Mathematical mixed-integer programming for solving a new optimization model of selective image restoration: modelling and resolution by CHN and GA

2018 ◽  
Vol 38 (5) ◽  
pp. 2072-2096 ◽  
Author(s):  
Nour-eddine Joudar ◽  
Mohamed Ettaouil
2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Zhibin Jiang ◽  
Yuyan Tan ◽  
Özgür Yalçınkaya

This paper deals with the problem of scheduling additional train unit (TU) services in a double parallel rail transit line, and a mixed integer programming (MIP) model is formulated for integration strategies of new trains connected by TUs with the objective of obtaining higher frequencies in some special sections and special time periods due to mass passenger volumes. We took timetable scheduling and TUs scheduling as an integrated optimization model with two objectives: minimizing travel times of additional trains and minimizing shifts of initial trains. We illustrated our model using computational experiments drawn from the real rail transit line 16 in Shanghai and reached results which show that rail transit agencies can obtain a reasonable new timetable for different managerial goals in a matter of seconds, so the model is well suited to be used in daily operations.


2020 ◽  
Vol 4 (1) ◽  
pp. 12
Author(s):  
Yujie Jiang ◽  
Shizhong Ma ◽  
Shilong Zhu

In order to cope with the disasters caused by the worst hurricane in Puerto Rico in 2017, it is necessary to build an emergency system to reduce the losses. An emergency system should include the location of ISO standard dry cargo containers and the distribution of emergency medical packages. This paper discusses the distribution of emergency medical package. Based on the above location results of ISO standard dry cargo container, taking the demand of disaster areas not exceed its supply into consideration and considering the timeliness and weak economy, a multi-objective mixed integer programming model is constructed on the premise of minimum transportation time and cost. It is determined that the drone fleet consists of four B, one C and one F drones. Through the optimization model, the distribution plan of emergency medical packages is formulated.


2009 ◽  
Vol 35 (2) ◽  
pp. 180-185
Author(s):  
Mi ZHAO ◽  
Zhi-Wu LI ◽  
Na WEI

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