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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Development of a Genetic Algorithm to Automate Clustering of a Dependency Structure Matrix

Development of a Genetic Algorithm to Automate Clustering of a Dependency Structure Matrix

Rogers, James L.
Nasa Technical Reports Server (Ntrs)
Et Al

Paperback

General Political Science

Publisher Price: $14.75

ISBN10: 1287254152
ISBN13: 9781287254157
Publisher: Bibliogov
Published: Jul 29 2013
Pages: 22
Weight: 0.13
Height: 0.05 Width: 7.44 Depth: 9.69
Language: English
Much technology assessment and organization design data exists in Microsoft Excel spreadsheets. Tools are needed to put this data into a form that can be used by design managers to make design decisions. One need is to cluster data that is highly coupled. Tools such as the Dependency Structure Matrix (DSM) and a Genetic Algorithm (GA) can be of great benefit. However, no tool currently combines the DSM and a GA to solve the clustering problem. This paper describes a new software tool that interfaces a GA written as an Excel macro with a DSM in spreadsheet format. The results of several test cases are included to demonstrate how well this new tool works.

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