The Travelling Salesman Problem is one of those deceptively simple problems that quickly becomes brutal. Given a list of cities, what is the shortest possible route that visits each city once and ...
The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...
This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...
Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...
Professor of Management Science Associate Dean for Research and Innovation Maria Paola Scaparra is a Professor of Management Science and a member of the Centre for Logistics and Heuristic Optimisation ...
Abstract: The Greedy Permuting Method (GPM) is a method introduced for initial population generation in the Genetic Algorithm (GA). For a test problem with 280 cities, the generated initial population ...
The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they either have ...
Vehicle Routing Problem or simply VRP is a well known combinatorial optimization problem and a generalization of the travelling salesman problem. A definition of the problem is this: We have a number ...
Abstract: The Travelling Salesman Problem (TSP) is one of the typical combinatorial optimization problems that is easy to describe but hard to solve. In this work, we present a novel solution that ...
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