Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Wächter, Andreas"'
Autor:
Dezfulian, Shima, Wächter, Andreas
We analyze the convergence properties of a modified barrier method for solving bound-constrained optimization problems where evaluations of the objective function and its derivatives are affected by bounded and non-diminishing noise. The only modific
Externí odkaz:
http://arxiv.org/abs/2405.11400
Publikováno v:
Proceedings of the 2021 Winter Simulation Conference
In their 2004 seminal paper, Glynn and Juneja formally and precisely established the rate-optimal, probability-of-incorrect-selection, replication allocation scheme for selecting the best of k simulated systems. In the case of independent, normally d
Externí odkaz:
http://arxiv.org/abs/2302.02254
Conventional electric power systems are composed of different unidirectional power flow stages of generation, transmission, and distribution, managed independently by transmission system and distribution system operators. However, as distribution sys
Externí odkaz:
http://arxiv.org/abs/2210.16378
Autor:
Luo, Xinyi, Waechter, Andreas
We propose a new method for linear second-order cone programs. It is based on the sequential quadratic programming framework for nonlinear programming. In contrast to interior point methods, it can capitalize on the warm-start capabilities of active-
Externí odkaz:
http://arxiv.org/abs/2207.03082
Autor:
Aravena, Ignacio, Molzahn, Daniel K., Zhang, Shixuan, Petra, Cosmin G., Curtis, Frank E., Tu, Shenyinying, Wächter, Andreas, Wei, Ermin, Wong, Elizabeth, Gholami, Amin, Sun, Kaizhao, Sun, Xu Andy, Elbert, Stephen T., Holzer, Jesse T., Veeramany, Arun
The optimal power flow problem is central to many tasks in the design and operation of electric power grids. This problem seeks the minimum cost operating point for an electric power grid while satisfying both engineering requirements and physical la
Externí odkaz:
http://arxiv.org/abs/2206.07843
Derivative-Free Bound-Constrained Optimization for Solving Structured Problems with Surrogate Models
We propose and analyze a model-based derivative-free (DFO) algorithm for solving bound-constrained optimization problems where the objective function is the composition of a smooth function and a vector of black-box functions. We assume that the blac
Externí odkaz:
http://arxiv.org/abs/2202.12961
Autor:
Izadinia, Niloufar, Ramyar, Elham, Alzayer, Maytham, Carr, Stephen H., Cusatis, Gianluca, Dwivedi, Vidushi, Garcia, Daniel J., Hettiarachchi, Missaka, Massion, Thomas, Miller, William M., Wächter, Andreas
This paper proposes an optimization framework for sustainable post-disaster building reconstruction. Based on mathematical optimization, it is intended to provide decision-makers with a versatile tool to optimize building designs and to explore the t
Externí odkaz:
http://arxiv.org/abs/2111.13178
Autor:
Curtis, Frank E., Molzahn, Daniel K., Tu, Shenyinying, Wächter, Andreas, Wei, Ermin, Wong, Elizabeth
A decomposition algorithm for solving large-scale security-constrained AC optimal power flow problems is presented. The formulation considered is the one used in the ARPA-E Grid Optimization (GO) Competition, Challenge 1, held from November 2018 thro
Externí odkaz:
http://arxiv.org/abs/2110.01737
Autor:
Vecchi, Edoardo, Kardoš, Juraj, Lechekhab, Malik, Wächter, Andreas, Horenko, Illia, Schenk, Olaf
Publikováno v:
In Journal of Computational Science March 2024 76
The alternating current optimal power flow (AC-OPF) problem is critical to power system operations and planning, but it is generally hard to solve due to its nonconvex and large-scale nature. This paper proposes a scalable decomposition approach in w
Externí odkaz:
http://arxiv.org/abs/2002.08003