A survey of distributed optimization
In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …
function which is a sum of local objective functions. Motivated by applications including …
Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming
C Ning, F You - Computers & Chemical Engineering, 2019 - Elsevier
This paper reviews recent advances in the field of optimization under uncertainty via a
modern data lens, highlights key research challenges and promise of data-driven …
modern data lens, highlights key research challenges and promise of data-driven …
Dual decomposition for multi-agent distributed optimization with coupling constraints
We study distributed optimization in a cooperative multi-agent setting, where agents have to
agree on the usage of shared resources and can communicate via a time-varying network to …
agree on the usage of shared resources and can communicate via a time-varying network to …
Tracking-ADMM for distributed constraint-coupled optimization
We consider constraint-coupled optimization problems in which agents of a network aim to
cooperatively minimize the sum of local objective functions subject to individual constraints …
cooperatively minimize the sum of local objective functions subject to individual constraints …
Distributed generalized Nash equilibrium seeking in aggregative games on time-varying networks
G Belgioioso, A Nedić… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We design the first fully distributed algorithm for generalized Nash equilibrium seeking in
aggregative games on a time-varying communication network, under partial-decision …
aggregative games on a time-varying communication network, under partial-decision …
Distributed optimization for smart cyber-physical networks
G Notarstefano, I Notarnicola… - Foundations and Trends …, 2019 - nowpublishers.com
The presence of embedded electronics and communication capabilities as well as sensing
and control in smart devices has given rise to the novel concept of cyber-physical networks …
and control in smart devices has given rise to the novel concept of cyber-physical networks …
An energy sharing mechanism achieving the same flexibility as centralized dispatch
Deploying distributed renewable energy at the demand side is an important measure to
implement a sustainable society. However, the massive small solar and wind generation …
implement a sustainable society. However, the massive small solar and wind generation …
Distributed proximal algorithms for multiagent optimization with coupled inequality constraints
This article aims to address distributed optimization problems over directed and time-varying
networks, where the global objective function consists of a sum of locally accessible convex …
networks, where the global objective function consists of a sum of locally accessible convex …
The scenario approach: A tool at the service of data-driven decision making
In the eyes of many control scientists, the theory of the scenario approach is a tool for
determining the sample size in certain randomized control-design methods, where an …
determining the sample size in certain randomized control-design methods, where an …
Neural-network-based fully distributed adaptive consensus for a class of uncertain multiagent systems
In this article, we revisit the problem of distributed neuroadaptive consensus for uncertain
multiagent systems (MASs) in the presence of unmodeled nonlinearities as well as unknown …
multiagent systems (MASs) in the presence of unmodeled nonlinearities as well as unknown …