Parallel Genetic Algorithms for Optimizing Resource Utilization in Large-Scale Construction Projects-Reference-Cited by-同舟云学术

Parallel Genetic Algorithms for Optimizing Resource Utilization in Large-Scale Construction Projects

Published:2006-05 Issue:5 Volume:132 Page:491-498
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Kandil Amr¹²,El-Rayes Khaled¹²

Affiliation:

1. Assistant Professor, Dept. of Civil, Construction and Environmental Engineering, Iowa State Univ., Ames, Iowa 50011.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801.

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%282006%29132%3A5%28491%29

Reference29 articles.

1. High-Performance Computing for Large-Scale Analysis, Optimization, and Control

2. Cantú-Paz E. (1997). “A survey of parallel genetic algorithms.” ILLGAL Report No. 97003 Illinois Genetic Algorithms Laboratory Univ. of Illinois at Urbana Champaign Urbana Ill.

3. Efficient and Accurate Parallel Genetic Algorithms

4. A distributed implementation of an adaptive finite element method for fluid problems

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