[HTML][HTML] A survey on bilevel optimization under uncertainty
Bilevel optimization is a very active field of applied mathematics. The main reason is that
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …
[HTML][HTML] Uncertainty in maritime ship routing and scheduling: A Literature review
The area of maritime transportation optimization has recently begun to achieve increasing
success at solving large scale models, and industry is steadily adopting operations research …
success at solving large scale models, and industry is steadily adopting operations research …
A survey of network interdiction models and algorithms
This paper discusses the development of interdiction optimization models and algorithms,
with an emphasis on mathematical programming techniques and future research challenges …
with an emphasis on mathematical programming techniques and future research challenges …
[Књига][B] Integer programming
LA Wolsey - 2020 - books.google.com
A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER
VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming …
VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming …
Integrated optimization of location, inventory and routing in supply chain network design
X Zheng, M Yin, Y Zhang - Transportation Research Part B: Methodological, 2019 - Elsevier
We study the integrated optimization of location, inventory and routing in supply chain
network design (SCDN) problem. The SCND decision has significant impact on the …
network design (SCDN) problem. The SCND decision has significant impact on the …
Increased surgical capacity without additional resources: Generalized operating room planning and scheduling
We study a generalized operating room planning and scheduling (GORPS) problem at the
Toronto General Hospital (TGH) in Ontario, Canada. GORPS allocates elective patients and …
Toronto General Hospital (TGH) in Ontario, Canada. GORPS allocates elective patients and …
Accelerating the Benders decomposition method: Application to stochastic network design problems
This paper describes a Benders decomposition algorithm capable of efficiently solving large-
scale instances of the well-known multicommodity capacitated network design problem with …
scale instances of the well-known multicommodity capacitated network design problem with …
A stochastic programming approach for locating and dispatching two types of ambulances
Emergency Medical Service systems aim to respond to emergency calls in a timely manner
and provide prehospital care to patients. This paper addresses the problem of locating …
and provide prehospital care to patients. This paper addresses the problem of locating …
Theoretical challenges towards cutting-plane selection
While many classes of cutting-planes are at the disposal of integer programming solvers, our
scientific understanding is far from complete with regards to cutting-plane selection, ie, the …
scientific understanding is far from complete with regards to cutting-plane selection, ie, the …
Stochastic last-mile delivery with crowd-ship** and mobile depots
This paper proposes a two-tier last-mile delivery model that optimally selects mobile depot
locations in advance of full information about the availability of crowd-shippers and then …
locations in advance of full information about the availability of crowd-shippers and then …