Multiobjective Dynamic-Guiding PSO for Optimizing Work Shift Schedules-Reference-Cited by-同舟云学术

Multiobjective Dynamic-Guiding PSO for Optimizing Work Shift Schedules

Published:2018-09 Issue:9 Volume:144 Page:04018089
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Cheng Min-Yuan¹,Huang Kuo-Yu²,Hutomo Merciawati³

Affiliation:

1. Professor, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, Taipei 10607, Taiwan, R.O.C.

2. Doctoral Program Student, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, Taipei 10607, Taiwan, R.O.C. (corresponding author).

3. Master Student, Dept. of Civil and Construction Engineering, National Taiwan Univ. of Science and Technology, Taipei 10607, Taiwan, R.O.C.

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.1943-7862.0001548

Reference33 articles.

1. Dynamics of Working Hours in Construction

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

3. Resource-constrained project scheduling by simulated annealing

4. A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version

5. Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints

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