Metaheuristics in water, geotechnical and transport engineering

摘要: Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient low cost structures has become crucially important modern engineering design. This requires engineers search optimal robust design options address problems that are often large scale highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency versatility solving these difficult optimization problems. This book examines latest developments of metaheuristics their applications water, geotechnical transport offering practical case studies as examples demonstrate real world applications. Topics cover a range areas within engineering, including reviews algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm ant colony optimization, evolutionary multiobjective with diverse such behavior materials, design, flood control, water distribution signal networks. can serve supplementary text courses computation well reference researchers metaheursitics, civil computational intelligence. (from publisher's website)