Multi-stage interactive genetic algorithm for collaborative product customization

Knowledge-Based Systems

Volumn 92, Issue , 2016, Pages 43-54

  Dou, Runliang ^a   Zong, Chao ^a   Nan, Guofang ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Interactive genetic algorithm; Personalized demand; Product customization; Stage evolution

Indexed keywords

ALGORITHMS; COMPETITION; CONCEPTUAL DESIGN; DESIGN; EVOLUTIONARY ALGORITHMS; FATIGUE TESTING; GENETIC ALGORITHMS; MARKETING; OPTIMIZATION; PERSONAL COMPUTERS; PRODUCT DEVELOPMENT; SALES; SMARTPHONES;

COLLABORATIVE PRODUCT CUSTOMIZATION; CONCEPTUAL DESIGN SYSTEM; FUNCTIONAL REQUIREMENT; INTERACTIVE GENETIC ALGORITHM; OPTIMIZATION PROBLEMS; PERSONALIZED DEMAND; PROCESS OF EVOLUTION; PRODUCT CUSTOMIZATION;

PRODUCT DESIGN;

EID: 85014829217     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2015.10.013     Document Type: Article

References (41)

1. Z. Wang, L. Chen, X. Zhao, W. Zhou Modularity in building mass customization capability: the mediating effects of customization knowledge utilization and business process improvement Technovation 34 11 2014 678 687
2. I. Gremyr, V. Siva, H. Raharjo, T.N. Goh Adapting the robust design methodology to support sustainable product development J. Clean. Prod. 79 2014 231 238
3. D.A. Griffith, G. Rubera A cross-cultural investigation of new product strategies for technological and design innovations J. Int. Market. 22 1 2014 5 20
4. Y. Gao, G. Zhang, J. Lu, H.M. Wee Particle swarm optimization for bi-level pricing problems in supply chains J. Global Optim. 51 2 2011 245 254
5. F. Li, T. Wu, M. Hu. Design of a decentralized framework for collaborative product design using memetic algorithms Optim. Eng. 15 3 2014 657 676
6. G.D. Yu, Y. Yang, X. Zhao, G. Li. Multi-objective rescheduling model for product collaborative design considering disturbance Int. J. Simul. Model. 13 4 2014 472 484
7. R. Dawkins The Blind Watchmaker 1986 Essex U. K. Longman
8. H. Takagi Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation Proc. IEEE 89 9 2001 1275 1296
9. K. Aoki, H. Takagi 3-D CG lighting with an interactive GA Proceedings of 1st International Conference on Conventional and Knowledge-Based Intelligent Electronic Systems 1997 296 301
10. J. Xu, Y. Wang, Z. Tao Rough approximation based strategy model between a green building developer and a contractor under a fuzzy environment Knowl. Based Syst. 46 2013 54 68
11. Y. Li, J. Yu, D. Tao. Genetic algorithm for spanning tree construction in p2p distributed interactive applications. Neurocomputing, 140(2014) 185-192.
12. S.W. Hsiao, C.F. Hsu, K.W. Tang A consultation and simulation system for product color planning based on interactive genetic algorithms Color Res. Appl. 38 5 2013 375 390
13. L. Garcia-Hernandez, H. Pierreval, L. Salas-Morera, A. Arauzo-Azofra Handling qualitative aspects in unequal area facility layout problem: an interactive genetic algorithm Appl. Soft Comput. 13 4 2013 1718 1727
14. R. Noorossana, A. Zadbood, F. Zandi, K. Noghondarian An interactive artificial neural networks approach to multi response optimization Int. J. Adv. Manuf. Technol. 76 5-8 2015 765 777
15. H. Masoud, S. Jalili A clustering-based model for class responsibility assignment problem in object-oriented analysis J. Syst. Softw. 93 2014 110 131
16. X. Llorà, K. Sastry, D.E. Goldberg, A. Gupta, L. Lakshmi Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness H.G. Beyer Proceedings of the Gecco 2005: Genetic and Evolutionary Computation Conference 1-2 2005
17. F.C. Hsu, P. Huang Providing an appropriate search space to solve the fatigue problem in interactive evolutionary computation New Gener. Comput. 23 2 2005 115 127
18. A.T. Machwe, I.C. Parmee Reducing user fatigue within an interactive evolutionary design system using clustering and case-based reasoning Eng. Optim. 41 9 2009 871 887
19. T. Kowaliw, A. Dorin, J. McCormack Promoting creative design in interactive evolutionary computation IEEE Trans. Evolut. Comput. 16 4 2012 523 536
20. X. Sun, D. Gong, W. Zhang Interactive genetic algorithms with large population and semi-supervised learning Appl. Soft Comput. 12 9 2012 3004 3013
21. P.Y. Mok, J. Xu, X.X. Wang, J.T. Fan, Y.L. Kwok, J.H. Xin An IGA-based design support system for realistic and practical fashion designs Comput. Aided Des. 45 11 2013 1442 1458
22. S.W. Hsiao, C.F. Hsu, K.W. Tang A consultation and simulation system for product color planning based on interactive genetic algorithms Color Res. Appl. 38 5 2013 375 390
23. F.T. Piller, K. Moeslein, C.M. Stotko Does mass customization pay? an economic approach to evaluate customer integration Prod. Plan. Control 15 4 2004 435 444
24. G. Hong, P. Dean, W. Yang, Y.L. Tu, D. Xue Optimal concurrent product design and process planning based on the requirements of individual customers in one-of-a-kind production Int. J. Prod. Res. 48 21 2010 6341 6366
25. J. Buffington, M. Amini, T. Keskinturk Development of a product design and supply-chain fulfillment system for discontinuous innovation Int. J. Prod. Res. 50 14 2012 3776 3785
26. H.E. Tseng, C.C. Chang, S.H. Chang Applying case-based reasoning for product configuration in mass customization environments Expert Syst. Appl. 29 4 2005 913 925
27. H. Fujita, J. Hakura, M. Kurematu Intelligent human interface based on mental cloning-based software Knowl. Based Syst. 22 3 2009 216 234
28. Y. Kristianto, P. Helo, R.J. Jiao Mass customization design of engineer-to-order products using benders' decomposition and bi-level stochastic programming J. Intel. Manuf. 24 5 2013 961 975
29. J. Zeng, S. Zhang, C. Wu. A framework for www user activity analysis based on user interest Knowl. Based Syst. 21 8 2008 905 910
30. H. Takagi Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation Proc. IEEE 89 9 2001 1275 1296
31. H.S. Kim, S.B. Cho Application of interactive genetic algorithm to fashion design Eng. Appl. Artif. Intel. 13 6 2000 635 644
32. S. Thirumalai, K.K. Sinha Customization of the online purchase process in electronic retailing and customer satisfaction: An online field study J. Oper. Manag. 29 5 2011 477 487
33. Y. Suga, Y. Ikuma, D. Nagao, S. Sugano, T. Ogata Interactive evolution of human-robot communication in real world. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems 1-4 2005
34. Q. Li, T. Nakamura, Y.Y. Chao, L.F. He, H. Itoh Image color transfer with region matching based on IEC Proceedings of the IEEE Congress on Evolutionary Computation 1-3 2005
35. L. Rodriguez, L. Diago, I. Hagiwara Interactive genetic algorithm with fitness modeling for the development of a color simulation system based on customer's preference Jpn. J. Ind. Appl. Math. 28 1 2011 27 42
36. H. Takagi, M. Ohsaki Interactive evolutionary computation-based hearing aid fitting IEEE Trans. Evolut. Comput. 11 3 2007 414 427
37. T. Kowaliw, A. Dorin, J. McCormack Promoting creative design in interactive evolutionary computation IEEE Trans. Evolut. Comput. 16 4 2012 523 536
38. H.W. Yoo, S.B. Cho Video scene retrieval with interactive genetic algorithm Multimed. Tools Appl. 34 3 2007 317 336
39. X. Sun, D. Gong, W. Zhang Interactive genetic algorithms with large population and semi-supervised learning Appl. Soft Comput. 12 9 2012 3004 3013
40. R. Dou, C. Zong Application of interactive genetic algorithm based on hesitancy degree in product configuration for customer requirement Int. J. Comput. Intel. Syst. 7 2014 74 84
41. S.W. Hsiao, C.F. Hsu, K.W. Tang A consultation and simulation system for product color planning based on interactive genetic algorithms Color Res. Appl. 38 5 2013 375 390