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 ...

Abstract: Many metaheuristic algorithms overlook the importance of population structure and the interrelationships between solutions, often leading to inefficiencies in the search process, reduced ...

Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...