Surgical case scheduling problem with fuzzy surgery time: An advanced bi-objective ant system approach

2019 ◽  
Vol 186 ◽  
pp. 104913 ◽  
Author(s):  
Reza Behmanesh ◽  
Mostafa Zandieh
2018 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Reza Behmanesh ◽  
Mostafa Zandieh ◽  
Seyyed Mohammad Hadji Molana

2011 ◽  
Vol 58 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Hadi Mokhtari ◽  
Reza Baradaran Kazemzadeh ◽  
Ali Salmasnia

Author(s):  
Chaozhe R. He ◽  
Wubing B. Qin ◽  
Necmiye Ozay ◽  
Gábor Orosz

In this paper, we present a systematic design for gear shifting using a hybrid system approach. The longitudinal motion of the vehicle is regulated by a PI-controller that determines the required axle torque. The gear scheduling problem is modeled as a hybrid system and an optimization-based gear shifting strategy is introduced, which guarantees that the propulsion requirements are delivered while minimizing fuel consumption. The resulting dynamics is proved to be stable theoretically. In a case study, we compare our strategy with a standard approach used in the industry and demonstrate the advantages of our design for class 8 trucks.


2013 ◽  
Vol 438-439 ◽  
pp. 1979-1982
Author(s):  
Fei Wei ◽  
Zheng Yi Ge ◽  
Zhi Wei Zhang

According to the delivery situation of perishable products in retail enterprises distribution centers, considering a service time limit, the paper establishes a model and applies max-min ant system to solve vehicle scheduling problem with hard time windows to minimize distribution costs of perishable goods. Besides, the paper uses a case to demonstrate the feasibility of this model.


Sign in / Sign up

Export Citation Format

Share Document