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: The Vehicle Routing Problem with Time Windows (VRPTW) is paramount in elevating operational efficiency, driving cost reductions, and enhancing customer satisfaction. It is a renowned ...

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 ...

Cheap vehicles are thin on the ground in 2026, but [Andy Didorosi] thinks he has the answer for low-speed applications with ...

Consumer Reports found Uber and Lyft use algorithmic pricing to give different consumers very different prices for the same ...

For many steps in the process at Hyundai’s sprawling Georgia auto factory, vehicles take shape without a person in sight. But ...

A few seconds of preparation can make Android Auto much more reliable ...

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 ...

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly connected manufacturing ecosystem. These environments are inherently ...