Evolutionary Polynomial Regression Algorithm Enhanced with a Robust Formulation: Application to Shear Strength Prediction of RC Beams without Stirrups

Author:

Marasco Sebastiano1,Fiore Alessandra2,Greco Rita3,Cimellaro Gian Paolo4,Marano Giuseppe Carlo4

Affiliation:

1. Postdoctoral Research Associate, Dept. of Structural, Geotechnical, and Building Engineering, Politecnico di Torino, Torino 10129, Italy.

2. Assistant Professor, Dept. of Science of Civil Engineering and Architecture, Technical Univ. of Bari, Bari 70125, Italy (corresponding author).

3. Associate Professor, Dept. of Science of Civil Engineering and Architecture, Technical Univ. of Bari, Bari 70125, Italy.

4. Full Professor, Dept. of Structural, Geotechnical, and Building Engineering, Politecnico di Torino, Torino 10129, Italy.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Reference47 articles.

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2. Utility of Genetic Algorithms for Solving Large-Scale Construction Time-Cost Trade-Off Problems

3. Modeling of permeability and compaction characteristics of soils using evolutionary polynomial regression

4. Akaike H. 1983. “Information measures and model selection.” In Proc. Int. Statistical Institute 44th Session 277–291. Hague Netherlands: International Statistical Institute.

5. New Multiobjective Optimization Approach to Rehabilitate and Maintain Sewer Networks Based on Whole Lifecycle Behavior

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