Every delivery driver, field service technician, sales representative, and ride-hailing vehicle moving through a city is solving a version of the same problem: given a list of places to visit and ...

In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves ...

As geospatial datasets grow in scale, complexity, and dimensionality, traditional computing methods are increasingly strained in delivering real-time spatial insights. Quantum computing, a field once ...

In the current competitive global market, the efficiency of production and distribution processes is crucial for the profitability and sustainability of manufacturing and logistics enterprises.

The wild horse optimizer (WHO) is a novel metaheuristic algorithm, which has been successfully applied to solving continuous engineering problems. Considering the characteristics of the wild horse ...

Abstract: Due to the growth in e-commerce, city logistics needs to cope with the rise of customers’ demand. Consequently, it adds to the complexity of the last-mile delivery process. Moreover, this ...

VRPTW is an NP-hard combinatorial optimization problem: route vehicles from a depot to customers with time windows and capacity constraints while minimizing total cost. This repository provides: ...

1 Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, Selangor, Malaysia. 2 Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research, ...