As manufacturing technology and its applications become more complex and beyond the scope of conventional approaches, there has been considerable interest in developing computational methods for optimizing manufacturing. Computational Methods for Optimizing Manufacturing Technology: Models and Techniques contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application. Including research on topics such as cellular manufacturing systems, evolutionary algorithms, mobile robots, and particle swarm optimization, this book serves as a useful reference for academics, manufacturing and computational science researchers, mechanical, industrial and manufacturing engineers, and professionals in related industries.