This project is an interactive visualisation of the travelling salesman problem (TSP) being solved by a simulated annealing based algorithm. For comparison, it has the option to simultaneously display ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

Abstract: Quantum Annealing (QA) is a metaheuristic designed to enhance Simulated Annealing by leveraging concepts from quantum mechanics, improving parallelization on classical computers. Studies ...

ABSTRACT: The Tabu Search heuristic can be used to optimise the WET (waste to energy technology). Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper ...

Professional astronomers don’t make discoveries by looking through an eyepiece like you might with a backyard telescope. Instead, they collect digital images in massive cameras attached to large ...

Personalized cancer treatment requires precise scheduling of multiple therapeutic agents under biological constraints. Optimizing such regimens is especially challenging due to the nonlinear dynamics ...

ABSTRACT: In recent years, metal contamination has become a major source of soil pollution in Bangladesh because of intensive agriculture practices, mining, industrialization, pesticides, untreated ...

Abstract: This study addresses the 0-1 Knapsack Problem (KP), a classic variant of knapsack problems, using the Simulated Annealing (SA) algorithm. The 0-1 KP, an NP-hard problem, involves selecting ...

This Frontiers Research Topic comprises 13 peer-reviewed papers published in the period August 2023 through June 2024. These papers are cross-listed with Frontiers in Computer Science. The call for ...