A guided search genetic algorithm using mined rules for optimal affective product design

References

• Agrawal, R. B., K. Deb, K. Deb, and R. B. Agrawal. 1995. “Simulated Binary Crossover for Continuous Search Space.” Complex Systems 9: 115–148.
   Google Scholar
• Aktar, Demirtas, E., A. S. Anagun, and G. Koksal. 2009. “Determination of Optimal Product Styles by Ordinal Logistic Regression Versus Conjoint Analysis for Kitchen Faucets.” International Journal of Industrial Ergonomics 39 (5): 866–875. doi: 10.1016/j.ergon.2009.06.007
   Web of Science ®Google Scholar
• Barnes, C., and S. P. Lillford. 2007. “Affective Design Decision-making—Issues and Opportunities.” CoDesign: International Journal of CoCreation in Design and the Arts 3 (Suppl. 1): 135.
   Google Scholar
• Barnes, C., and S. P. Lillford. 2009. “Decision Support for the Design of Affective Products.” Journal of Engineering Design 20 (5): 477. doi: 10.1080/09544820902875041
   Web of Science ®Google Scholar
• Barone, S., A. Lombardo, and P. Tarantino. 2007. “A Weighted Logistic Regression for Conjoint Analysis and Kansei Engineering.” Quality and Reliability Engineering International 23 (6): 689–706. doi: 10.1002/qre.866
   Web of Science ®Google Scholar
• Catalano, C. E., B. Falcidieno, F. Giannini, and M. Monti. 2002. “A Survey of Computer-Aided Modeling Tools for Aesthetic Design.” Journal of Computing and Information Science in Engineering 2 (1): 11–20. doi: 10.1115/1.1481371
   Google Scholar
• Chakraborty, I., V. Kumar, S. B. Nair, and R. Tiwari. 2003. “Rolling Elements Bearing Design Through Genetic Algorithms.” Engineering Optimization 35 (6): 649–659. doi: 10.1080/03052150310001624403
   Web of Science ®Google Scholar
• Chen, C.-H., L. P. Khoo, and W. Yan. 2006. “An Investigation into Affective Design Using Sorting Technique and Kohonen Self-organising Map.” Advances in Engineering Software 37 (5): 334–349. doi: 10.1016/j.advengsoft.2005.07.001
   Web of Science ®Google Scholar
• Creusen, M. E. H., and J. P. L. Schoormans. 2005. “The Different Roles of Product Appearance in Consumer Choice.” Journal of Product Innovation Management 22 (1): 63–81. doi: 10.1111/j.0737-6782.2005.00103.x
   Web of Science ®Google Scholar
• Crilly, N., J. Moultrie, and P. J. Clarkson. 2004. “Seeing Things: Consumer Response to the Visual Domain in Product Design.” Design Studies 25 (6): 547–577. doi: 10.1016/j.destud.2004.03.001
   Web of Science ®Google Scholar
• 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. doi: 10.1109/4235.996017
   Web of Science ®Google Scholar
• Demirbilek, O., and B. Sener. 2003. “Product Design, Semantics and Emotional Response.” Ergonomics 46 (13): 1346–1360. doi: 10.1080/00140130310001610874
   PubMed Web of Science ®Google Scholar
• D'Souza, Bryan and Timothy W. Simpson. 2003. “A Genetic Algorithm Based Method for Product Family Design Optimization.” Engineering Optimization 35 (1): 1–18. doi: 10.1080/0305215031000069663
   Web of Science ®Google Scholar
• Fung, K. Y., C. K. Kwong, 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): 7411–7419. doi: 10.1016/j.eswa.2012.01.065
   Web of Science ®Google Scholar
• Hsiao, S.-W., and M. C. Liu. 2002. “A Morphing Method for Shape Generation and Image Prediction in Product Design.” Design Studies 23 (6): 533–556. doi: 10.1016/S0142-694X(01)00028-X
   Google Scholar
• 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. doi: 10.1016/j.ergon.2004.10.007
   Web of Science ®Google Scholar
• Jiao, R. J., Q. Xu, J. Du, Y. Zhang, M. Helander, H. M. Khalid, P. Helo, and C. Ni. 2008. “Analytical Affective Design with Ambient Intelligence for Mass Customization and Personalization.” International Journal of Flexible Manufacturing Systems 19 (4): 570–595. doi: 10.1007/s10696-008-9032-1
   Google Scholar
• Jiao, J., Y. Zhang, and M. Helander. 2006. “A Kansei Mining System for Affective Design.” Expert Systems with Applications 30 (4): 658–673. doi: 10.1016/j.eswa.2005.07.020
   Web of Science ®Google Scholar
• Jiao, J. (Roger), Y. Zhang, and Y. Wang. 2007. “A Heuristic Genetic Algorithm for Product Portfolio Planning.” Computers & Operations Research 34 (6): 1777–1799. doi: 10.1016/j.cor.2005.05.033
   Web of Science ®Google Scholar
• Kaplan, S., and G. Rabadi. 2013. “Simulated Annealing and Metaheuristic for Randomized Priority Search Algorithms for the Aerial Refueling Parallel Machine Scheduling Problem with Due Date-to-Deadline Windows and Release Times.” Engineering Optimization 45 (1): 67–87. doi: 10.1080/0305215X.2012.658783
   Web of Science ®Google Scholar
• 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.
   Google Scholar
• Kim, H.-S., and S.-B. Cho. 2000. “Application of Interactive Genetic Algorithm to Fashion Design.” Engineering Applications of Artificial Intelligence 13 (6): 635–644. doi: 10.1016/S0952-1976(00)00045-2
   Web of Science ®Google Scholar
• Kuang, J., and P. Jiang. 2008. “Product Platform Design for a Product Family Based on Kansei Engineering.” Journal of Engineering Design 20 (6): 589–607. doi: 10.1080/09544820802132410
   Web of Science ®Google Scholar
• Kwong, C. K., T. C. Wong, and K. Y. Chan. 2009. “A Methodology of Generating Customer Satisfaction Models for New Product Development Using a Neuro-fuzzy Approach.” Expert Systems with Applications 36 (8): 11262–11270. doi: 10.1016/j.eswa.2009.02.094
   Web of Science ®Google Scholar
• Lai, H. H., Y. M. Chang, and H. C. Chang. 2005a. “A Robust Design Approach for Enhancing the Feeling Quality of a Product: A Car Profile Case Study.” International Journal of Industrial Ergonomics 35 (5): 445–460. doi: 10.1016/j.ergon.2004.10.008
   Web of Science ®Google Scholar
• Lin, Y.-C., C.-H. Yeh, and C.-H. Hung. 2008. “A Neural Network Approach to the Optimal Combination of Product Color Design.” In Proceedings, Fourth International Conference on Networked Computing and Advanced Information Management, 2008, 1: 53–57.
   Google Scholar
• Liu, Y. 2003. “Engineering Aesthetics and Aesthetic Ergonomics: Theoretical Foundations and a Dual-Process Research Methodology.” Ergonomics 46 (13): 1273–1292. doi: 10.1080/00140130310001610829
   PubMed Web of Science ®Google Scholar
• Mishra, E. A. K., E. Y. Mohapatra, and E. A. K. Mishra. 2013. “Multi-Objective Genetic Algorithm: A Comprehensive Survey.” International Journal of Emerging Technology and Advanced Engineering 3 (2): 81–90.
   Google Scholar
• Nagamachi, M. 1995. “Kansei Engineering: A New Ergonomic Consumer-oriented Technology for Product Development.” International Journal of Industrial Ergonomics 15 (1): 3–11. doi: 10.1016/0169-8141(94)00052-5
   Web of Science ®Google Scholar
• Nagamachi, M. 2002. “Kansei Engineering as a Powerful Consumer-Oriented Technology for Product Development.” Applied Ergonomics 33 (3): 289–294. doi: 10.1016/S0003-6870(02)00019-4
   PubMed Web of Science ®Google Scholar
• Nagamachi, M. 2008. “Perspectives and the New Trend of Kansei/Affective Engineering.” TQM Journal 20 (4): 290–298. doi: 10.1108/17542730810881285
   Google Scholar
• Noble, C. H., and M. Kumar. 2008. “Using Product Design Strategically to Create Deeper Consumer Connections.” Business Horizons 51 (5): 441–450. doi: 10.1016/j.bushor.2008.03.006
   Web of Science ®Google Scholar
• Park, J., and S. H. Han. 2004. “A Fuzzy Rule-based Approach to Modeling Affective User Satisfaction Towards Office Chair Design.” International Journal of Industrial Ergonomics 34 (1): 31–47. doi: 10.1016/j.ergon.2004.01.006
   Web of Science ®Google Scholar
• Saridakis, K. M., and A. J. Dentsoras. 2008. “Soft Computing in Engineering Design—A Review.” Advanced Engineering Informatics 22 (2): 202–221. doi: 10.1016/j.aei.2007.10.001
   Web of Science ®Google Scholar
• Schütte, S., and J. Eklund. 2005. “Design of Rocker Switches for Work-Vehicles—An Application of Kansei Engineering.” Applied Ergonomics 36 (5): 557–567. doi: 10.1016/j.apergo.2005.02.002
   PubMed Web of Science ®Google Scholar
• Sivakumar, R. 2012. “A Performance Study of Real Coded Genetic Algorithm on Gear Design Optimization.” Advanced Material Research 622–623: 64–68. doi: 10.4028/www.scientific.net/AMR.622-623.64
   Google Scholar
• Velasco, N., P. Dejax, C. Gueret, and C. Prins. 2012. “A Non-dominated Sorting Genetic Algorithm for a Bi-objective Pick-up and Delivery Problem.” Engineering Optimization 44 (3): 305–325. doi: 10.1080/0305215X.2011.639368
   Web of Science ®Google Scholar
• Yanagisawa, H., and S. Fukuda. 2005. “Interactive Reduct Evolutional Computation for Aesthetic Design.” Journal of Computing and Information Science in Engineering 5 (1): 1–7. doi: 10.1115/1.1846055
   Web of Science ®Google Scholar
• Yang, C.-C., and M.-D. Shieh. 2010. “A Support Vector Regression Based Prediction Model of Affective Responses for Product form Design.” Computers & Industrial Engineering 59 (4): 682–689. doi: 10.1016/j.cie.2010.07.019
   Web of Science ®Google Scholar