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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 97
Edited by: Y. Tsompanakis, B.H.V. Topping
Paper 44

Integration of Technology Evolution Trends and Genetic Operation Trees for the Generation of Innovative Alternatives

C-M. Wu1, W-D. Yu2, S-T. Cheng2 and H-R. Lou2

1Department of Technological Management, 2Institute of Construction Management,
Chung Hua University, Hsinchu, Taiwan

Full Bibliographic Reference for this paper
C-M. Wu, W-D. Yu, S-T. Cheng, H-R. Lou, "Integration of Technology Evolution Trends and Genetic Operation Trees for the Generation of Innovative Alternatives", in Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Second International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 44, 2011. doi:10.4203/ccp.97.44
Keywords: trends of evolution, genetic operation tree, technology innovation.

Civil and construction engineering have been considered as slowly and lowly innovated areas for the advancement of technology development compared with the information and communication technology (ICT) fields. Restriction of regulations and lack of efficient tools are two major reasons for this situation. Computer aided innovation (CAI) is a promising approach to improve the innovation of construction technologies. However, effective generation of innovative alternatives was considered the major bottle neck in implementing CAI for construction technologies. This paper proposes a novel approach that integrates both trends in technology evolution (TTE) and a genetic operation tree (GOT) to provide an automated method for generation of innovative alternatives.

The proposed method adopts a subject-action-object (SAO) function model as building blocks for technology modelling. The SAO model is then transformed into a GOT for evolution. The TTE is built in the evolution algorithms of the GOT. The innovative alternatives are automatically generated with the GOT. Finally, the innovative alternatives generated are validated by domain experts. Three test examples are given to verify the proposed method. It is found that the proposed method is efficient in the generation of effective innovative alternatives for construction technologies.

The proposed method described in this paper provides a first-of-its-kind automated tool for alternative generation of CAI. While integrated with TET and GOT techniques, a self-evolution model for technology innovation is proposed and developed. With such a model, not only are more alternatives generated but also more innovative ideas can be created. It is concluded that the result of the research has created a brand new area for technology advancement of civil and construction engineering.

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