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This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
This book is the documented result of an expert workshop, Modeling and Management of Emerging Environmental Issues, held at Penn State University. This event assembled four panels of modeling experts from the U.S. and Canada to discuss modeling technology development and application in order to promote sound and cost-effective environmental decision-making. This thorough analysis provides an overview on the state-of-the-art in current practice and identifies emerging research and development trends within modeling technology. Each of the discussions considers not only technical issues, but regulatory and cost factors as well.