Methods of obtaining, verifying, and reusing optimal biological solutions

References

• Badarnah, L., & Kadri, U. (2015). A methodology for the generation of biomimetic design concepts. Architectural Science Review, 58, 120–133.10.1080/00038628.2014.922458
   Web of Science ®Google Scholar
• Bahrami, A. (1994). Routine design with information content and fuzzy quality function deployment. Journal of Intelligent Manufacturing, 5, 203–210.10.1007/BF00123693
   Web of Science ®Google Scholar
• Biomimicry Institute. (2007). Biomimicry: A tool for innovation. Retrieved from http://www.biomimicryinstitute.org/about-us/biomimicry-a-tool-for-innovation.html
   Google Scholar
• Bruck, H. A., Gershon, A. L., Golden, I., Gupta, S. K., Gyger, Jr., L. S., Magrab, E., & Spranklin, B. (2006). New educational tools and curriculum enhancements for motivating engineering students to design and realize bio-inspired products. Design and Nature III: Comparing Design in Nature with Science and Engineering, 87, 325–335.
   Google Scholar
• Coelho, D., & Versos, C. (2012). A comparative analysis of six bionic design methods. International Journal of Design Engineering, 4, 114–131.
   Google Scholar
• Cohen, Y. H., & Reich, Y. (2016). Research model. In Biomimetic design method for innovation and sustainability (pp. 53–60). Cham: Springer International.
   Google Scholar
• Colombo, B. (2007). Biomimetic design for new technological developments (Cumulus working papers, pp. 29–36). Helsinki: University of Art and Design.
   Google Scholar
• Fu, K., Murphy, J., Yang, M., Otto, K., Jensen, D., & Wood, K. (2015). Design-by-analogy: Experimental evaluation of a functional analogy search methodology for concept generation improvement. Research in Engineering Design, 26, 77–95.10.1007/s00163-014-0186-4
   Web of Science ®Google Scholar
• Fujita, K., & Yoshioka, S. (2003). Optimal design methodology of common components for a class of products: Its foundations and promise. Chicago, IL: Proceedings of ASME 2003 Design Engineering Technical Conferences and Computers and Information in Engineering Conferences.
   Google Scholar
• Helms, M., Vattam, S. S., & Goel, A. (2009). Biologically inspired design: Process and products. Design Studies, 30, 606–622.10.1016/j.destud.2009.04.003
   Web of Science ®Google Scholar
• Hill, B. (2005). Goal setting through contradiction analysis in the bionics-oriented construction process. Creativity and Innovation Management, 14, 59–65.10.1111/caim.2005.14.issue-1
   Google Scholar
• Huang, J. Y., & Siao, S. T. (2016). Development of an integrated bionic design system. Journal of Engineering, Design and Technology, 14, 310–327.10.1108/JEDT-08-2014-0057
   Web of Science ®Google Scholar
• Jiao, J., & Tseng, M. M. (2004). Customizability analysis in design for mass customization. Computer-Aided Design, 36, 745–757.10.1016/j.cad.2003.09.012
   Web of Science ®Google Scholar
• Junior, W., Guanabara, A., Silva, E., & Platcheck, E. (2002). Proposta de uma Metodologia para o Desenvolvimento de Produtos baseados no Esudo da Bionica [Proposal for a methodology for the development of products based on the study of bionics]. Brasília: R & D - Research and Design.
   Google Scholar
• Kim, S. J., & Lee, J. H. (2015). Parametric shape modification and application in a morphological biomimetic design. Advanced Engineering Informatics, 29, 76–86.10.1016/j.aei.2014.09.006
   Web of Science ®Google Scholar
• Kruiper, R., Chen-Burger, J., & Desmulliez, M. P. (2016). Computer-aided biomimetics. Conference on Biomimetic and Biohybrid Systems (pp. 131–143). Cham: Springer International.
   Google Scholar
• Levine, D. M. (2006). Statistics for six sigma green belts with minitab and JMP. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Lindemann, U., & Gramann, J. (2004). Engineering design using biological principles. Dubrovnik: DS 32: Proceedings of DESIGN 2004, the 8th International Design Conference.
   Google Scholar
• Mattheck, C. (1998). Design in nature-learning from trees. Heidelberg: Springer Verlag.
   Google Scholar
• Mueller, T. J. (2001). Fixed and flapping wing aerodynamics for micro air vehicle applications. Reston, VA: AIAA.10.2514/4.866654
   Google Scholar
• Pasini, D., & Burgess, S. C. (2004). The structural efficiency of trees. In M. W. Collins, D. G. Hunt, & M. A. Atherton (Eds.), Optimisation mechanics in nature (pp. 51–78). London: WIT press.
   Google Scholar
• Ponweiser, W., Wagner, T., & Vincze, M. (2008). Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models. 2008 IEEE Congress on Evolutionary Computation, 3515–3522.10.1109/CEC.2008.4631273
   Google Scholar
• Sartori, J., Pal, U., & Chakrabarti, A. (2010). A methodology for supporting “transfer” in biomimetic design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24, 483–506.10.1017/S0890060410000351
   Web of Science ®Google Scholar
• Schild, K., Herstatt, C., & Luthje, C. (2004). How to use analogies for breakthrough innovations. Hamburg: Technical University of Hamburg, Institute of Technology and Innovation Management.
   Google Scholar
• Shu, L. H., Ueda, K., Chiu, I., & Cheong, H. (2011). Biologically inspired design. CIRP Annals-Manufacturing Technology, 60, 673–693.10.1016/j.cirp.2011.06.001
   Web of Science ®Google Scholar
• Stroble, J. K., Stone, R. B., McAdams, D. A., & Watkins, S. E. (2009). An engineering-to-biology thesaurus to promote better collaboration, creativity and discovery. Proceedings of the 19th CIRP Design Conference–Competitive Design. Cranfield: Cranfield University Press.
   Google Scholar
• Suh, N. P. (1990). The Principles of Design. New York, NY: Oxford University Press.
   Google Scholar
• Ulrich, K., & Eppinger, S. (2004). Product design and development. Boston, MA: McGraw-Hill.
   Google Scholar
• Vandevenne, D., Verhaegen, P. A., Dewulf, S., & Duflou, J. R. (2016). SEABIRD: Scalable search for systematic biologically inspired design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 30, 78–95.10.1017/S0890060415000177
   Web of Science ®Google Scholar
• Vattam, S., Wiltgen, B., Helms, M., Goel, A. K., & Yen, J. (2011). DANE: Fostering creativity in and through biologically inspired design. In T. Taura & Y. Nagai (Eds.), Design Creativity 2010 (pp. 115–122). London: Springer.
   Google Scholar
• Vincent, J. (2006). The materials revolution. Journal of Bionic Engineering, 3, 217–234.10.1016/S1672-6529(07)60005-5
   Google Scholar
• Vincent, J. F., Bogatyreva, O., Pahl, A. K., Bogatyrev, N., & Bowyer, A. (2005). Putting biology into TRIZ: A database of biological effects. Creativity and Innovation Management, 14, 66–72.10.1111/caim.2005.14.issue-1
   Google Scholar
• Vogel, S. (1998). Cats’ paws and catapults: Mechanical worlds of nature and people. New York, NY: Norton.
   Google Scholar
• Wu, J., & Shu, C. (2009). Implicit velocity correction-based immersed boundary-lattice Boltzmann method and its applications. Journal of Computational Physics, 228, 1963–1979.10.1016/j.jcp.2008.11.019
   Web of Science ®Google Scholar
• Yates, D. F., Templeman, A. B., & Boffey, T. B. (1982). The complexity of procedures for determining minimum weight trusses with discrete member sizes. International Journal of Solids and Structures, 18, 487–495.10.1016/0020-7683(82)90065-8
   Web of Science ®Google Scholar