research-article

Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria Using Interactive Genetic Algorithms

Authors:

A. M. Brintrup,

J. Ramsden,

H. Takagi,

A. TiwariAuthors Info & Claims

IEEE Transactions on Evolutionary Computation, Volume 12, Issue 3

Pages 343 - 354

https://doi.org/10.1109/TEVC.2007.904343

Published: 01 June 2008 Publication History

Abstract

This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework with this aim. Within this framework, different design criteria are viewed as optimization objectives, and design solutions are iteratively improved through the cooperative efforts of computer and user. The framework is rooted in multiobjective optimization, genetic algorithms, and interactive user evaluation. Three different algorithms based on the framework are developed, and tested with an ergonomic chair design problem. The parallel and multiobjective approaches show promising results in fitness convergence, design diversity, and user satisfaction metrics.

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Wu Y(2023)Evolutionary design method for transforming ceramic cultural elements into cultural and creative productsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23190645:5(7297-7315)Online publication date: 4-Nov-2023
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Lanzi PLoiacono DSilva SPaquete L(2023)ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game DesignProceedings of the Genetic and Evolutionary Computation Conference10.1145/3583131.3590351(1383-1390)Online publication date: 15-Jul-2023
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Zhao SWang LQian XChen J(2022)Enhancing performance-based generative architectural design with sketch-based image retrieval: a pilot study on designing building facade fenestrationsThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-021-02170-x38:8(2981-2997)Online publication date: 1-Aug-2022
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cover image IEEE Transactions on Evolutionary Computation

IEEE Transactions on Evolutionary Computation Volume 12, Issue 3

June 2008

124 pages

ISSN:1089-778X

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IEEE Press

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Published: 01 June 2008

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Wu Y(2023)Evolutionary design method for transforming ceramic cultural elements into cultural and creative productsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23190645:5(7297-7315)Online publication date: 4-Nov-2023
https://dl.acm.org/doi/10.3233/JIFS-231906
Lanzi PLoiacono DSilva SPaquete L(2023)ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game DesignProceedings of the Genetic and Evolutionary Computation Conference10.1145/3583131.3590351(1383-1390)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583131.3590351
Zhao SWang LQian XChen J(2022)Enhancing performance-based generative architectural design with sketch-based image retrieval: a pilot study on designing building facade fenestrationsThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-021-02170-x38:8(2981-2997)Online publication date: 1-Aug-2022
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de Lima Moreto RMariano AThomaz CGimenez S(2021)Optimization of a low noise amplifier with two technology nodes using an interactive evolutionary approachAnalog Integrated Circuits and Signal Processing10.1007/s10470-020-01755-1106:1(307-319)Online publication date: 1-Jan-2021
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Wang TZhou M(2020)New Production Development and Research Based on Interactive Evolution Design and Emotional NeedEngineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy10.1007/978-3-030-49044-7_19(221-237)Online publication date: 19-Jul-2020
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Muehlbauer MBurry JSong A(2020)An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in ArchitectureArtificial Intelligence in Music, Sound, Art and Design10.1007/978-3-030-43859-3_10(134-149)Online publication date: 15-Apr-2020
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Qi XZhang JLiang C(2018)Multiple Attributes Group Decision-Making Approaches Based on Interval-Valued Dual Hesitant Fuzzy Unbalanced Linguistic Set and Their ApplicationsComplexity10.1155/2018/31727162018Online publication date: 22-Apr-2018
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