OPTIMUM SOLUTIONS IN LABOUR RESOURCE LEVELLING PROBLEMS USING GENETIC ALGORITHMS
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- NAGAOKA Hiroaki
- Dept. of Architecture and Architectural Systems, Kyoto Univ.
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- FURUSAKA Shuzo
- Dept. of Architecture and Architectural Systems, Kyoto Univ.
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- YAMAZAKI Masahiro
- Dept. of Architecture and Architectural Systems, Kyoto Univ.
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- KANETA Takashi
- Dept. of Architecture and Architectural Systems, Kyoto Univ.
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- YI Youngho
- Dept. of Architecture and Architectural Systems, Kyoto Univ.
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- OKAMOTO Hiroaki
- West Japan Railway Company
Bibliographic Information
- Other Title
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- 建築工事における労務平準化への遺伝的アルゴリズムの適用
- ケンチク コウジ ニ オケル ロウム ヘイジュンカ エ ノ イデンテキ アルゴ
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Abstract
A new method to get optimum solution in labour resource levelling Problcms is presented. The method is effective for non-repetitive construction works, as well as repetitive ones, and uses genetic algorithm, where how to design phenotype and genotype influences effectiveness and efficiency very much. The phenotype contains the number of days by which the job is delayed to start from the earliest start time. The number is adjusted if the start time calculated using the number is later than the latest start time. Example problems are solved and it is shown that the method is effective and efficient.
Journal
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- Journal of Architecture and Planning (Transactions of AIJ)
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Journal of Architecture and Planning (Transactions of AIJ) 62 (491), 183-187, 1997
Architectural Institute of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204781510528
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- NII Article ID
- 110004654542
- 10004746717
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- NII Book ID
- AN10438548
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- ISSN
- 18818161
- 13404210
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- NDL BIB ID
- 4116852
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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