Metaheuristic Applications in Structures and Infrastructures

Mataheuristics in Modelling and Optimization Traditional and Modern Structural Optimization Techniques - Theory and Application Metaheuristics and Applications in Structural and Construction Engineering Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-art Review and Case Study Metaheuristics in Structural Design Optimization Multidisciplinary Design and Optimization Algorithms Cost Optimization of Column Layout Design of Reinforced Concrete Buildings Layout Design of Beam-Slab Floors by the Genetic Algorithm Mathematical and Metaheuristic Applications in Design Optimization of Steel Frames Optimum Design of Skeletal Structures via Big Bang-Big Crunch Algorithm Hybrid Formulations of Harmony Search and Big Bang-Big Crunch for Weight Minimization of Truss Structures Shape Design Optimization using Evolutionary Optimization Algorithms Graph-based Coding for Truss Topology Optimization Element Exchange Method for Topology Optimization StructuralControl using Stochastic Methodologies Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions Application of the Genetic Algorithm in the Ground Motion Selection for the Structural Analysis Optmizaiton of Tuned Mass Damper with Harmony Search Identification of Passive Devices for Vibration Control by Evolutionary Algorithms Structural Optimization for Frequency Constraints Optimum Performance-Based Seismic Design of Frames using Meta-Heuristic Optimization Algorithms Expression Programming Techniques for Formulation of Structural Engineering Systems An Evolutionary Divide-and-Conquer Strategy for Structural Identification Evolutionary Algorithms for Large-Scale Optimization in Construction Management Network-Level Infrastructure Management based on Meta-Heuristics Meta-heuristic Algorithms for Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic

Xin She Yang is Senior Research Scientist in the Department of Mathematical and Scientific Computing at the National Physical Laboratory in the United Kingdom, Reader in Modeling and Optimization at Middlesex University, UK, and Adjunct Professor at Reykjavik University, Iceland. He is Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimization, a member of both the Society for Industrial and Applied Mathematics and the British Computer Society, a Fellow of The Royal Institution of Great Britain, and editor of seven additional books including Nature-Inspired Optimization Algorithms (Elsevier), Swarm Intelligence and Bio-Inspired Computation (Elsevier).