Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

A comprehensive Python implementation comparing multiple metaheuristic algorithms for solving the Vehicle Routing Problem with Time Windows (VRPTW). It provides a detailed comparison of four ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...

Abstract: Genetic algorithms are practical tools for solving complex optimization problems; however, the performance of many existing solutions is often limited by their inability to utilize modern ...

This project is an educational and research-oriented implementation that benchmarks and compares different metaheuristic algorithms for solving VRPTW problems. The VRPTW is a classic NP-hard ...

When Ben Rosenfeld started working as a residential assistant at a Stanford University dorm, he encountered 77 freshmen possessed by an “all-consuming” force. His new gig coincided with the release of ...

Correspondence to Dr Marta Futema; mfutema{at}sgul.ac.uk Conclusions The prevalence and gene distribution of FH-causing variants in 100KGP are consistent with UK estimates. Differences in variant ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...