Computational Technology Resources - CCP

Keywords: trends of evolution, genetic operation tree, technology innovation.

Summary

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.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £70 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 97 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING 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 doi:10.4203/ccp.97.44 purchase the full-text of this paper 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. Summary 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £70 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions