A mathematical programming formulation for robust production optimization of gas-lifted oil fields

2014 ◽  
pp. 891-896 ◽  
Author(s):  
E Hülse ◽  
E Camponogara
Keyword(s):  
Mathematical Programming ◽  
Production Optimization ◽  
Oil Fields ◽  
Programming Formulation ◽  
Mathematical Programming Formulation

Solving the Overlapping Problem in Route Choice with Paired Combinatorial Logit Model

2003 ◽  
Vol 1857 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Anthony Chen ◽  
Panatda Kasikitwiwat ◽  
Zhaowang Ji
Keyword(s):  
Mathematical Programming ◽  
Logit Model ◽  
Choice Model ◽  
Route Choice ◽  
Similarity Index ◽  
User Equilibrium ◽  
Transportation Systems ◽  
Programming Formulation ◽  
Stochastic User Equilibrium ◽  
Mathematical Programming Formulation

Recently, there has been renewed interest in improving the logit-based route choice model because of the importance of the route choice model in intelligent transportation systems applications, particularly the applications of advanced traveler information systems. The paired combinatorial logit (PCL) model and its equivalent mathematical programming formulation for the route choice problem have been studied. An algorithm based on the partial linearization method is presented for solving the PCL stochastic user equilibrium problem. Detailed examples are provided to explain how this hierarchical logit model resolves the overlapping problem through the similarity index while still accounting for both congestion and stochastic effects in the mathematical programming formulation.

scholarly journals A Mathematical Programming Formulation for the Budding Yeast Cell Cycle

SIMULATION ◽  
2007 ◽  
Vol 83 (7) ◽  
pp. 497-514
Author(s):  
Thomas D. Panning ◽  
Layne T. Watson ◽  
Clifford A. Shaffer ◽  
John J. Tyson
Keyword(s):  
Cell Cycle ◽  
Mathematical Programming ◽  
Yeast Cell ◽  
Budding Yeast ◽  
Yeast Cell Cycle ◽  
Programming Formulation ◽  
Mathematical Programming Formulation ◽  
Budding Yeast Cell Cycle
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