A DNA computing approach to cluster-based logistic design

Rohani Binti; Abu Bakar; Junzo Watada

doi:10.1109/ICICIC.2007.16

A DNA computing approach to cluster-based logistic design

Rohani Binti^*, Abu Bakar, Junzo Watada

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

In this study, we are intends to enhance our method before in solving determination of distribution location center by using bio-soft approach. Before, we have proposed to employ length based approach in order to represent distances. However, by using this approach, we cannot present real distance value due to length of sequences constraint. Thus, in this paper, we proposes to employ melting temperature to represent a distances in real values. A numerical example is presented to show how this approach has work. Biochemical approach has been uses to obtain the optimal solution.

Original language	English
Title of host publication	Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
DOIs	https://doi.org/10.1109/ICICIC.2007.16
Publication status	Published - 2008
Event	2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto Duration: 2007 Sept 5 → 2007 Sept 7

Other

Other	2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
City	Kumamoto
Period	07/9/5 → 07/9/7

Keywords

Clusterbased solution
DNA computing
Logistic design
Supply chain network

ASJC Scopus subject areas

Computer Science(all)
Mechanical Engineering

Access to Document

10.1109/ICICIC.2007.16

Cite this

@inproceedings{048f42ed098a41eca14bab59dd2f4036,

title = "A DNA computing approach to cluster-based logistic design",

abstract = "In this study, we are intends to enhance our method before in solving determination of distribution location center by using bio-soft approach. Before, we have proposed to employ length based approach in order to represent distances. However, by using this approach, we cannot present real distance value due to length of sequences constraint. Thus, in this paper, we proposes to employ melting temperature to represent a distances in real values. A numerical example is presented to show how this approach has work. Biochemical approach has been uses to obtain the optimal solution.",

keywords = "Clusterbased solution, DNA computing, Logistic design, Supply chain network",

author = "Rohani Binti and Abu Bakar and Junzo Watada",

year = "2008",

doi = "10.1109/ICICIC.2007.16",

language = "English",

isbn = "0769528821",

booktitle = "Second International Conference on Innovative Computing, Information and Control, ICICIC 2007",

note = "2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 ; Conference date: 05-09-2007 Through 07-09-2007",

}

TY - GEN

T1 - A DNA computing approach to cluster-based logistic design

AU - Binti, Rohani

AU - Bakar, Abu

AU - Watada, Junzo

PY - 2008

Y1 - 2008

N2 - In this study, we are intends to enhance our method before in solving determination of distribution location center by using bio-soft approach. Before, we have proposed to employ length based approach in order to represent distances. However, by using this approach, we cannot present real distance value due to length of sequences constraint. Thus, in this paper, we proposes to employ melting temperature to represent a distances in real values. A numerical example is presented to show how this approach has work. Biochemical approach has been uses to obtain the optimal solution.

AB - In this study, we are intends to enhance our method before in solving determination of distribution location center by using bio-soft approach. Before, we have proposed to employ length based approach in order to represent distances. However, by using this approach, we cannot present real distance value due to length of sequences constraint. Thus, in this paper, we proposes to employ melting temperature to represent a distances in real values. A numerical example is presented to show how this approach has work. Biochemical approach has been uses to obtain the optimal solution.

KW - Clusterbased solution

KW - DNA computing

KW - Logistic design

KW - Supply chain network

UR - http://www.scopus.com/inward/record.url?scp=39049112015&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=39049112015&partnerID=8YFLogxK

U2 - 10.1109/ICICIC.2007.16

DO - 10.1109/ICICIC.2007.16

M3 - Conference contribution

AN - SCOPUS:39049112015

SN - 0769528821

SN - 9780769528823

BT - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

T2 - 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007

Y2 - 5 September 2007 through 7 September 2007

ER -

A DNA computing approach to cluster-based logistic design

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this