Genetic algorithms: foundations and applications
Annals of Operations Research
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
An optimal solution to a dock door assignment problem
Proceedings of the 14th annual conference on Computers and industrial engineering
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Genetic algorithm application in a machine scheduling problem
CSC '93 Proceedings of the 1993 ACM conference on Computer science
WSC '95 Proceedings of the 27th conference on Winter simulation
Using a simulation model to evaluate the configuration of a sortation facility
Proceedings of the 29th conference on Winter simulation
Practical genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Effects of Trailer Scheduling on the Layout of Freight Terminals
Transportation Science
Reducing Labor Costs in an LTL Crossdocking Terminal
Operations Research
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Operations Research Letters
Computers and Industrial Engineering
Genetic-based scheduling to solve the parcel hub scheduling problem
Computers and Industrial Engineering
Truck scheduling at zero-inventory cross docking terminals
Computers and Operations Research
A dynamic load-balancing scheme for the parcel hub-scheduling problem
Computers and Industrial Engineering
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This research presents an interesting scheduling problem common to freight consolidation terminals. This previously unstudied problem involves scheduling a set of inbound trailers to a fixed number of unload docks. The objective is to schedule the trailers to the unload docks to minimize the time span of the transfer operation. This study focuses on freight consolidation terminals in the parcel delivery industry. A simulation-based scheduling algorithm that uses a genetic algorithm to drive the search for new solutions is proposed. In addition to the introduction and discussion of the parcel hub scheduling problem, the contribution of this research is an approach that serves as the initial effort to solve this practical problem.