The need for lightweight, cost-effective, and efficient structures has become critical in modern engineering design due to dwindling raw material supplies and strict regulations on traditional energy sources. This means that engineers must look for the best and most reliable design solutions to deal with design issues, which are frequently large-scale and extremely nonlinear, making solution discovery difficult. Over the last twenty years, metaheuristic algorithms have demonstrated impressive strength, effectiveness, and adaptability in resolving these challenging optimization issues. This book explores the most recent advances in metaheuristics and their uses in geotechnical, transport, and water engineering, using real-world examples in the form of useful case studies. Engineering reviews, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, ant colony optimization, evolutionary multiobjective optimization, and behavior of materials are just a few of the topics covered. Other engineering applications include signal networks, geotechnical design, flood control, water distribution, and behavior of materials. This book can be used as a reference by researchers and engineers in the fields of metaheursitics, optimization in civil engineering, and computational intelligence, as well as an additional text for design courses and engineering computation.