Mixed-integer programming in motion planning
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 …
motion planning using MIP (Mixed-integer Programming). Although in the early 2000s MIP …
Distributed optimization for smart cyber-physical networks
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 …
Multi-objective optimal sizing of grid connected photovoltaic batteryless system minimizing the total life cycle cost and the grid energy
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 …
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
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 …
among mobile devices (MDs) to reduce communication delay and increase network capacity …
Optimal microgrid planning for electricity security in Niamey: A strategic response to sudden supply disruptions from neighboring sources
Niger relies heavily on electricity imports from Nigeria. Still, recent political tensions have
caused severe disruptions, leaving the country grappling with widespread energy shortages …
caused severe disruptions, leaving the country grappling with widespread energy shortages …
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 …
assignment problems. We formulate task assignment as a mathematical optimization and …
Distributed Algorithms via Saddle-Point Dynamics for Multi-Robot Task Assignment
Y Huang, J Kuai, S Cui, Z Meng… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
This letter develops two distributed algorithms to solve multi-robot task assignment problems
(MTAP). We first describe MTAP as an integer linear programming (ILP) problem and then …
(MTAP). We first describe MTAP as an integer linear programming (ILP) problem and then …
Distributed mixed-integer linear programming via cut generation and constraint exchange
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 …
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 …
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
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 …
Integer Linear Programs (MILPs) with a coupling constraint (modeling a limited shared …