Emerald Group Publishing Limited
This book brings together a wide selection of relevant information on genetic algorithms (GA), which has already been implemented in a range of engineering disciplines.
The first chapter introduces GA, their background and the biological inspiration behind them. Chapter 2 discusses possible modifications to GA, while chapter 3 covers intrinsic characteristics of them. Hierarchical GA are introduced in chapter 4.
The remaining six chapters give details of applications for GA. Application areas discussed include H‐infinity control, computational intelligence, speech recognition systems, product planning, scheduling problems and communications systems.
The six appendices cover least mean square time delay estimation (LMSTDE), constrained LMS algorithm, a linear distributed random generator, a multiplication algorithm and a digital IIR filter design.
Overall this superb book is suitable for readers from a wide range of disciplines. The only prerequisite necessary for obtaining full benefit from this text is a basic knowledge of computer programming techniques. A software game in which an insect can be bred from various defining features and specifications is included with the book.