Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
WSC '95 Proceedings of the 27th conference on Winter simulation
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Vehicle routing with pick-up and delivery: tour-partitioning heuristics
Computers and Industrial Engineering
A tabu search algorithm for the vehicle routing problem
Computers and Operations Research
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Tabu Search
A survey of very large-scale neighborhood search techniques
Discrete Applied Mathematics
The Best Shape for a Crossdock
Transportation Science
Variable neighborhood search for the maximum clique
Discrete Applied Mathematics - The fourth international colloquium on graphs and optimisation (GO-IV)
Vehicle routing scheduling for cross-docking in the supply chain
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Minimizing makespan in two-stage hybrid cross docking scheduling problem
Computers and Operations Research
A variable neighborhood search for job shop scheduling with set-up times to minimize makespan
Future Generation Computer Systems
Scheduling trucks in cross-docking systems: Robust meta-heuristics
Computers and Industrial Engineering
Truck dock assignment problem with operational time constraint within crossdocks
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Journal of Intelligent Manufacturing
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Cross docking play an indispensable role in streamlining the efficiency and effectiveness of any supply chain operations. Owing to the need to reduce transportation lead time and increase coordination between other supply chain activities such as just-in-time, make-to-order, or merge-in-transit strategies, shortening the total transfer time at cross docking is increasing important. Thus, in this paper we propose a new hybrid metaheuristic for vehicle routing scheduling in cross-docking systems. This new hybrid algorithm incorporates the elements from Particle Swam Optimization, Simulated Annealing and Variable Neighborhood Search to enhance its search capabilities. On view of the fact that the performance of metaheuristic algorithms are considerably influenced by the proper tuning of their parameters, we take advantage of Taguchi's robust design method to come up with the best parameters of the before-mentioned algorithms. In order to measure the performance of our proposed algorithm, we compared it with the Tabu Search algorithm presented by Lee et al. (Comput Ind Eng 51:247---256, 2006). The computational evaluations clearly support the high performance of our proposed algorithm against other algorithm in the literature.