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 ...

SAG-AFTRA President Sean Astin and National Executive Director Duncan Crabtree-Ireland took OpenAI and its new Sora 2 to task in a memo to union members on Thursday, saying that the Sam Altman-led ...

A key question about LLMs is whether they solve reasoning tasks by learning transferable algorithms or simply memorizing training data. This distinction matters: while memorization might handle ...

As alternative heuristic techniques; genetic algorithm, simulated annealing algorithm and city swap algorithm are implemented in Python for Travelling Salesman Problem. Details on implementation and ...

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony ...

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 ...

Heuristic and metaheuristic techniques are used for solving computationally hard optimization problems. Local search is a heuristic technique while Ant colony optimization (ACO), inspired by the ants' ...