Стохастична оптимізація (Ukrainian Wikipedia)

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

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archive.org

Robbins, H.; Monro, S. (1951). A Stochastic Approximation Method. Annals of Mathematical Statistics. 22 (3): 400—407. doi:10.1214/aoms/1177729586.
J. Kiefer; J. Wolfowitz (1952). Stochastic Estimation of the Maximum of a Regression Function. Annals of Mathematical Statistics. 23 (3): 462—466. doi:10.1214/aoms/1177729392.
Zhigljavsky, A. A. (1991). Theory of Global Random Search. Kluwer Academic. ISBN 978-0-7923-1122-5.

arxiv.org

W. Wenzel; K. Hamacher (1999). Stochastic tunneling approach for global optimization of complex potential energy landscapes. Phys. Rev. Lett. 82 (15): 3003. arXiv:physics/9903008. Bibcode:1999PhRvL..82.3003W. doi:10.1103/PhysRevLett.82.3003.
E. Marinari; G. Parisi (1992). Simulated tempering: A new monte carlo scheme. Europhys. Lett. 19 (6): 451—458. arXiv:hep-lat/9205018. Bibcode:1992EL.....19..451M. doi:10.1209/0295-5075/19/6/002.

doi.org

Fu, M. C. (2002). Optimization for Simulation: Theory vs. Practice. INFORMS Journal on Computing. 14 (3): 192—227. doi:10.1287/ijoc.14.3.192.113.
Robbins, H.; Monro, S. (1951). A Stochastic Approximation Method. Annals of Mathematical Statistics. 22 (3): 400—407. doi:10.1214/aoms/1177729586.
J. Kiefer; J. Wolfowitz (1952). Stochastic Estimation of the Maximum of a Regression Function. Annals of Mathematical Statistics. 23 (3): 462—466. doi:10.1214/aoms/1177729392.
Battiti, Roberto; Gianpietro Tecchiolli (1994). The reactive tabu search (PDF). ORSA Journal on Computing. 6 (2): 126—140. doi:10.1287/ijoc.6.2.126.
Kagan E.; Ben-Gal I. (2014). A Group-Testing Algorithm with Online Informational Learning. IIE Transactions. 46 (2): 164—184. doi:10.1080/0740817X.2013.803639.
W. Wenzel; K. Hamacher (1999). Stochastic tunneling approach for global optimization of complex potential energy landscapes. Phys. Rev. Lett. 82 (15): 3003. arXiv:physics/9903008. Bibcode:1999PhRvL..82.3003W. doi:10.1103/PhysRevLett.82.3003.
E. Marinari; G. Parisi (1992). Simulated tempering: A new monte carlo scheme. Europhys. Lett. 19 (6): 451—458. arXiv:hep-lat/9205018. Bibcode:1992EL.....19..451M. doi:10.1209/0295-5075/19/6/002.
Tavridovich, S. A. (2017). COOMA: an object-oriented stochastic optimization algorithm. International Journal of Advanced Studies. 7 (2): 26—47. doi:10.12731/2227-930x-2017-2-26-47.

harvard.edu

ui.adsabs.harvard.edu

S. Kirkpatrick; C. D. Gelatt; M. P. Vecchi (1983). Optimization by Simulated Annealing. Science. 220 (4598): 671—680. Bibcode:1983Sci...220..671K. PMID 17813860.
W. Wenzel; K. Hamacher (1999). Stochastic tunneling approach for global optimization of complex potential energy landscapes. Phys. Rev. Lett. 82 (15): 3003. arXiv:physics/9903008. Bibcode:1999PhRvL..82.3003W. doi:10.1103/PhysRevLett.82.3003.
E. Marinari; G. Parisi (1992). Simulated tempering: A new monte carlo scheme. Europhys. Lett. 19 (6): 451—458. arXiv:hep-lat/9205018. Bibcode:1992EL.....19..451M. doi:10.1209/0295-5075/19/6/002.

jhuapl.edu

Spall, J. C. (2003). Introduction to Stochastic Search and Optimization. Wiley. ISBN 978-0-471-33052-3.
Spall, J. C. (1992). Multivariate Stochastic Approximation Using a Simultaneous Perturbation Gradient Approximation. IEEE Transactions on Automatic Control. 37 (3): 332—341.

journal-s.org

Tavridovich, S. A. (2017). COOMA: an object-oriented stochastic optimization algorithm. International Journal of Advanced Studies. 7 (2): 26—47. doi:10.12731/2227-930x-2017-2-26-47.

lesswrong.com

http://lesswrong.com/lw/vp/worse_than_random/

nih.gov

pubmed.ncbi.nlm.nih.gov

S. Kirkpatrick; C. D. Gelatt; M. P. Vecchi (1983). Optimization by Simulated Annealing. Science. 220 (4598): 671—680. Bibcode:1983Sci...220..671K. PMID 17813860.

psu.edu

citeseer.ist.psu.edu

S. Kirkpatrick; C. D. Gelatt; M. P. Vecchi (1983). Optimization by Simulated Annealing. Science. 220 (4598): 671—680. Bibcode:1983Sci...220..671K. PMID 17813860.

santafe.edu

D.H. Wolpert; S.R. Bieniawski; D.G. Rajnarayan (2011). Probability Collectives in Optimization. Santa Fe Institute.

sls-book.net

Holger H. Hoos and Thomas Stützle, Stochastic Local Search: Foundations and Applications, Morgan Kaufmann / Elsevier, 2004.

uiuc.edu

www-illigal.ge.uiuc.edu

Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley. ISBN 978-0-201-15767-3. Архів оригіналу за 19 липня 2006. [Архівовано 2006-07-19 у Wayback Machine.]

unitn.it

rtm.science.unitn.it

Battiti, Roberto; Gianpietro Tecchiolli (1994). The reactive tabu search (PDF). ORSA Journal on Computing. 6 (2): 126—140. doi:10.1287/ijoc.6.2.126.

web.archive.org

Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley. ISBN 978-0-201-15767-3. Архів оригіналу за 19 липня 2006. [Архівовано 2006-07-19 у Wayback Machine.]