Metaheuristic Applications in Structures and Infrastructures

Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems.

This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence.

1. Mataheuristics in Modelling and Optimization
2. Traditional and Modern Structural Optimization Techniques – Theory and Application
3. Metaheuristics and Applications in Structural and Construction Engineering
4. Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-art Review and Case Study
5. Metaheuristics in Structural Design Optimization
6. Multidisciplinary Design and Optimization Algorithms
7. Cost Optimization of Column Layout Design of Reinforced Concrete Buildings
8. Layout Design of Beam-Slab Floors by the Genetic Algorithm
9. Mathematical and Metaheuristic Applications in Design Optimization of Steel Frames
10. Optimum Design of Skeletal Structures via Big Bang–Big Crunch Algorithm
11. Hybrid Formulations of Harmony Search and Big Bang–Big Crunch for Weight Minimization of Truss Structures
12. Shape Design Optimization using Evolutionary Optimization Algorithms
13. Graph-based Coding for Truss Topology Optimization
14. Element Exchange Method for Topology Optimization
15. Structural Control using Stochastic Methodologies
16. Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions
17. Application of the Genetic Algorithm in the Ground Motion Selection for the Structural Analysis
18. Optmizaiton of Tuned Mass Damper with Harmony Search
19. Identification of Passive Devices for Vibration Control by Evolutionary Algorithms
20. Structural Optimization for Frequency Constraints
21. Optimum Performance-Based Seismic Design of Frames using Meta-Heuristic Optimization Algorithms
22. Expression Programming Techniques for Formulation of Structural Engineering Systems
23. An Evolutionary Divide-and-Conquer Strategy for Structural Identification
24. Evolutionary Algorithms for Large-Scale Optimization in Construction Management
25. Network-Level Infrastructure Management based on Meta-Heuristics
26. Meta-heuristic Algorithms for Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems
27. Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic Aspects of Deterioration