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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

Combinatorial integral approximation

Sager, Sebastian; Jung, Michael; Kirches, Christian - In: Mathematical Methods of Operations Research 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/10010949939

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

Combinatorial integral approximation

Sager, Sebastian; Jung, Michael; Kirches, Christian - In: Computational Statistics 73 (2011) 3, pp. 363-380

Persistent link: https://www.econbiz.de/10010759143

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

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

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

Optimization of capacity expansion in potential-driven networks including multiple looping: a comparison of modelling approaches

Lenz, Ralf; Becker, Kai Helge - In: OR Spectrum 44 (2021) 1, pp. 179-224

In commodity transport networks such as natural gas, hydrogen and water networks, flows arise from nonlinear potential differences between the nodes, which can be represented by so-called potential-driven network models. When operators of these networks face increasing demand or the need to...

Persistent link: https://www.econbiz.de/10014497467

Optimal distributed energy resources planning in a competitive electricity market: Multiobjective optimization and probabilistic design

Vahidinasab, Vahid - In: Renewable Energy 66 (2014) C, pp. 354-363

This paper presents a probabilistic multiobjective framework for optimal distributed energy resources (DERs) planning in the distribution electricity networks. The proposed model is from the distribution company (DISCO) viewpoint. The projected formulation is based on nonlinear programming (NLP)...

Persistent link: https://www.econbiz.de/10010805265

Aircraft deconfliction with speed regulation: new models from mixed-integer optimization

Cafieri, Sonia; Durand, Nicolas - In: Journal of Global Optimization 58 (2014) 4, pp. 613-629

Detecting and solving aircraft conflicts, which occur when aircraft sharing the same airspace are too close to each other according to their predicted trajectories, is a crucial problem in Air Traffic Management. We focus on mixed-integer optimization models based on speed regulation. We first...

Persistent link: https://www.econbiz.de/10010896384