Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The proposed approach forms a two-layer optimization framework: the outer particle swarm optimization layer handles parameter tuning, while the inner chaotic search improves the solution using the ...

Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...

Abstract: This paper addresses two important smart city logistics problems, i.e., Postal Delivery and Waste Collection, using Electric Vehicle Routing Problems. To this aim two Mixed Integer Linear ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...