A tabu search heuristic for the heterogenous fleet vehicle routing problem
Computers and Operations Research
Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching
Transportation Science
Solving the vehicle routing problem with adaptive memory programming methodology
Computers and Operations Research
A record-to-record travel algorithm for solving the heterogeneous fleet vehicle routing problem
Computers and Operations Research
The open vehicle routing problem: Algorithms, large-scale test problems, and computational results
Computers and Operations Research
The open vehicle routing problem with fuzzy demands
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Survey of Green Vehicle Routing Problem: Past and future trends
Expert Systems with Applications: An International Journal
Open vehicle routing problem with demand uncertainty and its robust strategies
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This paper addressed the heterogeneous fixed fleet open vehicle routing problem (HFFOVRP), in which the demands of customers are fulfilled by a fleet of fixed number of vehicles with various capacities and related costs. Moreover, the vehicles start at the depot and terminate at one of the customers. This problem is an important variant of the classical vehicle routing problem and can cover more practical situations in transportation and logistics. We propose a multistart adaptive memory programming metaheuristic with modified tabu search algorithm to solve this new vehicle routing problem. The algorithmic efficiency and effectiveness are experimentally evaluated on a set of generated instances.