Results 161 to 170 of about 258 (209)
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Syllabus: Stochastic Models in Operations Research, ISE 3102 (Spring 2021)
2020Probabilistic techniques of operations research. Topics include the applications of Markov chains, queueing and inventory control models to analyze and evaluate systems performance. Other topics include introduction to stochastic processes, review of probability, Markov chains and classification of their states, long-run Markov chains and applications,
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Systems Engineering - Theory & Practice, 2008
Abstract The vehicle routing problem (VRP) with stochastic demand was discussed in this article. The PSO (Particle swarm optimization)-DP (Dynamic programming) algorithm with Inver-over operator was provided to find the priori tour with the minimal expected cost. PSO with Inver-over operator was used to optimize the priori tour.
Yong PENG, Hai-ying ZHU
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Abstract The vehicle routing problem (VRP) with stochastic demand was discussed in this article. The PSO (Particle swarm optimization)-DP (Dynamic programming) algorithm with Inver-over operator was provided to find the priori tour with the minimal expected cost. PSO with Inver-over operator was used to optimize the priori tour.
Yong PENG, Hai-ying ZHU
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2003
Abstract : This Annual Performance/Technical Report documents the research progress made under this grant during the respective time period. Student technical reports task sheets, and instructor evaluations are attached to this report. Key advances in the technical and mentoring aspects of this work are highlighted.
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Abstract : This Annual Performance/Technical Report documents the research progress made under this grant during the respective time period. Student technical reports task sheets, and instructor evaluations are attached to this report. Key advances in the technical and mentoring aspects of this work are highlighted.
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Journal of Mathematical Sciences, 1994
This is a survey concerning the most appropriate numerical methods in nonsmooth and stochastic optimization. It contains the main results in the above field obtained by the author from 1974 up to 1992: the combined method of iterative integral penalty and stochastic quasigradients for semi-infinite optimization, the combined method of iterative penalty,
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This is a survey concerning the most appropriate numerical methods in nonsmooth and stochastic optimization. It contains the main results in the above field obtained by the author from 1974 up to 1992: the combined method of iterative integral penalty and stochastic quasigradients for semi-infinite optimization, the combined method of iterative penalty,
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Stochastic Methods of Operations Research.
Journal of the Royal Statistical Society. Series A (General), 1983W. D. Ray, J. Kohlas
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Operations Research in Sellers Competition — A Stochastic Microtheory
Journal of the Operational Research Society, 1970C. S. van Dobben de Bruyn +1 more
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2007
When a network operator has to decide on the location of network facilities on a territory, realdata has to be considered in order to optimize the locations. The amount of data can be reallyhuge: for example thousands of connected subscribers can be considered for a specific area.
Trampont, Mathieu, Destr?, C.
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When a network operator has to decide on the location of network facilities on a territory, realdata has to be considered in order to optimize the locations. The amount of data can be reallyhuge: for example thousands of connected subscribers can be considered for a specific area.
Trampont, Mathieu, Destr?, C.
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Recent Advances In Stochastic Operations Research Ii
2009Tadashi Dohi +2 more
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Revisiting causality using stochastics: 2. Applications
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022Christian Onof +2 more
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