A Berth Allocation Problem in the Public Berth System by Genetic Algorithm
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- NISHIMURA Etsuko
- 神戸商船大学輸送システム工学講座
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- IMAI Akio
- 神戸商船大学輸送システム工学講座
Bibliographic Information
- Other Title
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- 遺伝子アルゴリズムを用いた公共バースの割当法
- イデンシ アルゴリズム オ モチイタ コウキョウ バース ノ ワリアテホウ
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Abstract
Japan's ports were major hubs of the international maritime container transportation system. However their roles as hubs have been disappearing these days because of efficient ports of other countries in Asia with relatively cheaper port charges. Therefore, it is important for Japan to reduce the cost related with ports and improve port services so as to increase the cargo volume to be handled in ports. For this, we propose a public berth system where the ship-to-berth allocation is dynamically performed. In this parer we discuss the efficient berth allocation by using Genetic algorithm (GA) . We conduct some numerical experiments with ship arrival and handling data in port of Kobe, resulting in the same handling performance with fewer berths available than those in Kobe.
Journal
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- The Journal of Japan Institute of Navigation
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The Journal of Japan Institute of Navigation 100 (0), 181-189, 1999
Japan Institute of Navigation
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Details 詳細情報について
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- CRID
- 1390001205481377536
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- NII Article ID
- 110006403003
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- NII Book ID
- AN00188841
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- ISSN
- 21873275
- 03887405
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- NDL BIB ID
- 4701311
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed