A heuristic approach to the overnight security service problem
Computers and Operations Research
A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows
Computational Optimization and Applications
Active guided evolution strategies for large-scale vehicle routing problems with time windows
Computers and Operations Research
A simulated annealing heuristic for the truck and trailer routing problem with time windows
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Windows. Its framework is a smart combination of three simple procedures: the classical k-opt exchanges improve the solution, an ad hoc procedure reduces the number of vehicles and a second objective function drives the search out of local optima. No parameter tuning is required and no random choice is made: these are the distinguishing features with respect to the recent literature. The algorithm has been tested on benchmark problems which prove it to be more effective than comparable algorithms.