Abstract: The traveling salesman problem is a well-known challenge in combinatorial optimization. It involves determining the shortest possible route that visits each city exactly once from a given ...

NEW YORK — Yoshinobu Yamamoto will have two opportunities to opt out of his record $325 million, 12-year contract with the Los Angeles Dodgers, although the timing is tied to his pitching elbow's ...

This project encompasses a comprehensive suite of algorithms designed to tackle the classic TSP, providing solutions via various heuristics, matheuristics, and exact optimization models. Leveraging ...

Quantum networks are designed to transmit quantum bits (qubits) among quantum devices to enable new network resources for the applications. Entanglement distribution and entanglement swapping are ...

Bubble sort is one of the most intuitive sorting algorithms and a perfect starting point for anyone interested in the world of algorithms. Despite its simplicity, bubble sort provides a clear example ...

Picture this: A weary salesperson juggling a multitude of client meetings, crisscrossing cities, and spending countless hours on the road. The life of a traveling salesperson is challenging, with time ...

Topology optimization by optimally distributing materials in a given domain requires non-gradient optimizers to solve highly complicated problems. However, with hundreds of design variables or more ...

This repo contains a series of Path Planning heuristic algorithms such as A*, Theta* and Lazy Theta*. The purpose of this repository is to provide som classes with a pure C++ implementation with the ...

Abstract: AS-PSO-2Opt is a new enhancement of the AS-PSO method. In the classical AS-PSO, the Ant heuristic is used to optimize the tour length of a Traveling Salesman Problem, TSP, and PSO is applied ...

In recent times among the multitude of attacks present in network system, DDoS attacks have emerged to be the attacks with the most devastating effects. The main objective of this paper is to propose ...