Multiobjective Optimization of Resource Leveling and Allocation during Construction Scheduling
Author:
Affiliation:
1. Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL.
2. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL (corresponding author).
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.1943-7862.0000368
Reference21 articles.
1. Optimal resource leveling using non-serial dyanamic programming
2. Construction Resource Scheduling with Genetic Algorithms
3. Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints
4. SCHEDULING WITH CO-EVOLVING RESOURCE AVAILABILITY PROFILES
5. Deb K. Pratap A. Agrawal S. and Meyarivan T. (2001). “A fast and elitist multi-objective genetic algorithm: NSGA-II.” KANGAL Rep. 200001 Genetic Algorithm Laboratory Indian Institute of Technology Kanpur India.
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