Journal article
Combining Multiobjective Optimization and Cluster Analysis to Study Vocal Fold Functional Morphology
IEEE transactions on biomedical engineering, Vol.61(7), pp.2199-2208
07/01/2014
DOI: 10.1109/TBME.2014.2319194
PMCID: PMC5681358
PMID: 24771563
Abstract
Morphological design and the relationship between form and function have great influence on the functionality of a biological organ. However, the simultaneous investigation of morphological diversity and function is difficult in complex natural systems. We have developed a multiobjective optimization (MOO) approach in association with cluster analysis to study the form-function relation in vocal folds. An evolutionary algorithm (NSGA-II) was used to integrate MOO with an existing finite element model of the laryngeal sound source. Vocal fold morphology parameters served as decision variables and acoustic requirements (fundamental frequency, sound pressure level) as objective functions. A two-layer and a three-layer vocal fold configuration were explored to produce the targeted acoustic requirements. The mutation and crossover parameters of the NSGA-II algorithm were chosen to maximize a hypervolume indicator. The results were expressed using cluster analysis and were validated against a brute force method. Results from the MOO and the brute force approaches were comparable. The MOO approach demonstrated greater resolution in the exploration of the morphological space. In association with cluster analysis, MOO can efficiently explore vocal fold functional morphology.
Details
- Title: Subtitle
- Combining Multiobjective Optimization and Cluster Analysis to Study Vocal Fold Functional Morphology
- Creators
- Anil Palaparthi - University of UtahTobias Riede - University of UtahIngo R. Titze - University of Iowa
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on biomedical engineering, Vol.61(7), pp.2199-2208
- DOI
- 10.1109/TBME.2014.2319194
- PMID
- 24771563
- PMCID
- PMC5681358
- NLM abbreviation
- IEEE Trans Biomed Eng
- ISSN
- 0018-9294
- eISSN
- 1558-2531
- Publisher
- IEEE
- Number of pages
- 10
- Grant note
- NIH R01 DC008612 / National Institute of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA R01DC008612 / NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD)
- Language
- English
- Date published
- 07/01/2014
- Academic Unit
- School of Music; Communication Sciences and Disorders
- Record Identifier
- 9984719749402771
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