Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...
Abstract: Online learning recommendation is critical for talent cultivation and high-quality education. However, existing algorithms often prioritize personalization over learning goals, leading to ...
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 ...
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