A decomposition-based pricing method for solving a large-scale MILP model for an integrated fishery.
Hasan, M.Babul, Raffensperger, John F. (2007)
Journal of Applied Mathematics and Decision Sciences
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Hasan, M.Babul, Raffensperger, John F. (2007)
Journal of Applied Mathematics and Decision Sciences
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Khawaja, M.Sami (1999)
Journal of Applied Mathematics and Decision Sciences
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Lazo Roljić (2002)
The Yugoslav Journal of Operations Research
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Basil D. Manos (1993)
The Yugoslav Journal of Operations Research
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Mauro Mobilia, Tobias Reichenbach, Hauke Hinsch, Thomas Franosch, Erwin Frey (2008)
Banach Center Publications
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Nonequilibrium collective motion is ubiquitous in nature and often results in a rich collection of intriguing phenomena, such as the formation of shocks or patterns, subdiffusive kinetics, traffic jams, and nonequilibrium phase transitions. These stochastic many-body features characterize transport processes in biology, soft condensed matter and, possibly, also in nanoscience. Inspired by these applications, a wide class of lattice-gas models has recently been considered. Building on...
Yiran Xue, Peng Liu, Ye Tao, Xianglong Tang (2017)
International Journal of Applied Mathematics and Computer Science
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In the field of intelligent crowd video analysis, the prediction of abnormal events in dense crowds is a well-known and challenging problem. By analysing crowd particle collisions and characteristics of individuals in a crowd to follow the general trend of motion, a purpose-driven lattice Boltzmann model (LBM) is proposed. The collision effect in the proposed method is measured according to the variation in crowd particle numbers in the image nodes; characteristics of the crowd following...
Wim G. Van Hulst, Jan Th. Van Lieshout (1977)
RAIRO - Operations Research - Recherche Opérationnelle
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Ajtai, Miklós (1998)
Documenta Mathematica
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Monia Rekik, Jean-François Cordeau, François Soumis (2008)
RAIRO - Operations Research
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This paper considers large shift scheduling problems with different shift start times and lengths, fractionable breaks and work stretch duration restrictions. Two solution approaches are proposed to solve the problems over a multiple-day planning horizon. The first approach is based on a local branching strategy and the second one is based on a temporal decomposition of the problem. Local branching is very efficient in finding good feasible solutions when compared to a classical branch-and-bound...
James K. Ho, Étienne Loute (1984)
RAIRO - Operations Research - Recherche Opérationnelle
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Carmen Gervet, Mohammad Atef (2013)
RAIRO - Operations Research - Recherche Opérationnelle
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Applied research into Renewable Energies raises complex challenges of a technological, economical or political nature. In this paper, we address the techno−economical optimization problem of selecting locations of wind and solar Parks to be built in Egypt, such that the electricity demand is satisfied at minimal costs. Ultimately, our goal is to build a decision support tool that will provide private and governmental investors into renewable energy systems, valuable insights to make...