Fuzzy Enabled Hybrid Genetic Algorithm–Particle Swarm Optimization Approach to Solve TCRO Problems in Construction Project Planning-Reference-Cited by-同舟云学术

Fuzzy Enabled Hybrid Genetic Algorithm–Particle Swarm Optimization Approach to Solve TCRO Problems in Construction Project Planning

Published:2012-09 Issue:9 Volume:138 Page:1065-1074
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Ashuri Baabak¹,Tavakolan Mehdi²

Affiliation:

1. Assistant Professor, Economics of the Sustainable Built Environment (ESBE) Lab, School of Building Construction, Georgia Institute of Technology, Atlanta, GA 30332 (corresponding author).

2. Ph.D. Candidate, Dept. of Civil Engineering and Engineering Mechanics, Columbia Univ., New York, NY 10027.

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.1943-7862.0000513

Reference34 articles.

1. Construction Project Scheduling with Time, Cost, and Material Restrictions Using Fuzzy Mathematical Models and Critical Path Method

2. Handling multiple objectives with particle swarm optimization

3. A review and evaluation of multiobjective programing techniques

4. Eberhart R. and Shi Y. (1998). “Comparison between genetic algorithms and particle swarm optimization.” Proc. 7th Int. Conf. on Evolut. Program Springer Berlin 611–617.

5. Object-Oriented Model for Repetitive Construction Scheduling

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