Results 41 to 50 of about 341,237 (307)

A hybrid physical-data approach for solving dynamic optimal power flow considering uncertainties and different topology configurations

open access: yesEnergy Reports, 2023
The security and economy of power system operation or planning are threatened by various uncertain factors, including the unpredictability of renewable energy, the variation of topology configurations, and significant load fluctuation.
Liqin Zheng   +3 more
doaj   +1 more source

A global optimization approach for the linear two-level program [PDF]

open access: yes, 1993
Linear two-level programming deals with optimization problems in which the constraint region is implicity determined by another optimization problem. Mathematical programs of this type arise in connection with policy problems to which the Stackelberg ...
Tuy, Hoang,   +2 more
core   +1 more source

Optimal design for the connector of bridge prefabricated concrete barriers

open access: yesScience Progress, 2021
The current optimization research on the connectors of prefabricated barriers uses experimental comparisons only and lacks theoretically based optimization methods as guidance.
Xiaolin Yu   +5 more
doaj   +1 more source

Two-Stage Robust Optimization of Water Treatment Network Design and Operations under Uncertainty [PDF]

open access: yes, 2019
This paper presents a study of two-stage adaptive nonlinear robust optimization in dealing with uncertainty in the optimal design and operation of water treatment systems.
Zukui Li (2083144)   +1 more
core   +1 more source

A machine learning approach to two-stage adaptive robust optimization

open access: yesEuropean Journal of Operational Research
We propose an approach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty sets. We encode the optimal here-and-now decisions, the worst-case scenarios associated with the optimal here-and-now decisions, and the optimal wait-and-see decisions into ...
Dimitris Bertsimas, Cheol Woo Kim
openaire   +2 more sources

Two-Sided Matching with Bounded Rationality: A Stochastic Framework for Personnel Selection

open access: yesMathematics
Personnel selection represents a two-sided matching problem in which firms compete for qualified candidates by designing job-offer packages. While traditional models assume fully rational agents, real-world decision-makers often face bounded rationality ...
Saeed Najafi-Zangeneh   +2 more
doaj   +1 more source

Multi-Objective Optimization of a Two-Stage Helical Gearbox Using Taguchi Method and Grey Relational Analysis

open access: yesApplied Sciences, 2023
This paper presents a novel approach to solve the multi-objective optimization problem designing a two-stage helical gearbox by applying the Taguchi method and the grey relation analysis (GRA).
Xuan-Hung Le, Ngoc-Pi Vu
doaj   +1 more source

A Hybrid Genetic Algorithm for a Two-Stage Stochastic Portfolio Optimization With Uncertain Asset Prices [PDF]

open access: yes, 2015
Portfolio optimization is one of the most important problems in the finance field. The traditional mean-variance model has its drawbacks since it fails to take the market uncertainty into account.
Cui, T.   +17 more
core   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye   +33 more
wiley   +1 more source

Robust two-stage stochastic linear programs with moment constraints [PDF]

open access: yes, 2014
We consider the two-stage stochastic linear programming model, in which the recourse function is a worst case expected value over a set of probabilistic distributions. These distributions share the same first- and second-order moments.
Kong, L.   +4 more
core   +2 more sources

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