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 often 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 water, geotechnical and transport engineering offering
practical case studies as examples to demonstrate real world
applications. Topics cover a range of areas within engineering,
including reviews of optimization algorithms, artificial intelligence,
cuckoo search, genetic programming, neural networks, multivariate
adaptive regression, swarm intelligence, genetic algorithms, ant colony
optimization, evolutionary multiobjective optimization with diverse
applications in engineering such as behavior of materials, geotechnical
design, flood control, water distribution and signal networks. This book
can serve as a supplementary text for design courses and computation in
engineering as well as a reference for researchers and engineers in
metaheursitics, optimization in civil engineering and computational
intelligence. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation + Develops new hybrid and advanced methods suitable for civil engineering problems at all levels + Appropriate for researchers and advanced students to help to develop their work.