Chapter
Jun 29, 2016
A Genetic Algorithm for Integrated Berth Allocation and Quay Crane Assignment Problems in Container Terminals
Authors: Jie Xin Cao [email protected], Jie Ren [email protected], Mandula [email protected], and Xiao Ting Shang [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
Berths and quay cranes are the most critical resources in determining the capacity of container terminals. In order to utilize berths and quay cranes efficiently, this paper studies the integrated dynamic discrete berth allocation and quay crane assignment problem considering the cost balance. The objective of the proposed model is to reduce the total service cost, including the handling cost, the waiting cost, and the quay crane operation cost. Due to the inherent computation complexity, a genetic algorithm is designed to attain a near optimal solution. Computational experiments show that the proposed genetic algorithm is effective in solving the studied problem. The total service cost is influenced by the value of the cost balance.
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Published In
CICTP 2016
Pages: 543 - 554
Copyright
© 2016 American Society of Civil Engineers.
History
Published online: Jun 29, 2016
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Affiliations
Institute of Transportation, Inner Mongolia Univ., No. 24, Zhaojun Rd., Hohhot 010070, China. E-mail: [email protected]
School of Mathematics, Inner Mongolia Univ., Hohhot 010021, China. E-mail: [email protected]
Mandula [email protected]
Institute of Transportation, Inner Mongolia Univ., No. 24, Zhaojun Rd., Hohhot 010070, China. E-mail: [email protected]
School of Mathematics, Inner Mongolia Univ., Hohhot 010021, China. E-mail: [email protected]
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