New edition of well-established undergraduate textbook revised to offer an integrated view on evolution-based problem-solving algorithms Suitable for self-study by practitioners and researchers Combines chapters on parameter tuning and control with "how-to" chapters in a new book part dedicated to methodology The overall structure of this new edition is three-tier: Part I presents the basics, Part II discusses advanced topics, and Part III is concerned with methodological issues. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, and they added a new chapter on parameter tuning and grouped this with the parameter control and "how-to" chapters into a methodological part. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
- ISBN: 978-3-662-44873-1
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 280
- Fecha Publicación: 07/09/2015
- Nº Volúmenes: 1
- Idioma: