By
Russell Eberhart, Purdue School of Engineering
Yuhui Shi, Electronic Data Systems, Inc.
Description
Russ Eberhart and Yuhui Shi have succeeded in integrating various natural and engineering disciplines to establish Computational Intelligence.
This is the first comprehensive textbook, including lots of practical examples. -Shun-ichi Amari, RIKEN Brain Science Institute, Japan
This book is an excellent choice on its own, but, as in my case, will form the foundation for our advanced graduate courses in the
CI disciplines. -James M. Keller, University of Missouri-Columbia
The excellent new book by Eberhart and Shi asserts that computational
intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational
intelligence. The book has an emphasis on practical applications and computational tools, which are very useful and important for further
development of the computational intelligence field. -Xin Yao, The Centre of Excellence for Research in Computational Intelligence and
Applications, Birmingham
The “soft” analytic tools that comprise the field of computational intelligence have matured to the extent
that they can, often in powerful combination with one another, form the foundation for a variety of solutions suitable for use by domain
experts without extensive programming experience.
Computational Intelligence: Concepts to Implementations provides the conceptual
and practical knowledge necessary to develop solutions of this kind. Focusing on evolutionary computation, neural networks, and fuzzy
logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive
experience, proved highly effective.
Features
• Moves clearly and efficiently from concepts and paradigms to algorithms and implementation
techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors’ methodologies.
• Explores
a number of key themes, including self-organization, complex adaptive systems, and emergent computation.
• Details the metrics and
analytical tools needed to assess the performance of computational intelligence tools.
• Concludes with a series of case studies that
illustrate a wide range of successful applications.
• Presents code examples in C and C++.
• Provides, at the end of each chapter,
review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study.
• Makes
available, on a companion website, a number of software implementations that can be adapted for real-world applications.
Audience:
Professional and academic researchers in computational intelligence applications, tool development, and systems.
