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A Novel Wharf-based Genetic Algorithm for Berth Allocation Planning

Published: 07 October 2015 Publication History

Abstract

For a commercial port, efficiently scheduling the vessels to the public berths is an important issue. In order to save communication and awaiting time of vessels, a wharf-based genetic algorithm is proposed to schedule the public berths. In the initialization process, the schedules are encoded as the chromosomes based on wharf characteristics to avoid assigning vessels to inappropriate wharves. After selection, crossover, mutation processes, the proposed wharf-based genetic algorithm adjusts the usage of wharves to increase the convergence speed. Experimental results show that the proposed algorithm can assign vessels to proper berths as soon as vessels arrive. Compared to the other algorithms, the proposed algorithm obtains 9 times faster than the best one of competing methods. Our wharf-based genetic algorithm obtains the best performance in convergence speed and quality of the solutions than all competing methods.

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cover image ACM Other conferences
ASE BD&SI '15: Proceedings of the ASE BigData & SocialInformatics 2015
October 2015
381 pages
ISBN:9781450337359
DOI:10.1145/2818869
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 October 2015

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  1. Berth Allocation Problem
  2. Genetic Algorithm
  3. Taguchi Method

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ASE BD&SI '15
ASE BD&SI '15: ASE BigData & SocialInformatics 2015
October 7 - 9, 2015
Kaohsiung, Taiwan

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