Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
A Clustering Method Using New Modularity Indices and Genetic Algorithm with Extended Chromosomes
Jung, S.; Simpson, T. W.
Type:
Year:
2014
Editor:
Marle, F.; Jankovic, M.; Maurer, M.; Schmidt, D. M.; Lindemann, U.
Author:
Series:
DSM
Section:
Clustering and Optimization
Page(s):
167-176
Abstract:
Module definition entails clustering an original product architecture into independent or coordinated modules. Clustering algorithms based on Design Structure Matrices (DSMs) for defining modules have been widely studied. After reviewing existing clustering algorithms, we introduce simple new metrics that can be used as modularity indices bounded between 0 and 1 and also utilized as the objective functions to obtain optimal DSMs including the maximized interactions within modules and the minimized interactions between modules. As a search strategy for clustering modules, a combinatorial genetic algorithm using a new extended chromosome approach and modified operators for the chromosome is suggested. The module definition results indicated that the proposed clustering method using new modularity indices and genetic algorithm helps obtain optimal modular product architectures more logically.
Keywords:
This Content is Available for Members Only
Are you a registered member?
If so, you can sign-in to the website and get immediate access.
Not a Member Yet?
Membership is open to people with recognised qualifications and/or experience in the fields of design research, design practice, design management, and design education. Apply NOW
