Search Results - subject:"Monte Carlo sampling"

Multiobjective interacting particle algorithm for global optimization

Mete, Huseyin Onur; Zabinsky, Zelda B. - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 500-513

Persistent link: https://www.econbiz.de/10010399777

A sample average approximation method for disassemblx line balancing problem under uncertainty

Bentaha, Mohand Lounes; Battaïa, Olga; Dolgui, Alexandre - In: Computers & operations research : and their … 51 (2014), pp. 111-122

Persistent link: https://www.econbiz.de/10010408891

A two-phase approach to scheduling multi-category outpatient appointments – A case study of a women’s clinic

Qu, Xiuli; Peng, Yidong; Kong, Nan; Shi, Jing - In: Health Care Management Science 16 (2013) 3, pp. 197-216

measures. To solve the formulated stochastic program, we develop a Monte Carlo sampling based genetic algorithm. The two …

Persistent link: https://www.econbiz.de/10010865028

A two-phase approach to scheduling multi-category outpatient appointments : a case study of a women’s clinic

Qu, Xiuli; Peng, Yidong; Kong, Nan; Shi, Jing - In: Health care management science 16 (2013) 3, pp. 197-216

Persistent link: https://www.econbiz.de/10010127743

Pattern discrete and mixed Hit-and-Run for global optimization

Mete, Huseyin; Shen, Yanfang; Zabinsky, Zelda; … - In: Journal of Global Optimization 50 (2011) 4, pp. 597-627

Persistent link: https://www.econbiz.de/10009324674

A statistical procedure for testing social reciprocity at group, dyadic and individual levels

Leiva, David; Solanas, Antonio; Salafranca, Lluís - In: Quality & Quantity: International Journal of Methodology 44 (2010) 5, pp. 971-984

Persistent link: https://www.econbiz.de/10009391193

Adaptive Polar Sampling: A New MC Technique for the Analysis of Ill-behaved Surfaces

Bauwens, Luc; Bos, Charles S.; Dijk, Herman K. van - Tinbergen Instituut - 1998

This discussion paper resulted in a publication in: (W. Jansen and J.G. Bethlehem eds.) 'Compstat 2000, Statistics Netherlands', 2000, pages 13-14.<P> Adaptive Polar Sampling is proposed as an algorithm where random drawings aredirectly generated from the target function (posterior) in...</p>

Persistent link: https://www.econbiz.de/10011257402

Adaptive Polar Sampling: A New MC Technique for the Analysis of Ill-behaved Surfaces

Bauwens, Luc; Bos, Charles S.; Dijk, Herman K. van - Tinbergen Institute - 1998

Adaptive Polar Sampling is proposed as an algorithm where random drawings are directly generated from the target function (posterior) in all-but-one directions of the parameter space. The method is based on the mixed integration technique of Van Dijk, Kloek & Boender (1985) but extends this one...

Persistent link: https://www.econbiz.de/10005281700

Adaptive polar sampling: a new MC technique for the analysis of ill behaved surfaces

Bauwens, L.; Bos, C.S.; Dijk, H.K. van - Erasmus University Rotterdam, Econometric Institute - 1998

Persistent link: https://www.econbiz.de/10008584752

Adaptive Polar Sampling: A New MC Technique for the Analysis of Ill-behaved Surfaces

Bauwens, Luc; Bos, Charles S.; van Dijk, Herman K. - 1998

Adaptive Polar Sampling is proposed as an algorithm where random drawings aredirectly generated from the target function (posterior) in all-but-onedirections of the parameter space. The method is based on the mixed integrationtechnique of Van Dijk, Kloek & Boender (1985) but extends this one by...

Persistent link: https://www.econbiz.de/10010324425