Minimizing Cutting Wastes of Reinforcement Steel Bars Using Genetic Algorithms and Integer Programming Models

Author:

Salem O.123,Shahin A.123,Khalifa Y.123

Affiliation:

1. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Cincinnati, P.O. Box 210071, Cincinnati, OH 45221 (corresponding author).

2. Graduate Student, Civil and Environmental Engineering Dept., Univ. of Alberta, 220 Civil/Elect. Engineering Bldg., Edmonton AB, Canada T6G 2G7.

3. Assistant Professor, Dept. of Electrical and Computer Engineering, State Univ. of New York, Room 202, Resnick Engineering Hall, 75 South Manheim Blvd., New Paltz, NY 12561.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Reference34 articles.

1. Al-Tabtabai H. and Alex A. P. (1997). “Manpower scheduling optimization using genetic algorithms.” Proc. Computing in Civil Engineering ASCE Reston Va. 702–709.

2. Construction and demolition debris—The invisible waste stream;Apotheker S.;Resour. Recycl.,1990

3. Brooks K. A. Adams C. and Demsetz L. A. (1994). “Germany’s construction and demolition debris recycling infrastructure: What lessons does it have for the U.S.?” Proc. Sustainable Construction Conf. Tampa Fla.

4. Road‐Maintenance Planning Using Genetic Algorithms. I: Formulation

5. Chung Y. C. and Haupt R. L. (1999). “Optimizing genetic algorithm parameters for adaptive nulling.” Proc. 15th Annual Review of Progress in Applied Computational Electromagnetics at the Naval Postgraduate School Monterey Calif.

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