A quadratic network optimization model for equilibrium single commodity trade flows

1978 ◽  
Vol 14 (1) ◽  
pp. 98-107 ◽  
Author(s):  
C. Roger Glassey
Keyword(s):  
Network Optimization ◽  
Optimization Model ◽  
Trade Flows ◽  
Commodity Trade ◽  
Single Commodity

Computing Equilibrium Single Commodity Trade Flows Using Successive Overrelaxation

1989 ◽  
Vol 35 (7) ◽  
pp. 843-850 ◽  
Author(s):  
Faruk Güder ◽  
James G. Morris
Keyword(s):  
Trade Flows ◽  
Successive Overrelaxation ◽  
Commodity Trade ◽  
Single Commodity

Commodity Trade Flows and Volatility

2012 ◽  
Author(s):  
Sumudu W. Watugala
Keyword(s):  
Trade Flows ◽  
Commodity Trade

scholarly journals Evacuation Network Optimization Model with Lane-Based Reversal and Routing

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Xing Zhao ◽  
Zhao-yan Feng ◽  
Yan Li ◽  
Antoine Bernard
Keyword(s):  
Emergency Response ◽  
Network Optimization ◽  
Optimization Model ◽  
Simulated Annealing Algorithm ◽  
Search Algorithm ◽  
Single Arc ◽  
Annealing Algorithm ◽  
Upper Level ◽  
Reversal Design ◽  
Lane Based

Sometimes, the evacuation measure may seem to be the best choice as an emergency response. To enable an efficiency evacuation, a network optimization model which integrates lane-based reversal design and routing with intersection crossing conflict elimination for evacuation is constructed. The proposed bilevel model minimizes the total evacuation time to leave the evacuation zone. A tabu search algorithm is applied to find an optimal lane reversal plan in the upper-level. The lower-level utilizes a simulated annealing algorithm to get two types of “a single arc for an intersection approach” and “multiple arcs for an intersection approach” lane-based route plans with intersection crossing conflict elimination. An experiment of a nine-intersection evacuation zone illustrates the validity of the model and the algorithm. A field case with network topology of Jianye District around the Nanjing Olympics Sports Center is studied to show the applicability of this algorithm.

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