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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

Through the Quay Crane (QC) scheduling process, planners need to find the sequence of ship clusters that each QC will serve and the time schedule for the service, while satisfying various constraints among ship clusters. This paper studies this QC scheduling problem considering interference between QCs, which will cause waste waiting time for QC utilities. We propose a multi-objective genetic algorithm to minimize the turn around time of the container ships and to balance the workloads among Yard Cranes (YCs) at the same time for this NP-complete combinatorial problem. Numerical experiments using practical data is performed to test the performance...

Abstract
Introduction
Problem Description
Mathematical Model
Approachs for Scheduling
Numerical Experiments
Conclusions
References
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