Optimization algorithms are critical tools for engineers, but difficult to use since none of them are universal in application. This introductery text builds up the knowledge set, from the basics, so that engineering students can understand the processes that govern optimization processes. Reinforcing theory with practice, the book includes discussions on how to match applications to appropiate methods and why certain approaches are not adapted to specific requirements.Following the success and adoption of the French version of this book with undergraduate and graduate students, the author has translated and substantially updated and reworked this new English edition. Featuring more worked problems and supported by a companion website, readers can learn the practical elements of building algorithms to solve real-life problems.

Optimization algorithms are critical tools for engineers, but difficult to use since none of them are universal in application. This introductery text builds up the knowledge set, from the basics, so that engineering students can understand the processes that govern optimization processes. Reinforcing theory with practice, the book includes discussions on how to match applications to appropiate methods and why certain approaches are not adapted to specific requirements.Following the success and adoption of the French version of this book with undergraduate and graduate students, the author has translated and substantially updated and reworked this new English edition. Featuring more worked problems and supported by a companion website, readers can learn the practical elements of building algorithms to solve real-life problems.