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

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Alexandra Melike Brintrup, Jeremy Ramsden, Hideyuki Takagi, and Ashutosh Tiwari: Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria using Interactive Genetic Algorithms. IEEE Transactions on Evolutionary Computation, vol.12, no.3,pp.343-354 (2008).



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.

Extended Abstract


Used References

A. Brintrup , J. Ramsden and A. Tiwari "Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation", Proc. IEEE Cong. Evol. Comput. (CEC2005), vol. 3, pp.2154 -2160 2005

A. Brintrup , J. Ramsden and A. Tiwari "A review on design optimization with interactive evolutionary computation", Proc. Online World Soft Comput. Conf., 2005

B. Shackel , K. D. Chidsey and P. Shipley "The assessment of chair comfort", Ergonomics, vol. 12, no. 2, pp.269 -306 1969

K. Deb S. Ross and R. Weber Wile Interscience Series in Systems and Optimization, 2001 :Wiley

H. Takagi "Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation", Proc. IEEE, vol. 89, no. 9, pp.1275 -1296 2001

I. C. Parmee Artificial Intelligence For Engineering Design, Analysis and Manufacturing, vol. 16, pp.185 -202 2002 :Cambridge Univ. Press

V. Oduguwa , A. Tiwari and R. Roy "Handling integrated quantitative and qualitative search space in a real world optimization problem", Proc. 2003 Congr. Evol. Comput., pp.1222 -1229 2003

T. Inoue , T. Furuhashi and M. Fujii "Development of nurse scheduling support system using interactive evolutionary algorithms", Proc. IEEE Int. Conf. Syst., Man, Cybern., vol. 5, pp.533 -537 1999

D. Levine , M. Facello and P. Hallstrom "Stalk: An interactive system for virtual molecular docking", IEEE Computational Sci. Eng., vol. 4, no. 2, pp.55 -65 1997

M. R. N. Shackelford and D. W. Corne "Collaborative evolutionary multi-project resource scheduling", Proc. Congr. Evol. Comput., pp.1131 -1138 2001

R. Kamalian , H. Takagi and A. Agogino "Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation", Proc. Genetic Evol. Comput. Conf., pp.1030 -1041 2004

A. Brintrup , A. Tiwari and J. Gao "Handling qualitativeness in evolutionary multiple objective engineering design optimization", Enformatica, vol. 1, no. 1, pp.236 -240 2004

A. Brintrup , H. Takagi , A. Tiwari and J. Ramsden "Evaluation of sequential, multi-objective and parallel interactive genetic algorithms for multi-objective optimization problems", J. Biol. Phys. Chem., vol. 6, no. 3, pp.137 -146 2006

A. Machwe , I. C. Parmee and J. C. Miles "Integrating aesthetic criteria with a user-centric evolutionary system via a component based design representation", Proc. Int. Conf. Eng. Design, 2005

A. Machwe and I. C. Parmee "Integrating aesthetic criteria with evolutionary processes in complex, free-form design—an initial investigation", Proc. IEEE Cong. Evol. Comput. (CEC2006), pp.165 -172 2007

E. Grandjean , W. Hunting and M. Pidermann "VDT workstation design: Preferred settings and their effects", Human Factors, vol. 15, no. 2, pp.161 -175 1983

A. R. Tilley The Measure of Man and Woman: Human Factors in Design, 2002 :Wiley

E. Cantu-Paz Efficient and Accurate Parallel Genetic Algorithms, 2000 :Kluwer

D. A. Van Veldhuizen , J. B. Zydallis and G. B. Lamont "Considerations in engineering parallel multiobjective evolutionary algorithms", IEEE Trans. Evol. Comput., vol. 7, no. 2, pp.144 -173 2003

T. Hiroyasu , M. Miki and S. Watanabe "The new model of parallel genetic algorithm in multi-objective optimization problems-divided range multi-objective genetic algorithms", Proc. IEEE Congr. Evol. Comput., vol. 1, pp.333 -340 2000

K. Deb , S. Agrawal , A. Pratap and T. Meyarivan "A fast elitist non dominated sorting genetic algorithm for multi objective optimization: NSGA-2", Proc. Parallel Problem Solving from Nature (PPSN2000), pp.858 -862 2000

H. Takagi , S. Wang and S. Nakano "Proposal for a framework for optimizing artificial environments based on physiological feedback", J. Physiol. Anthropology Appl. Human Sci., vol. 24, no. 1, pp.77 -80 2005

A. Machwe , I. C. Parmee and J. C. Miles "Multi-objective analysis of a component based representation within an interactive evolutionary design system", Proc. 7th Int. Conf. Adaptive Comput. Design, Manuf., 2006

S. Wang and H. Takagi "Improving the performance of predicting users\' subjective evaluation characteristics to reduce their fatigue in IEC", J. Physiological Anthropology Appl Human Sci., vol. 24, no. 1, pp.81 -85 2005

A. Machwe and I. C. Parmee "Introducing Machine Learning within an Interactive Evolutionary Design Environment", Proc. Design, pp.1 -8 2006


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