Analysis of Logistics Based on DNA Computing

• Bakar Rohani Abu

  Graduate School of Information, Production and Systems Waseda University

• Watada Junzo

  Graduate School of Information, Production and Systems Waseda University

抄録

Location selection for distribution centers (DCs) is one of the most important decision issues that logistic managers concern with. The optimal or suitable location gives an influencing impact on company profits. This paper proposes a molecular algorithm to efficiently identify the optimal location of the DCs. The optimal selection of the DCs is a combination of two main problems that are to select the most economical DCs and to figure out which of local cities will connect to which of DCs with the least cost, respectively. These two problems can be classified into an NP problem. DNA computing can efficiently solve these two problems in super parallel computation. Finally, we discuss the result obtained in finding the most suitable location of DCs as a solution.

収録刊行物

• バイオメディカル・ファジィ・システム学会大会講演論文集

  バイオメディカル・ファジィ・システム学会大会講演論文集 19 (0), 91-94, 2006

  バイオメディカル・ファジィ・システム学会

キーワード

• DNA Computing
• Molecular Algorithm
• Distribution Center
• Logistic Location

詳細情報

• CRID: 1390282680204825856
• NII論文ID: 110008136373
• DOI: 10.24466/pacbfsa.19.0_91
• ISSN: 24242586
• ISSN: 13451510
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可