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.
Review of the latest development of metaheuristics in
engineering.Detailed algorithm descriptions with focus on practical
implementation.Uses practical case studies as examples and
applications.
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