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

Rogers, James L

ISBN 10: 1287254152 / ISBN 13: 9781287254157

Published by Bibliogov, 2013

About this Item

Print on Demand pp. 22.

Seller Inventory # 393710548

Bibliographic Details

• Title: Development of a Genetic Algorithm to Automate Clustering of a Dependency Structure Matrix
• Publisher: Bibliogov
• Publication Date: 2013
• Language: English
• ISBN 10: 1287254152
• ISBN 13: 9781287254157
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.