Abstract: This paper introduces a distributed finite-time optimization approach for convex optimization with time-varying cost function in multi-agent systems under an undirected and connected ...

This project implements an AI Pathfinder that visualizes how different uninformed search algorithms explore a grid environment to find the optimal path from a start point to a goal point while ...

Abstract: This paper addresses a class of optimization problems with time-varying cost functions by proposing a fully distributed prescribed-time algorithm. The algorithm decomposes the overall ...