Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 56, Issue 1, Pages 241-248Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2008.05.011
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Funding
- University of Tehran [8106043/1/06]
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This paper presents a novel, mixed-integer programming (MIP) model for the quay crane (QC) scheduling and assignment problem, namely QCSAP, in a container port (terminal). Obtaining an optimal solution for this type of complex, large-sized problem in reasonable computational time by using traditional approaches and optimization tools is extremely difficult. This paper, thus, proposes a genetic algorithm (GA) to solve the above-mentioned QCSAP for the real-world situations. Further, the efficiency of the proposed CA is compared against the LINGO software package in terms of computational times for small-sized problems. Our computational results suggest that the proposed CA is able to solve the QCSAP, especially for large sizes. (C) 2008 Elsevier Ltd. All rights reserved.
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