Genetic Algorithms for Construction Site Layout in Project Planning-Reference-Cited by-同舟云学术

Genetic Algorithms for Construction Site Layout in Project Planning

Published:2002-10 Issue:5 Volume:128 Page:418-426
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Mawdesley Michael J.¹,Al-jibouri Saad H.²,Yang Hongbo³

Affiliation:

1. Senior Lecturer, Univ. of Nottingham, School of Civil Engineering, University Park, Nottingham NG7 2RD, U.K.

2. Assistant Professor, Dept. of Construction Process Management, Univ. of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.

3. Postdoctoral Student, Univ. of Nottingham, School of Civil Engineering, University Park, Nottingham NG7 2RD, U.K.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9364%282002%29128%3A5%28418%29

Reference19 articles.

1. Al-Tabtabai H. and Alex A. P. (1997). “Manpower scheduling optimization using genetic algorithms.” Proc. 4th Congress on Computing in Civil Engineering ASCE Reston Va. 702–709.

2. Genetic Algorithms-a Tool for OR?

3. Goldberg D. E. (1989). Genetic algorithms in search optimization and machine learning Addison-Wesley Reading Mass.

4. Hamiani A. (1989). “Knowledge representation for the site layout problem.” Proc. Computing in Civil Engineering ASCE Reston Va. 283–289.

5. Search Heuristics for Resource Constrained Project Scheduling

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