Efficient Hybrid Genetic Algorithm for Resource Leveling via Activity Splitting-Reference-Cited by-同舟云学术

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Efficient Hybrid Genetic Algorithm for Resource Leveling via Activity Splitting

Published:2011-02 Issue:2 Volume:137 Page:137-146
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Hossein Hashemi Doulabi Seyed¹²³,Seifi Abbas¹²³,Shariat Seyed Yasser¹²³

Affiliation:

1. Research Assistant, Dept. of Industrial Engineering, Amirkabir Univ. of Technology, Tehran, Iran (corresponding author).

2. Associate Professor, Industrial Engineering and Productivity Research Center, Amirkabir Univ. of Technology, Tehran, Iran.

3. Teaching Assistant, Dept. of Social Science, Imam Khomeini International Univ., Ghazvin, Iran.

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%29CO.1943-7862.0000261

Reference34 articles.

1. Optimal resource leveling using non-serial dyanamic programming

2. Priority rule-based heuristic for multi-mode resource-constrained project scheduling problems with resource vacations and activity splitting

3. Variation in activity level on a cyclic arrow diagram;Burgess A. R.;J. Ind. Eng.,1962

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