Green Construction Alternatives Evaluation Using GA-BP Hybrid Algorithm

Author

Shi, Qian ; Xu, Yilong ; Chen, Shoufeng

Author_Institution

Sch. of Econ. & Manage., Tongji Univ., Shanghai, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

5

Abstract

According to the characteristics of green construction, this paper defines the key indexes in green construction assessment system which includes resources utilization, environmental protection and construction management. It also builds up green construction assessment model in which relationships among indexes are established. Back Propagation Neural Network (BPNN) optimized by genetic algorithm (GA) is used to assess green construction alternatives. And a case study has been conducted in order to verify the adaptability of the model.

Keywords

backpropagation; construction industry; environmental factors; genetic algorithms; neural nets; resource allocation; GA-BP hybrid algorithm; back propagation neural network; construction management; environmental protection; genetic algorithm; green construction alternative evaluation; green construction assessment system; resource utilization; Air pollution; Environmental economics; Environmental management; Environmentally friendly manufacturing techniques; Fuzzy systems; Industrial pollution; Neural networks; Protection; Resource management; Urban pollution;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5305695

Filename

5305695