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

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

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

In urban areas with many commercial facilities, patrolling by police officers or security guards is essential for crime prevention, in addition to the use of surveillance cameras. To address the ...

Abstract: Existing neural heuristics for multiobjective vehicle routing problems (MOVRPs) are primarily conditioned on instance context, which failed to appropriately exploit preference and problem ...

ABSTRACT: The main objective of this paper is to propose a new hybrid algorithm for solving the Bi objective green vehicle routing problem (BGVRP) from the BicriterionAnt metaheuristic. The ...

In addition to the increasing population and rapid urbanization, the amount and variety of medical waste are rapidly increasing due to the coronavirus disease (COVID-19) pandemic affecting the whole ...

Abstract: The vehicle routing problem (VRP) is a computationally challenging combinatorial problem. It has been intensively studied by many researchers in the last sixty years. Due to the significant ...