Ebook: Advances in Computational Intelligence: Theory and Practice

The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way. Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical engineering.
This book will become a valuable source of reference for researchers active in computational intelligence. Advanced students and professionals interested in learning about and applying advanced techniques of computational intelligence will appreciate the book as a useful guide enhanced by numerous examples and applications in a variety of fields.

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The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way. Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical engineering.
This book will become a valuable source of reference for researchers active in computational intelligence. Advanced students and professionals interested in learning about and applying advanced techniques of computational intelligence will appreciate the book as a useful guide enhanced by numerous examples and applications in a variety of fields.

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The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way. Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical engineering.
This book will become a valuable source of reference for researchers active in computational intelligence. Advanced students and professionals interested in learning about and applying advanced techniques of computational intelligence will appreciate the book as a useful guide enhanced by numerous examples and applications in a variety of fields.
Content:
Front Matter....Pages I-IX
Introduction....Pages 1-11
Front Matter....Pages 13-13
Mathematical Foundations of Fuzzy Inference....Pages 15-45
Data-Based Fuzzy Modeling for Complex Applications....Pages 46-77
Fuzzy Modeling to Cope with Ambiguities....Pages 78-103
Front Matter....Pages 105-105
Theory of Evolutionary Algorithms and Genetic Programming....Pages 107-144
Design of Evolutionary Algorithms and Applications in Surface Reconstruction....Pages 145-193
Genetic Programming and Its Application in Machining Technology....Pages 194-241
Front Matter....Pages 243-243
Novel Learning Tasks, Optimization, and Their Application....Pages 245-318
Back Matter....Pages 319-325

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The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way. Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical engineering.
This book will become a valuable source of reference for researchers active in computational intelligence. Advanced students and professionals interested in learning about and applying advanced techniques of computational intelligence will appreciate the book as a useful guide enhanced by numerous examples and applications in a variety of fields.
Content:
Front Matter....Pages I-IX
Introduction....Pages 1-11
Front Matter....Pages 13-13
Mathematical Foundations of Fuzzy Inference....Pages 15-45
Data-Based Fuzzy Modeling for Complex Applications....Pages 46-77
Fuzzy Modeling to Cope with Ambiguities....Pages 78-103
Front Matter....Pages 105-105
Theory of Evolutionary Algorithms and Genetic Programming....Pages 107-144
Design of Evolutionary Algorithms and Applications in Surface Reconstruction....Pages 145-193
Genetic Programming and Its Application in Machining Technology....Pages 194-241
Front Matter....Pages 243-243
Novel Learning Tasks, Optimization, and Their Application....Pages 245-318
Back Matter....Pages 319-325
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