Optimization in Industry comprises a collection of papers presented at the third US United Engineering Foundation's 'Optimization in Industry' Conference. The main focus of this conference is related to engineering optimization, including both manufacturing and parametric design. The included papers explore the relationships between well-established deterministic optimization methods and the emerging stochastic, mainly population-based search and optimization algorithms. A mix of approaches across a wide range of engineering disciplines is represented. It illustrates how various techniques can be utilized either in a stand-alone manner or within hybrid systems to achieve optimal design and computational efficiency. The papers cover scientific, application, awareness/information dissemination, and industrial requirements areas. They provide information on available search and optimization techniques and their application to specific design problems across the field of manufacturing. Papers addressing the challenges of incorporating novel optimization techniques into daily design practice and industrial software requirements are also included. This book will be of interest to both the industrial and academic communities.