The overall structure of this new edition is three-tier: Part I presents the basics Part II is
concerned with methodological issues and Part III discusses advanced topics. 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 a chapter on
parameter tuning which they combined with the parameter control and how-to chapters into a
methodological part and finally a chapter on evolutionary robotics with an outlook on possible
exciting developments in this field. 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.
