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Combinatorial integral approximation
Sager, Sebastian; Jung, Michael; Kirches, Christian - In: Computational Statistics 73 (2011) 3, pp. 363-380
a novel approach that is based on a decomposition of the MINLP into a NLP and a MILP. We discuss the relation of the … MILP solution to the MINLP solution and formulate bounds for the gap between the two, depending on Lipschitz constants and … the control discretization grid size. The MILP solution can also be used for an efficient initialization of the MINLP …
Persistent link: https://www.econbiz.de/10010759143
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Hydrogen distribution in the refinery using mathematical modeling
Kumar, A.; Gautami, G.; Khanam, S. - In: Energy 35 (2010) 9, pp. 3763-3772
The increased requirement of hydrogen in the refinery is fulfilled by proper distribution of available hydrogen in the refinery, using additional hydrogen production system and by importing. Amongst these options first one is cost effective as no addition source is required. Thus, the present...
Persistent link: https://www.econbiz.de/10010811208
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Stabilizer-based symmetry breaking constraints for mathematical programs
Liberti, Leo; Ostrowski, James - In: Journal of Global Optimization 60 (2014) 2, pp. 183-194
Mathematical programs whose formulation is symmetric often take a long time to solve using Branch-and-Bound type algorithms, because of the several symmetric optima. A simple technique used in these cases is to adjoin symmetry breaking constraints to the formulation before solving the problem....
Persistent link: https://www.econbiz.de/10010994019
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Bound reduction using pairs of linear inequalities
Belotti, Pietro - In: Journal of Global Optimization 56 (2013) 3, pp. 787-819
functions, used in MINLP and MILP. However, it can also be seen as a special case of optimality based bound reduction, a method …-Source solvers: one for MINLP and one for MILP. We provide computational results which substantiate the usefulness of this bound …We describe a procedure to reduce variable bounds in mixed integer nonlinear programming (MINLP) as well as mixed …
Persistent link: https://www.econbiz.de/10010994103
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Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming
Wang, Tong; Lima, Ricardo M.; Giraldi, Loïc; Knio, Omar M. - In: Computers & operations research : and their … 101 (2019), pp. 55-75
Persistent link: https://www.econbiz.de/10011947886
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LinA: a faster approach to piecewise linear approximations using corridors and its application to mixed-integer optimization
Codsi, Julien; Ngueveu, Sandra Ulrich; Gendron, Bernard - 2021
Persistent link: https://www.econbiz.de/10012622246
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Modelling joint outsourcing and offshoring decisions
Kaur, Harpreet; Singh, Surya Prakash; Majumdar, Abhijit - In: International journal of production research 57 (2019) 13, pp. 4278-4309
Persistent link: https://www.econbiz.de/10012193441
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Thermoeconomic optimization of vertical ground-source heat pump systems through nonlinear integer programming
Retkowski, Waldemar; Thöming, Jorg - In: Applied Energy 114 (2014) C, pp. 492-503
a mixed-integer nonlinear programming (MINLP) approach to solve the design problem of a vertical GSHPS is presented. The …
Persistent link: https://www.econbiz.de/10011041321
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Coordination of pricing, advertising, and production decisions for multiple products
Bajwa, Naeem; Sox, Charles R. - In: International journal of services and operations management 22 (2015) 4, pp. 495-521
Persistent link: https://www.econbiz.de/10011459037
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FiberSCIP : a shared memory parallelization of SCIP
Shinano, Yuji; Heinz, Stefan; Vigerske, Stefan; … - In: INFORMS journal on computing : JOC 30 (2018) 1, pp. 11-30
Persistent link: https://www.econbiz.de/10011848117