An augmented Lagrangian based algorithm for distributed nonconvex optimization
This paper is about distributed derivative-based algorithms for solving optimization problems
with a separable (potentially nonconvex) objective function and coupled affine constraints. A …
with a separable (potentially nonconvex) objective function and coupled affine constraints. A …
Toward distributed OPF using ALADIN
This paper discusses the application of the recently proposed augmented Lagrangian
alternating direction inexact Newton (aladin) method to non-convex ac optimal power flow …
alternating direction inexact Newton (aladin) method to non-convex ac optimal power flow …
A collaborative neurodynamic optimization approach to distributed chiller loading
In this article, we present a collaborative neurodynamic optimization approach to distributed
chiller loading in the presence of nonconvex power consumption functions and binary …
chiller loading in the presence of nonconvex power consumption functions and binary …
Generalized self-concordant functions: a recipe for newton-type methods
T Sun, Q Tran-Dinh - Mathematical Programming, 2019 - Springer
We study the smooth structure of convex functions by generalizing a powerful concept so-
called self-concordance introduced by Nesterov and Nemirovskii in the early 1990s to a …
called self-concordance introduced by Nesterov and Nemirovskii in the early 1990s to a …
Distributed Chiller Loading via Collaborative Neurodynamic Optimization With Heterogeneous Neural Networks
In the operation planning of heating, ventilation, and air conditioning systems, optimal chiller
loading assigns cooling loads to chillers with minimized power consumption. In this article, a …
loading assigns cooling loads to chillers with minimized power consumption. In this article, a …
Optimal molecular design of working fluids for sustainable low-temperature energy recovery
O Palma-Flores, A Flores-Tlacuahuac… - Computers & Chemical …, 2015 - Elsevier
The practical development of sustainable energy sources is presently one of the key
research topics due to its strong social and economic impact. Among the sources of …
research topics due to its strong social and economic impact. Among the sources of …
Distributed AC optimal power flow using ALADIN
This paper investigates the distributed solution of non-convex ac power flow optimization
problems arising in electrical grids. Specifically, we consider the application of a recently …
problems arising in electrical grids. Specifically, we consider the application of a recently …
Optimal power flow: an introduction to predictive, distributed and stochastic control challenges
The Energiewende is a paradigm change that can be witnessed at latest since the political
decision to step out of nuclear energy. Moreover, despite common roots in Electrical …
decision to step out of nuclear energy. Moreover, despite common roots in Electrical …
Convergence rate analysis for the alternating direction method of multipliers with a substitution procedure for separable convex programming
Recently, in He et al.[He BS, Tao M, Yuan XM (2012) Alternating direction method with
Gaussian back substitution for separable convex programming. SIAM J. Optim. 22 (2): 313 …
Gaussian back substitution for separable convex programming. SIAM J. Optim. 22 (2): 313 …
Linearized generalized ADMM-based algorithm for multi-block linearly constrained separable convex programming in real-world applications
J He, J Li, Z Lu, B Zhang - Journal of Computational and Applied …, 2023 - Elsevier
We study a multi-block separable convex optimization problem with the linear constraints,
where the objective function is the sum of m individual convex functions without overlapping …
where the objective function is the sum of m individual convex functions without overlapping …