Artificial Intelligent for Decision Making in Construction Management

 

Category

Model Name

Algorithms

Applied Topics

Duration

Description

Software

Neural Network

Evolutionary Fuzzy Neural Inference Model (EFNIM)

GA + FL + NN

1.        Subcontractor Performance

2.        Project Success

3.        Decision-making in Geotechnical Engineering

4.        Cash Flow

5.        Excavation deflection

6.        Estimates at Completion

7.        Conceptual Cost Estimate

2000~2008

A pioneer research integrated GA, FL, and NN. 

描述: 描述: 描述: image003

Requirement:  VB6.0

Evolutionary Fuzzy Hybrid Neural Network (EFHNN)

GA + FL + NN + HONN

1.        Conceptual Cost Estimate

2.        Cash Flow

3.        Subcontractor Performance

4.        Project Success

2008~

To evolve previous EFNIM with advantages of HONN.

描述: 描述: 描述: image003

Requirement:  VB6.0

Support Vector Machine

Evolutionary Support Vector Inference Model (ESIM)

fmGA + SVM

1.        Conceptual Cost Estimate

2.        Subcontractor Performance

3.        Excavation deflection

4.        Project Success

2006~2008

A pioneer research optimized SVM’s parameters.

描述: 描述: 描述: image003

Evolutionary Risk Preference Support Vector Machine Inference Model(ERP-SIM)

fmGA + Risk Preference + SVM

1.        Slope Landslides

2009~

To improve ESIM with risk preference of decision maker

描述: 描述: 描述: image003

Evolutionary Fuzzy Support Vector Inference Model (EFSIM)

fmGA + FL +SVM

1.        Estimates at Completion

2.        Conceptual Cost Estimate

2008~

To improve ESIM with concept of FL for handling uncertainties.

描述: 描述: 描述: image003

Evolutionary Support Vector Time Series Inference Model (EFSIMT)

fmGA + FL +SVM + Fuzzy Time Series Weighting Function

1.        Project Success

2.        Cash Flow

 

2009~

To improve ESIM with fuzzy weighting functions for time series prediction.

描述: 描述: 描述: image003

Optimal Algorithm

Particle Bee Algorithm(PBA)

PSO+BA

1.        Locations of tower crane

2.        Construction site layout

2009~

To fuse PSO and BA for globe and local search.

描述: 描述: 描述: image003

K-means Chaotic Genetic Algorithms(KCGA)

GA+ K-means + Chaotic

1.        Route Planning Algorithm

2009~

A pioneer research integrated GA,K-means, and Chaotic.

描述: 描述: 描述: image003

Note: GA: Genetic Algorithm; FL: Fuzzy Logic;

NN: Neural Network; HONN: High Order Neural Network;

fmGA: fast messy genetic algorithm; SVM: support Vector Machine