A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems
Université de Montréal · Université du Québec à Montréal · +1 more institution
Abstract
We propose an algorithmic framework that successfully addresses three vehicle routing problems: the multidepot VRP, the periodic VRP, and the multidepot periodic VRP with capacitated vehicles and constrained route duration. The metaheuristic combines the exploration breadth of population-based evolutionary search, the aggressive-improvement capabilities of neighborhood-based metaheuristics, and advanced population-diversity management schemes. Extensive computational experiments show that the method performs impressively in terms of computational efficiency and solution quality, identifying either the best known solutions, including the optimal ones, or new best solutions for all currently available benchmark…
Citation impact
- FWCI
- 78.45
- Percentile
- 100%
- References
- 82
Authors
5Topics & keywords
- Vehicle routing problem
- Benchmark (surveying)
- Metaheuristic
- Mathematical optimization
- Computer science
- Population
- Genetic algorithm
- Routing (electronic design automation)