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A two-stage simulation optimization heuristic for robust design
IEEE International Conference on Systems, Man and Cybernetics, 2003The optimization of simulation models is generally performed with fixed environmental conditions. However, in practice disturbances can modify the expected environment (modification of the part mix or of the customer orders In a manufacturing systems, etc.). In order to provide solutions that are robust w. r. t.
Pierreval, Henri, Durieux, S.
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Robust moving object segmentation with two-stage optimization
The First Asian Conference on Pattern Recognition, 2011Inspired by interactive segmentation algorithms, we propose an online and unsupervised technique to extract moving objects from videos captured by stationary cameras. Our method consists of two main optimization steps, from local optimal extraction to global optimal segmentation.
Jianwei Ding +3 more
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Two-Stage Distributionally Robust Optimization for Energy Hub Systems
IEEE Transactions on Industrial Informatics, 2020Energy hub system (EHS) incorporating multiple energy carriers, storage, and renewables can efficiently coordinate various energy resources to optimally satisfy energy demand. However, the intermittency of renewable generation poses great challenges on optimal EHS operation. This article proposes an innovative distributionally robust optimization model
Pengfei Zhao 0021 +4 more
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Stochastic Decomposition Method for Two-Stage Distributionally Robust Linear Optimization
SIAM Journal on Optimization, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Harsha Gangammanavar, Manish Bansal
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Toward Optimal Energy Management of Microgrids via Robust Two-Stage Optimization
IEEE Transactions on Smart Grid, 2018This paper considers energy management in a grid-connected microgrid which has multiple conventional generators (CGs), renewable generators and energy storage systems (ESSs). A robust two-stage optimization approach is presented to schedule the energy generation under uncertainties, aimed at minimizing the long-term average operating cost subject to ...
Wuhua Hu, Ping Wang 0001, Hoay Beng Gooi
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Robust Two-Stage and Multistage Optimization
2016This chapter is intended as an overview of robust optimization models related to optimization problems subject to uncertain data, with special focus on the case when uncertainty impacts the right-hand side coefficients in the constraints. Two-stage as well as multistage models are addressed, emphasizing links with applications and computational ...
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Two-Stage Robust Combinatorial Optimization with Priced Scenarios
2014Two-stage robust combinatorial optimization is an established methodology for handling combinatorial optimization problems with uncertain input. Without knowing the actual data, a partial solution needs to be fixed in the first stage which is then extended to a feasible solution in the second stage at higher cost once the data is revealed.
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Robust two-stage optimization consensus models with uncertain costs
European Journal of Operational ResearchzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huanhuan Li 0003 +6 more
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Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization
2010The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples with minimal reconstruction errors from learned template subspace. However, the computational cost makes it unsuitable to utilize high dimensional advanced features which are often ...
Baiyang Liu +5 more
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Saddle point approximation approaches for two-stage robust optimization problems
Journal of Global Optimization, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ning Zhang, Chang Fang
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