This book comprises ten invited expert contributions on the theory and applications of genetic algorithms in a variety of engineering systems. In addition to addressing the simple formulation of GAs, the chapters include original material on the design of evolutionary algorithms for particular engineering applications. Chosen for their experience in the field, the authors are drawn from both academia and industry worldwide, and provide extensive insight into their respective fields. The volume is suitable for researchers and postgraduates who need to be up-to-date with developments in this important subject, as well as practitioners in industry who are eager to find out how to solve their particular real-life problems.
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Ali Zalzala is a lecturer in control engineering at the University of Sheffield with particular interest in industrial automation. Through the Robotics Research Group, he manages an active programme on the advanced real-time control of intelligent systems. In addition to the development of industry-supported systems, research is carried out on the applications of soft computing techniques and distributed processing in robotics, manufacturing processes and prosthetic devices. His work is supported by grants from EPSRC, ESPRIT as well as industry. Over the last few years, he has published over 70 papers in journals and international conference proceedings.
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