Мета-оптимізація (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Мета-оптимізація" in Ukrainian language version.

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diva-portal.org

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Krus, PK.; Ölvander(Andersson), J. (2013). Performance index and meta-optimization of a direct search optimization method (PDF). Engineering Optimization. 45 (10): 1167—1185. Bibcode:2013EnOp...45.1167K. doi:10.1080/0305215X.2012.725052. S2CID 62731978.

doi.org

Mercer, R.E.; Sampson, J.R. (1978). Adaptive search using a reproductive metaplan. Kybernetes. 7 (3): 215—228. doi:10.1108/eb005486.
Grefenstette, J.J. (1986). Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics. 16 (1): 122—128. doi:10.1109/TSMC.1986.289288. S2CID 23313487.
Keane, A.J. (1995). Genetic algorithm optimization in multi-peak problems: studies in convergence and robustness. Artificial Intelligence in Engineering. 9 (2): 75—83. doi:10.1016/0954-1810(95)95751-Q.
Krus, PK.; Ölvander(Andersson), J. (2013). Performance index and meta-optimization of a direct search optimization method (PDF). Engineering Optimization. 45 (10): 1167—1185. Bibcode:2013EnOp...45.1167K. doi:10.1080/0305215X.2012.725052. S2CID 62731978.
Meissner, M.; Schmuker, M.; Schneider, G. (2006). Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training. BMC Bioinformatics. 7 (1): 125. doi:10.1186/1471-2105-7-125. PMC 1464136. PMID 16529661.{{cite journal}}: Обслуговування CS1: Сторінки із непозначеним DOI з безкоштовним доступом (посилання)
Pedersen, M.E.H.; Chipperfield, A.J. (2010). Simplifying particle swarm optimization. Applied Soft Computing. 10 (2): 618—628. CiteSeerX 10.1.1.149.8300. doi:10.1016/j.asoc.2009.08.029.
Mason, Karl; Duggan, Jim; Howley, Enda (2018). A Meta Optimisation Analysis of Particle Swarm Optimisation Velocity Update Equations for Watershed Management Learning. Applied Soft Computing. 62: 148—161. doi:10.1016/j.asoc.2017.10.018.
Francois, O.; Lavergne, C. (2001). Design of evolutionary algorithms - a statistical perspective. IEEE Transactions on Evolutionary Computation. 5 (2): 129—148. doi:10.1109/4235.918434.

harvard.edu

ui.adsabs.harvard.edu

Krus, PK.; Ölvander(Andersson), J. (2013). Performance index and meta-optimization of a direct search optimization method (PDF). Engineering Optimization. 45 (10): 1167—1185. Bibcode:2013EnOp...45.1167K. doi:10.1080/0305215X.2012.725052. S2CID 62731978.

nih.gov

ncbi.nlm.nih.gov

Meissner, M.; Schmuker, M.; Schneider, G. (2006). Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training. BMC Bioinformatics. 7 (1): 125. doi:10.1186/1471-2105-7-125. PMC 1464136. PMID 16529661.{{cite journal}}: Обслуговування CS1: Сторінки із непозначеним DOI з безкоштовним доступом (посилання)

pubmed.ncbi.nlm.nih.gov

Meissner, M.; Schmuker, M.; Schneider, G. (2006). Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training. BMC Bioinformatics. 7 (1): 125. doi:10.1186/1471-2105-7-125. PMC 1464136. PMID 16529661.{{cite journal}}: Обслуговування CS1: Сторінки із непозначеним DOI з безкоштовним доступом (посилання)

psu.edu

citeseerx.ist.psu.edu

Pedersen, M.E.H.; Chipperfield, A.J. (2010). Simplifying particle swarm optimization. Applied Soft Computing. 10 (2): 618—628. CiteSeerX 10.1.1.149.8300. doi:10.1016/j.asoc.2009.08.029.

researchgate.net

Birattari, M.; Stützle, T.; Paquete, L.; Varrentrapp, K. (2002). A racing algorithm for configuring metaheuristics. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). с. 11—18.

semanticscholar.org

api.semanticscholar.org

Grefenstette, J.J. (1986). Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics. 16 (1): 122—128. doi:10.1109/TSMC.1986.289288. S2CID 23313487.
Krus, PK.; Ölvander(Andersson), J. (2013). Performance index and meta-optimization of a direct search optimization method (PDF). Engineering Optimization. 45 (10): 1167—1185. Bibcode:2013EnOp...45.1167K. doi:10.1080/0305215X.2012.725052. S2CID 62731978.
Pedersen, M.E.H. (2010). Tuning & Simplifying Heuristical Optimization (PDF) (PhD thesis). University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group. S2CID 107805461. Архів оригіналу (PDF) за 13 лютого 2020.

pdfs.semanticscholar.org

Pedersen, M.E.H. (2010). Tuning & Simplifying Heuristical Optimization (PDF) (PhD thesis). University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group. S2CID 107805461. Архів оригіналу (PDF) за 13 лютого 2020.

uib.es

srv.uib.es

Nannen, V.; Eiben, A.E. (2006). A method for parameter calibration and relevance estimation in evolutionary algorithms (PDF). Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation (GECCO). с. 183—190.

ulb.ac.be

iridia.ulb.ac.be

Birattari, M. (2004). The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective (PDF) (PhD thesis). Université Libre de Bruxelles.

vu.nl

few.vu.nl

Smit, S.K.; Eiben, A.E. (2009). Comparing parameter tuning methods for evolutionary algorithms (PDF). Proceedings of the IEEE Congress on Evolutionary Computation (CEC). с. 399—406.

web.archive.org

Pedersen, M.E.H. (2010). Tuning & Simplifying Heuristical Optimization (PDF) (PhD thesis). University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group. S2CID 107805461. Архів оригіналу (PDF) за 13 лютого 2020.