Metaheuristic Algorithms for Container Loading Problem by Grouping Objects

• ENDO Yasunori

  Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba

• HANZAWA Koki

  Master's Program in Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba

• HAMASUNA Yukihiro

  Master's Program in Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba

Bibliographic Information

Other Title

• グループ化を用いた貨物積み付けにおけるメタ戦略アルゴリズム
• グループカ オ モチイタ カモツ ツミ ヅケ ニ オケル メタ センリャク アルゴリズム

Abstract

A family of automatic container loading problems is studied and algorithms are proposed. The algorithms are constructed with metaheuristics and include flat and/or vertical loading schemes, loading efficiency, stability of loaded objects, and computational requirement. Handling groups of objects in a metaheuristic scheme is moreover considered. Numerical examples are given.

Journal

• Journal of Japan Society for Fuzzy Theory and Intelligent Informatics

  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 18 (6), 859-866, 2006

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• container loading
• metaheuristic optimization
• knowledge system
• grouping
• clustering algorithm

Details

• CRID: 1390001205185585664
• NII Article ID: 110005716923
• NII Book ID: AA1181479X
• DOI: 10.3156/jsoft.18.859
• ISSN: 18817203
• ISSN: 13477986
• HANDLE: 2241/106880
• NDL BIB ID: 8620880
• Web Site: https://tsukuba.repo.nii.ac.jp/records/20635
• Web Site: http://id.ndl.go.jp/bib/8620880
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8620880
• Text Lang: ja
• Data Source:
  • JaLC
  • IRDB
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed