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Research Article

Research on multi-objective optimisation of product form design based on kansei engineering

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Pages 1023-1048 | Received 17 Sep 2023, Accepted 03 May 2024, Published online: 23 May 2024

References

  • Behzadian, M., S. Khanmohammadi Otaghsara, M. Yazdani, and J. Ignatius. 2012. “A State-of the-art Survey of Topsis Applications.” Expert Systems with Applications 39 (17): 13051–13069. https://doi.org/10.1016/j.eswa.2012.05.056.
  • Chen, W., H. Ishibuchi, and K. Shang. 2019. “Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-Objective Optimization Algorithmsed.” 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1826–1833. https://doi.org/10.1109/SSCI44817.2019.9002906.
  • Cheng, R., Y. Jin, M. Olhofer, and B. Sendhoff. 2016. “A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization.” IEEE Transactions on Evolutionary Computation 20 (5): 773–791. https://doi.org/10.1109/TEVC.2016.2519378.
  • Cheng, Y., X. Xu, G. Chen, L. Sun, and J. Wu. 2021. “Image Prediction Model of Electric Vehicle Based on Neural Network.” Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS 27 (4): 1135–1145. https://doi.org/10.13196/j.cims.2021.04.018.
  • Coello, C.a.C., and N. C. Cortés. 2005. “Solving Multiobjective Optimization Problems Using an Artificial Immune System.” Genetic Programming and Evolvable Machines 6 (2): 163–190. https://doi.org/10.1007/s10710-005-6164-x.
  • Cornell, J. A. 1843. Experiments with mixtures: Designs, models, and the analysis of mixture data: Wiley-interscience.
  • Dai, L., Z. Kang, R. Chen, and L. Wang. 2024. “Study on Multi-Objective Maintenance Decision Optimization for Bridge Networks Based on Nsga-iii.” Tumu Gongcheng Xuebao/China Civil Engineering Journal 57 (05): 41–52. https://doi.org/10.15951/j.tmgcxb.23010043.
  • Deb, K., and H. Jain. 2014. “An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part i: Solving Problems with box Constraints.” IEEE Transactions on Evolutionary Computation 18 (4): 577–601. https://doi.org/10.1109/TEVC.2013.2281535.
  • Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. “A Fast and Elitist Multiobjective Genetic Algorithm: Nsga-ii.” IEEE Transactions on Evolutionary Computation 6 (2): 182–197. https://doi.org/10.1109/4235.996017.
  • Dong, N., T. Zhang, R. Wang, X. Liao, and L. Wang. 2024. “An Evolutionary Algorithm Based on Fully Connected Weight Networks for Mixed-Variable Multi-Objective Optimization.” Information Sciences 659: 120053. https://doi.org/10.1016/j.ins.2023.120053.
  • Fung, K. Y., C. K. Kwong, K. W. M. Siu, and K. M. Yu. 2012. “A Multi-Objective Genetic Algorithm Approach to Rule Mining for Affective Product Design.” Expert Systems with Applications 39 (8): 7411–127419. https://doi.org/10.1016/j.eswa.2012.01.065.
  • Gao, W. F., L. L. Liu, Z. K. Wang, and M. G. Gong. 2023. “Survey on Multiobjective Optimization Evolutionary Algorithm Based on Decomposition.” Ruan Jian Xue Bao/Journal of Software 34 (10): 4743–4771. https://doi.org/10.13328/j.cnki.jos.006672.
  • Guo, F., W. L. Liu, F. T. Liu, H. Wang, and T. B. Wang. 2014. “Emotional Design Method of Product Presented in Multi-Dimensional Variables Based on Kansei Engineering.” Journal of Engineering Design 25 (4-6): 194–212. https://doi.org/10.1080/09544828.2014.944488.
  • Hsiao, S.-W., F.-Y. Chiu, and S.-H. Lu. 2010. “Product-form Design Model Based on Genetic Algorithms.” International Journal of Industrial Ergonomics 40 (3): 237–246. https://doi.org/10.1016/j.ergon.2010.01.009.
  • Hsiao, S.-W., and H.-C. Tsai. 2005. “Applying a Hybrid Approach Based on Fuzzy Neural Network and Genetic Algorithm to Product Form Design.” International Journal of Industrial Ergonomics 35 (5): 411–428. https://doi.org/10.1016/j.ergon.2004.10.007.
  • Hsiao, S.-W., and H.-P. Wang. 1998. “Applying the Semantic Transformation Method to Product Form Design.” Design Studies 19 (3): 309–330. https://doi.org/10.1016/S0142-694X(98)00009-X.
  • Hsu, S. H., M. C. Chuang, and C. C. Chang. 2000. “A Semantic Differential Study of Designers’ and Users’ Product Form Perception.” International Journal of Industrial Ergonomics 25 (4): 375–391. https://doi.org/10.1016/S0169-8141(99)00026-8.
  • Jiang, H., C. K. Kwong, Y. Liu, and W. H. Ip. 2015. “A Methodology of Integrating Affective Design with Defining Engineering Specifications for Product Design.” International Journal of Production Research 53 (8): 2472–2488. https://doi.org/10.1080/00207543.2014.975372.
  • Khalid, H. M., and M. G. Helander. 2004. “A Framework for Affective Customer Needs in Product Design.” Theoretical Issues in Ergonomics Science 5 (1): 27–42. https://doi.org/10.1080/1463922031000086744.
  • Li, Y., M.-D. Shieh, and C.-C. Yang. 2019. “A Posterior Preference Articulation Approach to Kansei Engineering System for Product Form Design.” Research in Engineering Design 30 (1): 3–19. https://doi.org/10.1007/s00163-018-0297-4.
  • Li, Z., Z. Tian, J. Wang, W. Wang, and G. Huang. 2018a. “Dynamic Mapping of Design Elements and Affective Responses: A Machine Learning Based Method for Affective Design.” Journal of Engineering Design 29 (7): 358–380. https://doi.org/10.1080/09544828.2018.1471671.
  • Li, Z., Z. G. Tian, J. W. Wang, W. M. Wang, and G. Q. Huang. 2018b. “Dynamic Mapping of Design Elements and Affective Responses: A Machine Learning Based Method for Affective Design.” Journal of Engineering Design 29 (7): 358–380. https://doi.org/10.1080/09544828.2018.1471671.
  • Lin, Y.-C., and C.-C. Wei. 2017. “A Hybrid Consumer-Oriented Model for Product Affective Design: An Aspect of Visual Ergonomics.” Human Factors and Ergonomics in Manufacturing & Service Industries 27 (1): 17–29. https://doi.org/10.1002/hfm.20403.
  • Liu, Q., X. Li, H. Liu, and Z. Guo. 2020. “Multi-objective Metaheuristics for Discrete Optimization Problems: A Review of the State-of-the-art.” Applied Soft Computing 93: 106382. https://doi.org/10.1016/j.asoc.2020.106382.
  • Liu, X., and S. Yang. 2022. “Study on Product Form Design via Kansei Engineering and Virtual Reality.” Journal of Engineering Design 33 (6): 412–106440. https://doi.org/10.1080/09544828.2022.2078660.
  • Lo, C.-H., Y.-C. Ko, and S.-W. Hsiao. 2015. “A Study That Applies Aesthetic Theory and Genetic Algorithms to Product Form Optimization.” Advanced Engineering Informatics 29 (3): 662–679. https://doi.org/10.1016/j.aei.2015.06.004.
  • Lu, P., and S.-W. Hsiao. 2022. “A Product Design Method for Form and Color Matching Based on Aesthetic Theory.” Advanced Engineering Informatics 53: 101702. https://doi.org/10.1016/j.aei.2022.101702.
  • Luo, S., H. Lin, Y. Hu, and C. Fang. 2022. “Preliminary Study on the Aesthetic Preference for Taillight Shape Design.” International Journal of Industrial Ergonomics 87: 103240. https://doi.org/10.1016/j.ergon.2021.103240.
  • Nagamachi, M. 2016. Kansei/Affective Engineering. Boca Raton: CRC press.
  • Osgood, C. E., G. J. Suci, and P. H. Tannenbaum. 1957. The Measurement of Meaning. Urbana: University of Illinois press.
  • Shieh, M.-D., Y. Li, and C.-C. Yang. 2017. “Product Form Design Model Based on Multiobjective Optimization and Multicriteria Decision-Making.” Mathematical Problems in Engineering 2017: 1–15. https://doi.org/10.1155/2017/5187521.
  • Shieh, M.-D., Y. Li, and C.-C. Yang. 2018. “Comparison of Multi-Objective Evolutionary Algorithms in Hybrid Kansei Engineering System for Product Form Design.” Advanced Engineering Informatics 36: 31–42. https://doi.org/10.1016/j.aei.2018.02.002.
  • Su, J. N., Q. W. Zhang, J. H. Wu, and Y. Liu. 2014. “Evolutionary Design of Product Multi-Image Styling.” Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS 20 (11): 2675–2682. https://doi.org/10.13196/j.cims201411004.
  • Tang, F. L., S. H. Lai, and Q. S. Yu. 2021. “Overview of Serialized China Standard Metro Train.” Electric Locomotives & Mass Transit Vehicles 44 (5): 1–8. https://doi.org/10.16212/j.cnki.1672-1187.2021.05.001.
  • Van Veldhuizen, D. A., and G. B. Lamont. 1998. "Evolutionary computation and convergence to a pareto fronted." Late breaking papers at the genetic programming 1998 conference, Citeseer, 221-228.
  • Wang, C.-H. 2015. “Integrating Kansei Engineering with Conjoint Analysis to Fulfil Market Segmentation and Product Customisation for Digital Cameras.” International Journal of Production Research 53 (8): 2427–2438. https://doi.org/10.1080/00207543.2014.974840.
  • Wang, Z., W. Liu, and M. Yang. 2022a. “Data-driven Multi-Objective Affective Product Design Integrating Three-Dimensional Form and Color.” Neural Computing and Applications 34 (18): 15835–15861. https://doi.org/10.1007/s00521-022-07232-2.
  • Wang, Z., W. Liu, M. Yang, and D.J.a.S. Han. 2019. “A Multi-Objective Evolutionary Algorithm Model for Product Form Design Based on Improved spea2.” Applied Sciences 9 (14): 2944. https://doi.org/10.3390/app9142944.
  • Wang, L. P., Y. Ren, Q. C. Qiu, and F. Y. Qiu. 2021. “Survey on Performance Indicators for Multi-Objective Evolutionary Algorithms.” Jisuanji Xuebao/Chinese Journal of Computers 44 (8): 1590–1619. https://doi.org/10.11897/SP.J.1016.2021.01590.
  • Wang, M., Y. Zhang, Y. Lu, X. Wan, B. Xu, and L. Yu. 2022b. “Comparison of Multi-Objective Genetic Algorithms for Optimization of Cascade Reservoir Systems.” Journal of Water and Climate Change 13 (11): 4069–4086. https://doi.org/10.2166/wcc.2022.290.
  • Wang, L., Q. Zhang, A. Zhou, M. Gong, and L. Jiao. 2016. “Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm.” IEEE Transactions on Evolutionary Computation 20 (3): 475–480. https://doi.org/10.1109/TEVC.2015.2457616.
  • Wolpert, D. H., and W. G. Macready. 1997. “No Free Lunch Theorems for Optimization.” IEEE Transactions on Evolutionary Computation 1 (1): 67–82. https://doi.org/10.1109/4235.585893.
  • Wu, Y., L. Ma, X. Yuan, and Q. Li. 2023. “Human–Machine Hybrid Intelligence for the Generation of car Frontal Forms.” Advanced Engineering Informatics 55: 101906. https://doi.org/10.1016/j.aei.2023.101906.
  • Xiang, Z., J. Zhi, R. Li, X. Xu, and G. Xu. 2021. “Review on Industrial Design of Urban Rail Vehicles in China.” Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University 56 (6): 1319–101328. https://doi.org/10.3969/j.issn.0258-2724.20200133.
  • Xu, G., Z. Feng, and E. Guo. 2023. “Many-objective Optimization Design for Trirocker Working Mechanism of Face-Shovel Hydraulic Excavator.” Journal of Mechanical Engineering 59 (3): 54–65. https://doi.org/10.3901/JME.2023.03.054.
  • Yang, C.-C. 2011. “Constructing a Hybrid Kansei Engineering System Based on Multiple Affective Responses: Application to Product Form Design.” Computers & Industrial Engineering 60 (4): 760–768. https://doi.org/10.1016/j.cie.2011.01.011.
  • Yang, C., F. Liu, and J. Ye. 2023. “A Product Form Design Method Integrating Kansei Engineering and Diffusion Model.” Advanced Engineering Informatics 57: 102058. https://doi.org/10.1016/j.aei.2023.102058.
  • Zhang, Q., and H. Li. 2007. “Moea/d: A Multiobjective Evolutionary Algorithm Based on Decomposition.” IEEE Transactions on Evolutionary Computation 11 (6): 712–102731. https://doi.org/10.1109/TEVC.2007.892759.
  • Zhou, A., Y. Jin, Q. Zhang, B. Sendhoff, and E. Tsang. 2006. “Combining Model-Based and Genetics-Based Offspring Generation for Multi-Objective Optimization Using a Convergence Criterioned.” 2006 IEEE International Conference on Evolutionary Computation, 892–899. https://doi.org/10.1109/CEC.2006.1688406.
  • Zhu, X., C. Jiang, K. Hao, and R. Wang. 2023. “High-dimensional Interactive Adaptive Rvea for Multi-Objective Optimization of Polyester Polymerization Process.” Information Sciences 650: 119707. https://doi.org/10.1016/j.ins.2023.119707.
  • Zitzler, E., M. Laumanns, and L. Thiele. 2001. Spea2: Improving the strength pareto evolutionary algorithm.
  • Zou, J., and P. Li. 2020. “Modelling of Litchi Shelf Life Based on the Entropy Weight Method.” Food Packaging and Shelf Life 25: 100509. https://doi.org/10.1016/j.fpsl.2020.100509.

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