The Liberian People's Party (LPP) has expressed strong confidence that Mr. Jonathan Weedor is the most suitable candidate for the position of Chairperson of the National Elections Commission (NEC).

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Instead of romanticising a pre-AI past, universities should use this moment to rethink what they actually want students to demonstrate, says Dr Nafisa Baba-Ahmed The frustration many academics are ...

Traffic assignment models form the backbone of transportation network analysis by determining how travel demand is distributed across a network. Central to these models is the principle of user ...

Reviewer assignment algorithms and systems have emerged as critical tools in modern academic publishing and research evaluation, ensuring that submitted manuscripts are matched with expert reviewers ...

Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with limited checkpoints, things begin to go out of hand ...

This repository contains a streamlined implementation of RL-Enabled Distributed Assignment (REDA), the algorithm described to solve sequential assignment problems in 'Multi-Agent Reinforcement ...

Abstract: 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 ...

Reinforcement Learning (RL) is a critical area of ML that allows agents to learn from their interactions within an environment by receiving feedback as rewards. A significant challenge in RL is ...

We introduce a method for solving a quadratic unconstrained binary optimization (QUBO) with the two-way one-hot constraints by dividing the QUBO into parts and solving it with an Ising machine. The ...