Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hossein Hashemi Doulabi"'
Publikováno v:
Journal of the Operational Research Society. :1-16
Publikováno v:
INFORMS Journal on Computing. 34:354-369
This paper considers a class of two-stage stochastic mixed-integer optimization problems where, for a given first-stage solution, we can determine the optimal values of recourse variables sequentially. This class of problems arises in a wide variety
Publikováno v:
International Journal of Production Research. :1-17
Since the beginning of COVID-19, more than 13,036,550 people have been infected, and 571,574 died because of the disease by July 13, 2020. Developing new methodologies to predict the COVID-19 pande...
Publikováno v:
MIT web domain
This paper addresses a class of two-stage robust optimization models with an exponential number of scenarios given implicitly. We apply Dantzig–Wolfe decomposition to exploit the structure of these models and show that the original problem reduces
Publikováno v:
Annals of Operations Research.
World Health Organization (WHO) declared COVID-19 as a pandemic On March 12, 2020. Up to January 13, 2022, 320,944,953 cases of infection and 5,539,160 deaths have been reported worldwide. COVID-19 has negatively impacted the blood supply chain by dr
Publikováno v:
Annals of Operations Research.
Publikováno v:
Transportation Science. 54:1053-1072
This paper, for the first time, studies vehicle routing problems with synchronized visits (VRPS) and stochastic travel and service times. In addition to considering a home healthcare scheduling problem, we introduce an operating room scheduling probl
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
In December 2020, a new strain of coronavirus was found in Wuhan, China. The virus causes COVID-19, a severe respiratory illness. Up to date, the virus has spread rapidly to many countries, and more than 103 million cases and 2 million death has been
Autor:
Hossein Hashemi Doulabi, Arian Andam
Publikováno v:
ICPHM
Because of the importance of operating room management in hospitals, many researchers have attempted to develop mathematical programming models to use the available time in operating rooms as efficiently as possible. However, almost all researchers h
Autor:
Gerhard-Wilhelm Weber, Aybike Özyüksel Çiftçioğlu, Soheyl Khalilpourazari, Hossein Hashemi Doulabi
Publikováno v:
Expert Systems with Applications
This research proposes a new type of Grey Wolf optimizer named Gradient-based Grey Wolf Optimizer (GGWO). Using gradient information, we accelerated the convergence of the algorithm that enables us to solve well-known complex benchmark functions opti