Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yufen Shao"'
Autor:
Agustín F. Montagna, Diego C. Cafaro, Ignacio E. Grossmann, Ozgur Ozen, Yufen Shao, Ti Zhang, Yuanyuan Guo, Xiao-Hui Wu, Kevin C. Furman
Publikováno v:
Optimization and Engineering.
Publikováno v:
Day 2 Tue, November 01, 2022.
With ever-increasing complexity in Upstream project planning, to ensure decision quality, the dynamics of subsurface resources need to be embedded into concept screening to maintain consistency between the production forecast and development plan. We
Autor:
Yufen Shao, Jizhou Li, Ming–Jung Seow, Yuzixuan Zhu, Yuanyuan Guo, Daman Pradhan, Deepak Malpani, Kevin Furman
Publikováno v:
Day 3 Wed, November 02, 2022.
Decision-making complexity in the oil and gas industry has risen dramatically in recent years, especially in consideration of uncertainties related to geopolitics, policies, marketing, subsurface resources etc. To enable decision making with the best
Autor:
Dimitri J. Papageorgiou, Yufen Shao, David A. Bader, Lluís-Miquel Munguía, Shabbir Ahmed, George L. Nemhauser
Publikováno v:
Computers & Operations Research. 111:21-34
Parallel Alternating Criteria Search (PACS) relies on the combination of computer parallelism and Large Neighborhood Searches to attempt to deliver high quality solutions to any generic Mixed-Integer Program (MIP) quickly. While general-purpose prima
Autor:
Agustín F. Montagna, Diego C. Cafaro, Ignacio E. Grossmann, Damian Burch, Yufen Shao, Xiao-Hui Wu, Kevin Furman
Publikováno v:
Optimization and Engineering.
Publikováno v:
European Journal of Operational Research. 263:62-71
We present a new framework for finding feasible solutions to mixed integer programs (MIP). We use the feasibility pump heuristic coupled to a biased random-key genetic algorithm (BRKGA). The feasibility pump heuristic attempts to find a feasible solu
Publikováno v:
Computational Optimization and Applications. 69:1-24
We present a parallel large neighborhood search framework for finding high quality primal solutions for general mixed-integer programs (MIPs). The approach simultaneously solves a large number of sub-MIPs with the dual objective of reducing infeasibi
Autor:
David A. Bader, Lluís-Miquel Munguía, Shabbir Ahmed, Yufen Shao, George L. Nemhauser, Vikas Goel
Publikováno v:
Computers & Operations Research. 77:44-57
We present a parallel local search approach for obtaining high quality solutions to the Fixed Charge Multicommodity Network Flow problem (FCMNF). The approach proceeds by improving a given feasible solution by solving restricted instances of the prob
Publikováno v:
Transportation Research Part C: Emerging Technologies. 53:151-171
As liquefied natural gas (LNG) steadily grows to be a common mode for commercializing natural gas, LNG supply chain optimization is becoming a key technology for gas companies to maintain competitiveness. This paper develops methods for improving the
Publikováno v:
European Journal of Operational Research. 241:662-673
We propose a constraint programming approach for the optimization of inventory routing in the liquefied natural gas industry. We present two constraint programming models that rely on a disjunctive scheduling representation of the problem. We also pr