Preliminaries |

**HYBRID OPTIMIZATION ALGORITHMS** ORGANISED BY A. CSÉBFALVI |

1 |
A Hybrid Method for the Resource-Constrained Project Scheduling Problem with Hammock Activities
O. Eliezer and G. Csébfalvi |

2 |
A Hybrid Method for the Resource-Constrained Project Scheduling Problem with Discounted Cash Flows
B. Láng |

3 |
A Hybrid Method for the Multi-Mode Resource-Constrained Project Scheduling Problem
E. Szendroi |

4 |
A Hybrid Metaheuristic for a Bi-Objective Resource-Constrained Project Scheduling Problem
R. Levi |

5 |
A Hybrid Method for Mixed Shaping-Sizing Optimisation Problem
A. Csébfalvi |

6 |
Structural Health Monitoring by an Auto-Configured Micro-Particle Swarm Optimization Algorithm
O. Begambre |

**SOFT COMPUTING METHODOLOGIES APPLIED TO WATER-RELATED TECHNOLOGIES** ORGANISED BY I.K. NIKOLOS AND M.P. PAPADOPOULOU |

7 |
Functional Evaluation of Pedotransfer Functions in Irrigation Scheduling
H. Georgoussis, A. Moussouliotis and Ch. Babajimopoulos |

8 |
Soft-Computing Methodologies for the Solution of Contamination Problems
M.P. Papadopoulou, I.K. Nikolos and G.P. Karatzas |

9 |
A Hybrid Optimization Scheme for solving the Hydraulic Capture Problem with an Unknown Number of Wells
G.A. Gray, K. Fowler and J.D. Griffin |

10 |
Assessing Organics Removal in Water Treatment with Data Mining and Artificial Neural Networks
M. Bieroza, A. Baker and J. Bridgeman |

11 |
Predicting the Change in Hydraulic Head of a Karstic Aquifer using Neural Networks
I. Trichakis, I.K. Nikolos and G.P. Karatzas |

**GENETIC ALGORITHMS** |

12 |
Project Scheduling with Multiple Modes: A Genetic Algorithm based Approach
J. Magalhães Mendes |

13 |
An Adaptive Real-Coded Genetic Algorithm for Size and Shape Optimization of Truss Structures
K. Koohestani and S. Kazemzadeh Azad |

14 |
Calibrating Conceptual Rainfall-Runoff Models using a Real Genetic Algorithm
A.R. Awad and I. Von Poser |

15 |
Automatic Design of Water Distribution Systems: A Comparison of Different Optimization Techniques based on Genetic Algorithms
A. Doglioni, O. Giustolisi and G. Marano |

16 |
Genetic Algorithms as a Means of Adjusting Pedestrian Dynamics Models
M. Hoecker and P. Milbradt |

17 |
The Impact of Float Loss on the Project Cost
W. Lo, Y.T. Chen and W.S. Lin |

18 |
Robust Design Optimization of Hybrid Composite Structures based on Evolutionary Speciation in Genetic Search
C.A. Conceição António |

**EVOLUTIONARY ALGORITHMS** |

19 |
Improving Multiobjective Optimum Design of Metallic Bar Structural Frames using the Evolutionary Algorithm DENSEA
D. Greiner, J.M. Emperador, G. Winter and B. Galván |

20 |
A Practical Methodology for Comparison of Evolutionary Optimization Algorithms
J. Nosek and M. Lepš |

21 |
Comparison of Single and Multi-Objective Curve Fitting
Z. Vitingerová and M. Lepš |

22 |
Engineering Application of Advanced Grammatical Evolution
H. Iwasawa, T. Kuroda and E. Kita |

23 |
Engineering Optimization using Opposition Based Differential Evolution
M. Shakiba and B. Ahmadi-Nedushan |

**ANT COLONY OPTIMIZATION** |

24 |
Design of High Speed Railway Bridge Piers by Ant Colony Optimization
F.J. Martínez, F. González-Vidosa and A. Hospitaler |

25 |
Topological Design of Geometrically Nonlinear Latticed Domes using Particle Swarm Ant Colony Optimization
A. Kaveh and S. Talatahari |

**PARTICLE SWARM TECHNIQUES** |

26 |
Optimal Design of Reinforced Concrete Retaining Walls using a Swarm Intelligence Technique
B. Ahmadi-Nedushan and H. Varaee |

27 |
A Particle Swarm Optimisation Approach to Reinforced Concrete Beam Design according to AS3600
T.J. McCarthy and S. McCluskey |

**NEURAL NETWORKS** |

28 |
Prediction of Structural Behaviour with Recurrent Neural Networks for Fuzzy Data
S. Freitag, W. Graf, M. Kaliske and J.-U. Sickert |

29 |
The use of Artificial Neural Networks for the Estimation of the Effect of the Geology on Air Losses during Compressed Air Tunnelling
R. Boubou, F. Emeriault and R. Kastner |

30 |
Metamodeling based Structural Optimisation for Earthquake Loading
E. Salajegheh and S. Gholizadeh |

31 |
Simplified Technique for the Design of Steel Concrete Composite Beams using Artificial Neural Networks
S. Chaudhary and A.K. Nagpal |

32 |
Predictions of Hysteresis Energy Dissipation in Steel Reinforcing Bars using Artificial Neural Networks
J.A. Abdalla and R.A. Hawileh |

33 |
Hybrid Mechanical-Neural Modelling Framework of Beam-to-Column Connections
J.H. Kim, J. Ghaboussi and A.S. Elnashai |

**CELLULAR AUTOMATA** |

34 |
Modelling of Pedestrian Movement around 90° and 180° Bends
B. Steffen and A. Seyfried |

35 |
Cellular Automata Simulation of Traffic Jams at the Merging Point of Roads
Y. Wakita, T. Iguchi, H. Shimizu, T. Tamaki and E. Kita |

**FUZZY METHODS** |

36 |
A Possibility-based Approach for the Assessment of the Performance of Civil Engineering Works
A. Talon, C. Curt and D. Boissier |

37 |
Holistic Evaluation of the Seismic Urban Risk using Fuzzy Set Theory
M.L. Carreño, O.D. Cardona and A.H. Barbat |

38 |
Assessment of the Duration of the Use of Sanitary Appliances for Sizing of Water Submetering Systems in Multi-Family Buildings by means of Fuzzy Logic
L.H. Oliveira, L.Y. Cheng, P.M.C. Massolino and C.Q. Brisighelli |

39 |
A Fuzzy Approach to the Analysis of Natural Ventilation considering the results of Computational Fluid Dynamics
L.Y. Cheng and F.K. Motezuki |

40 |
Analysis of Morphodynamics in Coastal Zones using Spatial-Temporal Fuzzy Interpolations
W. Abu Abed and P. Milbradt |

41 |
Application of Takagi-Sugeno Fuzzy Logic Systems for Diagnostics of Machine Tools
T. Czyszpak and A. Sokolowski |

42 |
A Fuzzy Approach for the Characterization of Local Climate in Architectural Design
L.Y. Cheng, A.L.N.C. Harris, P.M.C. Massolino and C.Q. Brisighelli |

**FUZZY CLUSTERING** |

43 |
Estimating the Parameters of the Extreme Value Type 1 Distribution for Low Flow Series in Ireland
A. Nasr and M. Bruen |

**OPTIMIZATION UNDER UNCERTAINTY** |

44 |
A Decoupled Approach for Time-Variant Reliability-Based Design Optimization of Degraded Structures
Y. Aoues and A. Chateauneuf |

45 |
New Soft Computing Strategies for Design Optimization of Structures with Uncertainties
A.Th. Garavelas, N.D. Lagaros and M. Papadrakakis |

**DATA MINING** |

46 |
Data Mining Techniques and Ultrasonic Pulse Velocity Tests for the Assessment of Damage Levels in Concrete exposed to High Temperatures and subject to Compression
R. Marques, L. Lourenço and J. Barros |

**MACHINE LEARNING** |

47 |
Machine Learning Methods in Strength Estimation of Engineering Materials
M. Shakiba and B. Ahmadi-Nedushan |

**RISK ANALYSIS** |

48 |
Risk Analysis and Computational Simulation of Accidents
P. Jelinkova, A. Bernatik and O. Sucharda |

**DECISION PROCESSES** |

49 |
Optimal Planning of Inspection and Maintenance by Including Epistemic Uncertainties
R. Faddoul, W. Raphael, A. Chateauneuf and A. Soubra |

**METHODS FOR GENERATING RESPONSE SURFACES** |

50 |
Space-Filling Sequential Design Strategies for Adaptive Surrogate Modelling
K. Crombecq, I. Couckuyt, D. Gorissen and T. Dhaene |

51 |
Stochastic Subset Optimization with Response Surface Approximations for Stochastic Design
A.A. Taflanidis |

52 |
Automated Response Surface Model Generation with Sequential Design
I. Couckuyt, K. Crombecq, D. Gorissen and T. Dhaene |

53 |
Hierarchical Subset Latin Hypercube Sampling for Correlated Random Vectors
M. Vorechovský |

End matter / Index |