel Problem Solving From Nature - PPSN XI (9783642158704); 2011, p462-471, 10p

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35

Linkage Learning in Estimation of Distribution Algorithms.
Coffin, David ; Smith, Robert E.
Linkage in Evolutionary Computation; 2008, p141-156, 16p

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36

Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions.
Hauschild, Mark ; Pelikan, Martin
Parallel Problem Solving From Nature - Ppsn X; 2008, p417-427, 11p

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37

Decomposition of Dynamic Single-Product and Multi-product Lotsizing Problems and Scalability of EDAs.
Grahl, Jörn ; Minner, Stefan ; Rothlauf, Franz
Advances in Computational Intelligence in Transport, Logistics & Supply Chain Management; 2008, p231-251, 21p

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38

Performance of Evolutionary Algorithms on Random Decomposable Problems.
Runarsson, Thomas Philip ; Beyer, Hans-Georg ; Burke, Edmund ; et al.
Parallel Problem Solving from Nature - PPSN IX; 2006, p788-797, 10p

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39

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.
Runarsson, Thomas Philip ; Beyer, Hans-Georg ; Burke, Edmund ; et al.
Parallel Problem Solving from Nature - PPSN IX; 2006, p122-131, 10p

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40

Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA
Pelikan, Martin ; Hauschild, Mark W. ; Lanzi, Pier Luca ; et al.

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