A novel three-phase heuristic approach for the capacitated vehicle routing problem, in which the adaptive strategy is adopted and the simulation indicates the algorithm attains high-quality results in a short time. The capacitated vehicle routing problems (CVRP) are NP-hard. Most approaches can solve small-scale case studies to optimality. Furthermore, they are time-consuming. To overcome the limitation, this paper presents a novel three-phase heuristic approach for the capacitated vehicle routing problem. The first phase aims to identify sets of cost-effective feasible clusters through an improved ant-clustering algorithm, in which the adaptive strategy is adopted. The second phase assigns clusters to vehicles and sequences them on each tour. The third phase orders nodes within clusters for every tour and genetic algorithm is used to order nodes within clus- ters. The simulation indicates the algorithm attains high-quality results in a short time.
PDF) Supervised Fuzzy C-Means Techniques to Solve the Capacitated
Symmetry, Free Full-Text
Future Internet, Free Full-Text
Ant Colony System with Saving Heuristic for Capacitated Vehicle
Ant colony optimization algorithms - Wikipedia
PDF] Ant colony optimization techniques for the vehicle routing
Mathematics, Free Full-Text
Electronics, Free Full-Text
Routing optimization method of waste transportation vehicle using
Applied Sciences, Free Full-Text
Symmetry, Free Full-Text