A Parallel Algorithm for the Vehicle Routing Problem
INFORMS Journal on Computing
The mixed capacitated general routing problem with turn penalties
Expert Systems with Applications: An International Journal
Solving variants of the vehicle routing problem with a simple parallel iterated Tabu search
INOC'11 Proceedings of the 5th international conference on Network optimization
A parallel iterated tabu search heuristic for vehicle routing problems
Computers and Operations Research
A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems
Operations Research
A Parallel Algorithm for the Vehicle Routing Problem
INFORMS Journal on Computing
Statistical analysis of distance-based path relinking for the capacitated vehicle routing problem
Computers and Operations Research
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Vehicle routing problems are at the heart of most decision support systems for real-life distribution problems. In vehicle routing problem a set of routes must be determined at lowest total cost for a number of resources (i.e., fleet of vehicles) located at one or several points (e.g., depots, warehouses) to efficiently service a number of demand or supply points. In this article a new memetic algorithm is suggested for the standard capacitated vehicle routing problem. The proposed algorithm combines the edge assembly (EAX) crossover with well-known local searches and allows for infeasible solutions with respect to capacity and route duration constraints after invoking the crossover. To address the constraint violation, an efficient modification algorithm is also suggested. Experimental tests on 47 standard benchmarks demonstrate that the suggested method is robust and competitive, finding new best-known solution to 20 well-studied instances and repeating the existing best-known solution for 24 problems in a reasonable computing time. © 2009 Wiley Periodicals, Inc. NETWORKS, 2009