Preface
Introduction
Computational models of structures
Finite element models of structures
Boundary element models of structures
FE&BE models of structures
Intelligent computing techniques
Introduction to computational intelligence
Sequential evolutionary algorithms
Parallel and distributed evolutionary algorithms
Fuzzy systems and granular computing
Fuzzy and stochastic evolutionary algorithms
Immune systems and algorithms
Artificial neural networks
Hybrid computational intelligence algorithms
Selected problems of knowledge engineering
Structural intelligent optimization
Formulation of single- and multi-objective optimization problems
Shape, topology, material and size optimization and their parametrization
Optimization of elastic structures under statical loads
Optimization of elastic structures under dynamical loads
Optimization of thermoelastic structures
Optimization of cracked structures
Optimization of nonlinear structures
Optimization of composites
Structural optimization in the uncertain conditions
Expert systems in optimization
Intelligent computing in inverse problems
Formulation of inverse problems
Identification of boundary conditions
Identification of defects
Identification of material properties
Other computing problems: intelligent adaptive mesh, grid computation
Concluding remarks
Appendices
References
