Distributionally Robust Optimization with Polynomial Robust Constraints
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Jiawang Nie, Suhan Zhong
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Distributionally Robust Chance Constrained Geometric Optimization
In this talk, we discuss distributionally robust geometric programs with individual and joint chance constraints. We consider three groups of uncertainty sets, namely uncertainty sets with known two first order moments information, uncertainty sets ...
Lisser, Abdel
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A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
Aiming at route optimization problem of hazardous materials transportation in uncertain environment, this paper presents a multiobjective robust optimization model by taking robust control parameters into consideration.
Changxi Ma +3 more
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Deterministic and Robust Optimization Approach for Single Artillery Unit Fire Scheduling Problem
In this study, deterministic and robust optimization models for single artillery unit fire scheduling are developed to minimize the total enemy threat to friendly forces by considering the enemy target threat level, enemy target destruction time, and ...
Yong Baek Choi +2 more
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09041 Abstracts Collection – Hybrid and Robust Approaches to Multiobjective Optimization [PDF]
The seminar "Hybrid and Robust Approaches to Multiobjective Optimization" was a sequel to two previous Dagstuhl seminars (04461 in 2004 and 06501 in 2006).
Zitzler, Eckart +3 more
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Recoverable robust optimization with commitment
Abstract We propose a model for recoverable robust optimization with commitment . Given a combinatorial optimization problem and uncertainty about elements that may fail, we ask for a robust solution that, after the failing elements are revealed, can be augmented in a ...
Felix Hommelsheim +3 more
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Robust Optimization of a MEMS Accelerometer Considering Temperature Variations
A robust optimization approach for a MEMS accelerometer to minimize the effects of temperature variations is presented. The mathematical model of the accelerometer is built.
Guangjun Liu +3 more
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Distributionally Robust Stochastic and Online Optimization
We present decision/optimization models/problems driven by uncertain and online data, and show how analytical models and computational algorithms can be used to achieve solution efficiency and near optimality.
Ye, Yinyu
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Robust production optimization of gas-lifted oil fields [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2015.Com a crescente demanda por energia fóssil as operadoras petrolíferas têm buscado ...
Hülse, Eduardo Otte
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Robust Counterparts of Inequalities Containing Sums of Maxima of Linear Functions [PDF]
This paper adresses the robust counterparts of optimization problems containing sums of maxima of linear functions and proposes several reformulations. These problems include many practical problems, e.g.
Gorissen, B.L., Hertog, D. den
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