Intelligent computational paradigms in earthquake engineering, edited by Nikos D. Lagaros and Yiannis Tsompanakis, IGI Publishing, New York, 444 pages. ISBN: 1‐59904‐099‐9

This book contains 16 chapters, written by 35 authors, on various applications of artificial intelligence methods in earthquake engineering. The titles of the chapters are listed below. Improved Seismic Design Procedures and Evolutionary Tools Applying Neural Networks for Performance-based Design in Earthquake Engineering Evolutionary Seismic Design for Optimal Performance Optimal Reliability-based Design Using Support Vector Machines and Artificial Life Algorithms Optimum Design of Structures of Earthquake-induced Loading by Wavelet Neural Network Developments in Structural Optimization and Applications to Intelligent Structural Vibration Control Neuro-fuzzy Assessment of Building Damage and Safety After an Earthquake Learning Machines for Structural Damage Detection Structural Assessment of RC Constructions and Fuzzy Expert Systems Life-cycle Cost Evaluation of Bridge Structures Considering Seismic Risk Soft Computing Techniques in Probabilistic Seismic Analysis Inverse Analysis of Weak and Strong Motion Downhole Array Data: A Hybrid Optimization Algorithm Genetic Algorithms in Structural Identification and Damage Detection Neural Network-based Identification of Structural Parameters in Multistory Buildings Application of Neurocomputing to Parametric Identification Using Dynamic Responses Neural Networks for the Simulation and Identification Analysis of Buildings Subjected to Paraseismic Excitations