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A clustering method using new modularity indices and a genetic algorithm with extended chromosomes
Sangjin Jung, Timothy W. Simpson
Marcus Department of Industrial and Manufacturing Engineering
Mechanical Engineering
Institute for Computational and Data Sciences (ICDS)
Materials Research Institute (MRI)
Research output
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Contribution to conference
›
Paper
›
peer-review
11
Scopus citations
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Dive into the research topics of 'A clustering method using new modularity indices and a genetic algorithm with extended chromosomes'. Together they form a unique fingerprint.
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Keyphrases
Genetic Algorithm
100%
Clustering Methods
100%
Modularity Index
100%
Clustering Algorithm
66%
Design Structure Matrix
66%
Module Definition
66%
Product Architecture
33%
Search Strategy
33%
New Metric
33%
Indexing Algorithm
33%
Combinatorial Genetics
33%
Modular Product Architecture
33%
Computer Science
Clustering Method
100%
Genetic Algorithm
100%
Clustering Algorithm
66%
Product Architecture
66%
Design Structure Matrix
66%
Objective Function
33%
Search Strategies
33%
Mathematics
Genetic Algorithm
100%
Clustering Method
100%
Matrix (Mathematics)
66%
Clustering Algorithm
66%
Objective Function
33%
Optimal Design
33%
Search Strategies
33%