This paper presents a review of past and present results and approaches in the area of
motion planning using MIP (Mixed-integer Programming). Although in the early 2000s MIP …

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 …

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 …

Resource allocation and scheduling in multi-agent systems present challenges due to
complex interactions and decentralization. This survey paper provides a comprehensive …

Electric power systems (EPSs) and district heating networks (DHNs) are always
independently operated and dispatched but also coupled with each other at the interfaces of …

This article investigates the distributed online optimization problem over a multi-agent
network subject to local set constraints and coupled inequality constraints, which has a lot of …

As the world's population and economy grow, demand for energy increases as well. Smart
grids can be a cost-effective solution to overcome increases in energy demand and ensure …

A frequent starting point of quantum computation platforms is the two-state quantum system,
ie, the qubit. However, in the context of integer optimization problems, relevant to scheduling …

Coordination for truck platooning refers to the active formation of a group of heavy‐duty
vehicles traveling at close spacing to reduce the overall truck operations costs …

This article focuses on multiagent distributed-constrained optimization problems in a
dynamic environment, in which a group of agents aims to cooperatively optimize a sum of …