Introduction to Evolutionary Computing (Hardcover)

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.

這本新版書籍的整體結構分為三個層次：第一部分介紹基礎知識，第二部分討論方法論問題，第三部分探討高級主題。在第二版中，作者重新組織了材料，專注於問題、如何表示問題，以及如何選擇和設計不同表示的演算法。他們還增加了一章關於問題的內容，反映了整本書對問題解決者的關注，一章關於參數調整，將其與參數控制和「如何」章節結合成一個方法論部分，最後一章關於演化機器人學，展望了這一領域可能的令人興奮的發展。

這本書適合人工智慧和計算智能的本科和研究生課程，以及從事生物啟發設計和優化各個方面的從業人員和研究人員自學使用。