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Metaheuristic Applications in Structures and Infrastructures

METAHEURISTIC APPS IN STRUCTURES AND INFRASTRUCTURES

Engineering

Mathematics & Science

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

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Imprint Name

B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLJR

COLSO

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
List of Contributors.
1: Metaheuristic Algorithms in Modeling and Optimization.
2: A Review on Traditional and Modern Structural Optimization: Problems and Techniques.
3: Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review.
4: Structural Design.
5: Evolution Strategies-Based Metaheuristics in Structural Design Optimization.
6: Multidisciplinary Design and Optimization Methods.
7: Cost Optimization of Column Layout Design of Reinforced Concrete Buildings.
8: Layout Design of Beam&#x2013;Slab Floors by a Genetic Algorithm.
9: Optimum Design of Skeletal Structures via Big Bang&#x2013;Big Crunch Algorithm.
10: Truss Weight Minimization Using Hybrid Harmony Search and Big Bang&#x2013;Big Crunch Algorithms.
11: Graph Theory in Evolutionary Truss Design Optimization.
12: Element Exchange Method for Stochastic Topology Optimization.
13: Structural Control and Identification.
14: Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions.
15: Application of Genetic Algorithms in Ground Motion Selection for Seismic Analysis.
16: Optimization of Tuned Mass Damper with Harmony Search.
17: Identification of Passive Devices for Vibration Control by Evolutionary Algorithms.
18: Structural Optimization for Frequency Constraints.
19: Optimum Performance-Based Seismic Design of Frames Using Metaheuristic Optimization Algorithms.
20: Expression Programming Techniques for Formulation of Structural Engineering Systems.
21: An Evolutionary Divide-and-Conquer Strategy for Structural Identification.
22: Construction Management and Maintenance.
23: Swarm Intelligence for Large-Scale Optimization in Construction Management.
24: Network-Level Infrastructure Management Based on Metaheuristics.
25: Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems.
26: Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic Aspects of Deterioration.

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Metaheuristic Applications in Structures and Infrastructures