Reducing user fatigue within an interactive evolutionary design system using clustering and case-based reasoning

References

• Bentley , P. J. 1999 . Evolutionary design by computers , 1 , Edited by: Bentley , P. J. San Francisco : Morgan–Kaufmann .
   Google Scholar
• Bentley , P. J. and Corne , D. W. 2002 . Creative evolutionary systems , 1 , Edited by: Bentley , P. J. and Corne , D. W. San Francisco : Morgan–Kauffmann .
   Google Scholar
• Brintrup , A. and Takagi , H. The effect of user interaction mechanisms in multi-objective IGA . Genetic and Evolutionary Computation Conference 2007 (GECCO 07) . London, England. pp. 2629 – 2632 . New York : ACM .
   Google Scholar
• Brintrup , A. , Ramsden , J. and Tiwari , A. 2007 . An interactive genetic algorithm based framework for handling qualitative criteria in design optimization . Journal of Computers in Industry , 58 ( 3 ) : 279 – 291 .
   Web of Science ®Google Scholar
• Carnahan , B. and Dorris , N. Identifying relevant symbol design criteria using interactive evolutionary computation . Proceedings of the Genetic and Evolutionary Computing Conference (GECCO) 2004 . Seattle, USA. pp. 2777 – 2304 . New York : ACM .
   Google Scholar
• Cvetkovic , D. and Parmee , I. C. 2001 . Preferences and their application in evolutionary multiobjective optimisation . IEEE Transactions on Evolutionary Computation , 6 ( 1 ) : 42 – 57 .
   Web of Science ®Google Scholar
• Eiben , A. E. and Smith , J. E. 2003 . Introduction to evolutionary computation: Natural computing series , Germany : Springer–Verlag .
   Google Scholar
• Inoue , T. , Furuhashi , T. Fujii , M. Development of nurse scheduling support system using interactive evolutionary algorithms . Proceedings: IEEE International Conference on Systems, Man and Cybernetics . pp. 533 – 537 . New York : IEEE Press .
   Google Scholar
• Jaksa , R. , Nakano , S. and Takagi , H. Image filter design with interactive evolutionary computation . Proceedings of the International Conference on Computational Cybernetics 2003 . Hungary.
   Google Scholar
• Kim , H.-S. and Cho , S.-B. An efficient genetic algorithm with less fitness evaluation by clustering . Proceedings of the 2001 IEEE Congress on Evolutionary Computation . Seoul, Korea. pp. 887 – 894 . New York : IEEE Press .
   Google Scholar
• Kim , H.-S. and Cho , S.-B. 2005 . “ Fashion design using interactive genetic algorithm with knowledge-based encoding ” . In Knowledge incorporation in evolutionary computation , Edited by: Jin , Y. Southampton and Berlin : Springer–Verlag .
   Google Scholar
• Kolodner , J. 1993 . Case-based reasoning , USA : Morgan–Kaufmann .
   Google Scholar
• Machwe , A. and Parmee , I. C. Integrating aesthetic criteria with evolutionary processes in complex, free-form design—An initial investigation . Proceedings of the IEEE Congress on Evolutionary Computation . 2006 , Vancouver, Canada. pp. 165 – 172 . New York : IEEE Press .
   Google Scholar
• Machwe , A. and Parmee , I. C. Introducing machine learning within an interactive evolutionary design environment . Proceedings of the International Design Conference—Design 2006 . pp. 283 – 290 . Croatia
   Google Scholar
• Machwe , A. , Parmee , I. C. and Miles , J. C. Integrating aesthetic criteria with a user-centric evolutionary system via a component based design representation . Proceedings of the International Conference on Engineering Design, 2005 . Melbourne, Australia. Design Society . CD-ROM
   Google Scholar
• Machwe , A. , Parmee , I. C. and Miles , J. C. Overcoming representation issues when including aesthetic criteria in evolutionary design . Proceedings of the ASCE International Conference in Civil Engineering, 2005b . Mexico. Washington DC : ASCE . CD-ROM
   Google Scholar
• Mitchell , T. M. 1997 . Machine learning , New York : McGraw–Hill .
   Google Scholar
• Moore , C. J. , Miles , J. C. and Evans , S. J.N. 1996 . Establishing a knowledge base for bridge aesthetics . Structural Engineering Review , 8 ( 2–3 ) : 247 – 258 .
   Google Scholar
• Parmee , I. C. 2002 . Improving problem definition through interactive evolutionary computation . Artificial Intelligence for Engineering Design, Analysis and Manufacturing , 16 ( 3 ) : 185 – 202 .
   Web of Science ®Google Scholar
• Parmee , I. C. User-centric evolutionary design . Proceedings: Design 2004 . Dubrovnic. Design Society . CD-ROM, Croatia
   Google Scholar
• Parmee , I. C. and Abraham , J. A.R. 2005 . “ Interactive evolutionary design ” . In Knowledge incorporation in evolutionary computation , Edited by: Jin , Y. Southampton and Berlin : Springer–Verlag .
   Google Scholar
• Rosenman , M. A. 1997 . “ The generation of form using an evolutionary approach ” . In Evolutionary algorithms in engineering applications , Edited by: Dasgupta , D. and Michalewicz , Z. 69 – 85 . Southampton and Berlin : Springer–Verlag .
   Google Scholar
• Shackelford , M. and Corne , D. Collaborative evolutionary multi-project resource scheduling . Proceedings of the 2001 Congress on Evolutionary Computation . pp. 1131 – 1138 . New York : IEEE Press .
   Google Scholar
• Sims , K. Evolving virtual creatures . Proceedings of the Computer Graphics (Siggraph '94) . July 1994 . pp. 15 – 22 . New York : ACM .
   Google Scholar
• Takagi , H. Interactive evolutionary computation: Cooperation of computational intelligence and human KANSEI . Proceedings of the 5th International Conference on Soft Computing and Information/Intelligent Systems (IIZUKA 1998) . Japan. Tokyo : CIRD . CD-ROM
   Google Scholar
• Takagi , H. 2001 . Interactive evolutionary computation: Fusion of the capacities of EC optimization and human evaluation . Proceedings of the IEEE , 89 ( 9 ) : 1275 – 1296 .
   Web of Science ®Google Scholar