Mixed-integer programming in motion planning

D Ioan, I Prodan, S Olaru, F Stoican… - Annual Reviews in Control, 2021 - Elsevier
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 …

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 …

Multi-objective optimal sizing of grid connected photovoltaic batteryless system minimizing the total life cycle cost and the grid energy

K Ndwali, JG Njiri, EM Wanjiru - Renewable Energy, 2020 - Elsevier
The increasing demand of electricity has led to drastic use of renewable energy resources
because of the scarcity and environmental effects of fossil fuel. Photovoltaic energy is one of …

Security and energy-aware collaborative task offloading in D2D communication

Z Li, H Hu, H Hu, B Huang, J Ge, V Chang - Future Generation Computer …, 2021 - Elsevier
Abstract Device-to-device (D2D) communication technique is used to establish direct links
among mobile devices (MDs) to reduce communication delay and increase network capacity …

Distributed multirobot task assignment via consensus ADMM

O Shorinwa, RN Haksar, P Washington… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this article, we present a distributed algorithm to solve a class of multirobot task
assignment problems. We formulate task assignment as a mathematical optimization and …

Distributed mixed-integer linear programming via cut generation and constraint exchange

A Testa, A Rucco, G Notarstefano - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Many problems of interest for cyber-physical network systems can be formulated as mixed-
integer linear programs in which the constraints are distributed among the agents. In this …

Consensus-based ADMM for task assignment in multi-robot teams

RN Haksar, O Shorinwa, P Washington… - … Symposium of Robotics …, 2019 - Springer
In this work, we leverage the alternating direction method of multipliers (ADMM) framework
to solve task assignment for a multi-robot team. While ADMM is a well-established method, it …

A primal decomposition method with suboptimality bounds for distributed mixed-integer linear programming

A Camisa, I Notarnicola… - 2018 IEEE Conference …, 2018 - ieeexplore.ieee.org
In this paper we deal with a network of agents seeking to solve in a distributed way Mixed-
Integer Linear Programs (MILPs) with a coupling constraint (modeling a limited shared …

Generalized assignment for multi-robot systems via distributed branch-and-price

A Testa, G Notarstefano - IEEE Transactions on Robotics, 2021 - ieeexplore.ieee.org
In this article, we consider a network of agents that has to self-assign a set of tasks while
respecting resource constraints. One possible formulation is the generalized assignment …

Distributed optimization for mixed-integer consensus in multi-agent networks

Z Liu, O Stursberg - 2022 European Control Conference (ECC), 2022 - ieeexplore.ieee.org
This paper considers the consensus of mixed-integer linear programming (MILP) problems
as occurring in distributed control and machine learning of multi-agent networks. Unlike …