MULTIOBJECTIVE OPTIMIZATION USING GENETIC ALGORITHMS IN TIME-COST CONSTRUCTION PROJECT SCHEDULING PROBLEM

@inproceedings{MagalhesMendes2016MULTIOBJECTIVEOU,
  title={MULTIOBJECTIVE OPTIMIZATION USING GENETIC ALGORITHMS IN TIME-COST CONSTRUCTION PROJECT SCHEDULING PROBLEM},
  author={Jorge Magalh{\~a}es-Mendes},
  year={2016}
}
Multiobjective formulations are realistic models for many complex engineering optimization problems [1]. In a construction project, there are two main factors, such as project duration and project cost. The activity duration is a function of resources (i.e. crew size, equipments and materials) availability. On the other hand, resources demand direct costs. Therefore, the relationship between project time and direct cost of each activity is a monotonously decreasing curve. It means if activity… CONTINUE READING
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Showing 1-10 of 36 references

Multiobjective Approach for Time-Cost Optimization using a Multi-Mode Hybrid Genetic Algorithm

J. Magalhães-Mendes
Management, Springer International Publishing, • 2015
View 8 Excerpts
Highly Influenced

Time-Cost Optimization of Construction Projects: A Genetic Algorithm-Based Approach, in Y

J. Magalhães-Mendes
Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, • 2015
View 4 Excerpts
Highly Influenced

Time-Cost Optimization of Large-Scale Construction Projects Using Constraint Programming

B. Golzarpoor
Master Thesis, • 2012
View 6 Excerpts
Highly Influenced

Project Engineering

Springer Berlin Heidelberg • 1990
View 7 Excerpts
Highly Influenced