Multiobjective Construction Schedule Optimization Using Modified Niched Pareto Genetic Algorithm

Author:

Kim Kyungki1,Walewski John2,Cho Yong K.3

Affiliation:

1. Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. N.W., Atlanta, GA 30332-0355 (corresponding author).

2. Associate Professor, Zachry Dept. of Civil Engineering, Texas A&M Univ., 3136 TAMU, CE/TTI Building, College Station, TX 77843-3136.

3. Associate Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. N.W., Atlanta, GA 30332-0355.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Reference22 articles.

1. Multi-project scheduling: a new categorization for heuristic scheduling rules in construction scheduling problems

2. Hybrid Genetic Algorithm with Simulated Annealing for Resource-Constrained Project Scheduling

3. Deb K. and Goldberg D. E. (1989). “An investigation of niche and species formation in genetic function optimization.” Proc. 3rd Int. Conf. on Genetic Algorithms Morgan Kaufmann Publishers San Francisco 42–50.

4. Multiobjective optimization of resource leveling and allocation during construction scheduling;Dho H. J.;J. Constr. Eng. Manage.,2011

5. Resource Leveling in Construction by Optimization

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