International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association
Online ISSN : 2424-256X
Print ISSN : 2185-2421
ISSN-L : 2185-2421
A Biologically Inspired Computing Approach to Solve Cluster-Based Determination of Logistic Problem(<Special Issue>Contribution to 21 Century Intelligent Technologies and Bioinformatics)
Rohani Binti ABU BAKARJunzo WATADA
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JOURNAL OPEN ACCESS

2008 Volume 13 Issue 2 Pages 59-66

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Abstract

Determination of logistic problem is one of major research in a supply chain network. The decision of a strategic location (in terms of cost and profits) is urgently essentials in order to make a company more competitive then other competitors in an industry. Many factors should be taken into consideration while selecting a location to build a logistic place in order to serve other retailers city effectively. There are many algorithms based on several different approaches have been proposed previously. In this paper, approaching from biologically inspired computation, a DNA computing algorithm is proposed to solve the problem. In our study, we employed cluster-based technique to group all cities before choosing a distribution center. An example is presented to illustrate how the proposed technique works.

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© 2008 Biomedical Fuzzy Systems Association
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