Ergonomic chair design by fusing qualitative and quantitative criteria using interactive genetic algorithms

Alexandra Melike Brintrup, Jeremy Ramsden, Hideyuki Takagi, Ashutosh Tiwari

Research output: Contribution to journalArticle

68 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)343-354
Number of pages12
JournalIEEE Transactions on Evolutionary Computation
Volume12
Issue number3
DOIs
Publication statusPublished - Dec 1 2008

Fingerprint

Interactive Genetic Algorithm
Ergonomics
Genetic algorithms
User Evaluation
User Satisfaction
Multiobjective optimization
Multi-objective Optimization
Fitness
Design
Genetic Algorithm
Metric
Framework
Optimization

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics

Cite this

Ergonomic chair design by fusing qualitative and quantitative criteria using interactive genetic algorithms. / Brintrup, Alexandra Melike; Ramsden, Jeremy; Takagi, Hideyuki; Tiwari, Ashutosh.

In: IEEE Transactions on Evolutionary Computation, Vol. 12, No. 3, 01.12.2008, p. 343-354.

Research output: Contribution to journalArticle

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