**APPLIED SOFT COMPUTING IN STRUCTURAL ANALYSIS AND DESIGN** ORGANISED BY D.C. CHARMPIS AND N.D. LAGAROS |

1 |
Design of Experiments suitable for Sampling-Based Sensitivity Analysis
A. Kucerová and E. Janouchová |

2 |
Probabilistic Structural Analysis using Random Samples with Correlations induced by Simulated Annealing
D.C. Charmpis |

3 |
Robust Topology Optimization using Multi Objective Evolutionary Algorithms
N.P. Garcia-Lopez, M. Sanchez-Silva, A.L. Medaglia and A. Chateauneuf |

4 |
Optimum Seismic Design of Gravity Retaining Walls using the Heuristic Big Bang-Big Crunch Algorithm
A. Kaveh, S. Talatahari and R. Sheikholeslami |

5 |
Optimum Design of Reinforced Concrete Frames using a Heuristic Particle Swarm-Ant Colony Optimization
A. Kaveh and O. Sabzi |

6 |
Evolutionary Polynomial Regression as an Alternative Way to Predict the Torsional Strength of Reinforced Concrete Beams
A. Fiore, L. Berardi, J. Avakian and G.C. Marano |

7 |
The Impact of Soft Computing on Building Norms and Certification in Engineering
M. Phiri |

**METAHEURISTIC OPTIMIZATION OF SKELETAL STRUCTURES** ORGANISED BY O. HASANÇEBI AND L. LAMBERTI |

8 |
Influence of Buckling Constraints on Reliability Based Multiobjective Design of Truss Structures
D. Greiner and P. Hajela |

9 |
Application of Evolution Strategy for Minimization of the Number of Modules in a Truss Branch Created with the Truss-Z System
M. Zawidzki and K. Tateyama |

10 |
Truss Structural Optimization using Hybrid Evolutionary Algorithms
J.G. de Moura, G.F. Moita and S.R. de Souza |

11 |
A Fast Big Bang-Big Crunch Optimization Algorithm for Weight Minimization of Truss Structures
L. Lamberti and C. Pappalettere |

12 |
A Reformulation of the Ant Colony Optimization Algorithm for Large Scale Structural Optimization
O. Hasançebi, S. Çarbas and M.P. Saka |

**SOFT COMPUTING METHODS FOR ANALYSIS, OPTIMIZATION AND BAYESIAN UPDATING OF SYSTEMS UNDER UNCERTAINTY** ORGANISED BY A.A. TAFLANIDIS AND C. PAPADIMITRIOU |

13 |
Application of Soft Computing Techniques to Dam Safety Monitoring
V. Rankovic, N. Grujovic, D. Divac, N. Milivojevic and G. Milanovic |

14 |
Application of Response Surface Methodologies for Hurricane Risk Assessment
A.A. Taflanidis |

15 |
Relative Entropy Estimation through Stochastic Sampling and Stochastic Simulation Techniques
G. Jia and A.A. Taflanidis |

16 |
A Rough Set-Based Revised Counter-Propagation Network Model for Structural Damage Identification
S.F. Jiang, C. Fu and J. Lin |

17 |
Robust Optimization of Structural Risk: Coping with Epistemic Uncertainties
A.T. Beck, W.J.S. Gomes and F.A.V. Bazán |

**HEURISTIC AND HYBRID METAHEURISTIC METHODS FOR STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING** ORGANISED BY A. CSÉBFALVI |

18 |
Optimal Design of Large-Span Shallow Dome Structures using the ANGEL Metaheuristic Method
A. Csébfalvi and L. Mészáros |

19 |
A Hybrid Metaheuristic for the Resource-Constrained Project Scheduling Problem with Fuzzy Activity Durations
S. Danka |

20 |
An Improved Hybrid Algorithm for the Resource-Constrained Project Scheduling Problem with Hammock Activities
O. Eliezer and R. Levi |

21 |
A Net Present Value Oriented Hybrid Method to Optimize the Revenue of Geothermal Systems with Respect to Operation and Expansion
A. Csébfalvi and J. Pálné Schreiner |

**NEURAL COMPUTING** |

22 |
Neural Stochastic Process Model Applied to Inflows Series
L.C.D. Campos, M.M.B.R. Vellasco and J.G.L. Lazo |

23 |
Settlement Prediction for Deep Foundation Piles using Artificial Neural Networks
A. Abadkon and M.E. Akiner |

24 |
A Two-Stage Neural Network Architecture for Forecasting River Flows
M. Cisty |

25 |
Bayesian Neural Networks Assessment of Stud Shear Connectors
E.S. Goulart, P.C.G.S. Vellasco, R.R. de Araujo and M.M.B.R. Vellasco |

26 |
Prediction of Tunnelling Induced Settlements using Simulation-Based Artificial Neural Networks
J. Ninic, J. Stascheit and G. Meschke |

27 |
Evaluation of Seismic Demand in Eccentric Setback Buildings: A Machine Learning Approach
A. Emadi, A. Jahanmohammadi, H. Shakib and H. Moharrami |

28 |
Recurrent Neural Networks for Fuzzy Data as a Material Description within the Finite Element Method
S. Freitag, W. Graf and M. Kaliske |

29 |
Deterioration Models for Australian Low Volume Traffic Roads using Neural Network Analysis
K.J. McManus |

30 |
Application of Artificial Neural Networks for Regional Flood Estimation in Australia: Formation of Regions Based on Catchment Attributes
K. Aziz, A. Rahman, G. Fang and S. Shrestha |

31 |
Analysis of Retractable Roof Structures
S. Kmet and J. Cholvadt |

**SUPPORT VECTOR MACHINES** |

32 |
Structural Damage Identification based on Nonlinear Feature Extraction of a Support Vector Machine
S.F. Jiang, Z.Q. Wu and N. Yang |

**FUZZY INFERENCE SYSTEMS AND TOOLS** |

33 |
Application of a Fuzzy Inference System to Patent Strategy Analysis of Fall Protection Technology
W-D. Yu, S-T. Cheng, Y-H. Lai, C-C. Lin, C-M. Wu and S-S. Lou |

**INVERSE METHODOLOGIES** |

34 |
Modelling the Structural Deformations of Tracheal Cartilage during Deep Dives
C. Murphy, D. Kelliher and J. Davenport |

**CELLULAR AUTOMATA** |

35 |
Stability Analysis of Multiple Vehicle Following Models
Y. Wakita, H. Shimizu, T. Tamaki and E. Kita |

**PARTICLE SWARM OPTIMIZATION** |

36 |
Reliability Based Optimal Design of Truss Structures using Binary Particle Swarm Optimization with Time-Varying Parameters
C.K. Dimou and A.E. Charalampakis |

37 |
Minimizing Thermal Residual Stresses in Ceramic Matrix Composites by using Particle Swarm Optimization Algorithm
Y.J. Xu, W.H. Zhang, D. Chamoret and M. Domaszewski |

**GENETIC ALGORITHMS** |

38 |
Introducing Full Memory in Genetic Algorithms
A.E. Charalampakis |

39 |
Optimal Polynomial Regression Models by using a Genetic Algorithm
M. Hofwing, N. Strömberg and M. Tapankov |

40 |
Optimal Removal of Heavy Metals Pollutants from Groundwater using a Real Genetic Algorithm
A.R. Awad, I. Von Poser and M.T. Aboul-Ela |

**GENETIC ALGORITHMS: HYBRIDISATION** |

41 |
Production Optimization of Petroleum Reservoirs using Hybrid Strategies
L.C. Oliveira, S.M.B. Afonso and B. Horowitz |

42 |
Hybrid Algorithms Based on Particle Swarm Optimization and the Powell Method for Global Optimization
A.T. Beck and W.J.S. Gomes |

**GENETIC PROGRAMMING** |

43 |
Control of Physical Consistency in Metamodel Building by Genetic Programming
U. Armani, Z. Khatir, A. Khan, V.V. Toropov, A. Polynkin, H. Thompson, N. Kapur and C.J. Noakes |

**GENETIC OPERATION TREE** |

44 |
Integration of Technology Evolution Trends and Genetic Operation Trees for the Generation of Innovative Alternatives
C-M. Wu, W-D. Yu, S-T. Cheng and H-R. Lou |

**ANT COLONY OPTIMIZATION** |

45 |
Two Pheromone Ant Colony Multiobjective Optimization to Design Dispersed Laminates for Structural Applications
T.A. Sebaey, C.S. Lopes, N. Blanco and J. Costa |

**GRANULAR COMPUTING** |

46 |
Resource Allocation in Infrastructure Networks through Clustering-Based Optimization
C. Gómez, M. Sánchez-Silva and L. Dueñas-Osorio |

**DIFFERENTIAL EVOLUTION** |

47 |
Pipe Network Design by Differential Evolution and Particle Swarm Optimization
M. Cisty, Z. Bajtek and J. Bezak |

48 |
A Comparison of Differential Evolution, Particle Swarm Optimization and Genetic Algorithms for the Identification of Bouc-Wen Hysteretic Systems
A.E. Charalampakis and C.K. Dimou |

49 |
Normalized Dominance Selection Criteria for Differential Evolution Algorithms in Constrained Optimization Problems
J. Avakian, D. Serio, A. Giannico and G.C. Marano |

**KRIGING APPROXIMATION** |

50 |
Fast Multilevel Optimization using a Multiparametric Strategy and a Cokriging Metamodel
L. Laurent, P.A. Boucard and B. Soulier |

**ENTROPY MAXIMIZATION** |

51 |
An Entropy-Based Primer for Traffic Management and Bus Routing Optimization
S.E. Christodoulou |

**DATA MINING** |

52 |
Data Mining Techniques for the Assessment of Factors Contributing to the Damage of Residential Houses in Australia
N.Y. Osman-Schlegel, Z.A. Krezel and K.J. McManus |

53 |
Application of Data Mining in a Global Optimization Algorithm
T.Y. Chen and J.H. Huang |