Overview

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.

Full Product Details

Author:   A. M. S. Zalzala (Lecturer, University of Sheffield, Department of Automatic Control and Systems Engineering, UK) ,  Peter Fleming (Professor, University of Sheffield, Department of Automatic Control and Systems Engineering, UK) ,  A. Chipperfield (University of Sheffield, Department of Automatic Control and Systems Engineering, UK) ,  J. J. Grefenstette (Naval Research Laboratory, USA)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
Volume:   v. 55
ISBN:  

9780852969021

ISBN 10:   0852969023
Pages:   280
Publication Date:   30 June 1997
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: Introduction to genetic algorithms Chapter 2: Levels of evolution for control systems Chapter 3: Multiobjective genetic algorithms Chapter 4: Constraint resolutions in genetic algorithms Chapter 5: Towards the evolution of scaleable neural architectures Chapter 6: Chaotic systems identifcation Chapter 7: Job shop scheduling Chapter 8: Evolutionary algorithms for robotic systems: principles and implemenations Chapter 9: Aerodynamic inverse optimisation problems Chapter 10: Genetic design of VLSI layouts

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Author Information

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. Peter Fleming is a professor of industrial systems and control at the University of Sheffield and head of the Department of Automatic Control and Systems Engineering. His control and systems engineering interests include control applications of genetic algorithms and optimisation, software for control system design and implementation, and distributed and parallel processing for real-time control and instrumentation. These interests have led to the development of close links with a variety of industries in sectors such as aerospace, power generation, food processing and manufacturing. He is director of the Rolls-Royce University Technology Centre for Control and Systems Engineeringand has authored over 150 publications, including four books.

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