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Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applications in industry and commerce to leading-edge scientific research.This book presents the first complete overview of this exciting field aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. To this group the book is valuable because it presents EC as something to be used rather than just studied.Last, but not least, this book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
List of contents
1 Introduction.- 2 What is an Evolutionary Algorithm?.- 3 Genetic Algorithms.- 4 Evolution Strategies.- 5 Evolutionary Programming.- 6 Genetic Programming.- 7 Learning Classifier Systems.- 8 Parameter Control in Evolutionary Algorithms.- 9 Multimodal Problems and Spatial Distribution.- 10 Hybridisation with Other Techniques: Memetic Algorithms.- 11 Theory.- 12 Constraint Handling.- 13 Special Forms of Evolution.- 14 Working with Evolutionary Algorithms.- 15 Summary.- A Gray Coding.- B Test Functions.- References.
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From the reviews:
"This is intended primarily as a textbook for lecturers and graduate and undergraduate students but will certainly attract a wider readership. The authors explain that each of them has many years of teaching experience, and has given instruction on Evolutionary Computing (EC) ... and they realised the need for a suitable textbook and decided to write this one. ... Beside serving as an introduction the book is a guide to the state-of-the art. ... This is a well-produced and very useful book." (Alex M. Andrew, Robotica, Vol. 22, 2004)
