IEEE

NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem

Abstract: This study presents Neural Focused Ant Colony Optimization (NeuFACO), a non-autoregressive framework for the Traveling Salesman Problem (TSP) that combines advanced reinforcement learning ...
IEEE

Enhanced Ant Colony Optimization with Dynamic Ant Population and Pheromone Boosting for Mobile Parcel Delivery Route Optimization

Abstract: Conventional Ant Colony Optimization (ACO) algorithms, when applied to complex logistics routing problems, often suffer from premature convergence, leading to solution stagnation and ...
GitHub

GitHub - arnobt78/Vehicle-Routing-Problem-Time-Windows-Solver-Comparison--VRPTW-Python-React: A comprehensive Python implementation comparing multiple metaheuristic algorithms ...

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 ...
BMJ

Shorter, faster, but still accurate: using ant colony optimisation to develop and validate the Athlete Mental Health Screener-18 (AMHS-18) as a brief alternative to Sport ...

Objective Sport Mental Health Assessment Tool 1 (SMHAT-1) ensures comprehensive and reliable mental health screening in athletes. However, its triage’s predictive validity varies depending on the ...
GitHub

arnobt78/Vehicle-Routing-Problem-Time-Windows-Solver-Comparison--VRPTW-Python

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 ...
Frontiers

Enhancing Fast Neutron Irradiation in Thermal Neutron Spectrum Reactors Through Python-Based Multi-Objective Optimization

The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...