Fuzzy Evolutionary Computation
By: edited by Witold Pedrycz
Publisher: Springer US; Imprint; Springer
Published: 1997
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 336
ISBN-13: 9781461561354
Description: The main theme of <em>Fuzzy Evolutionary Computation</em> is to highlight a synergistic effect that is emerging between fuzzy sets and evolutionary computation. This volume discusses and quantifies the main advantages arising from this new symbiosis. The scope of the book is broad, ranging from coverage of fundamental ideas in fuzzy sets and evolutionary computation, through inclusion of cutting edge research, to case studies. The focus is on the applied side of fuzzy evolutionary calculations. <br/> Each contribution is systematic and thorough in its presentations, and emphasizes design of evolutionary schemes that embraces various sources of domain knowledge. The authors have also included problem sets at the end of each chapter which explore specific conceptual and algorithmic points covered in the text. <br/> <em>Fuzzy Evolutionary Computation</em> is an indispensable reference work for practitioners, engineers, and scientists interested in techniques of evolutionary computation in the context of fuzzy sets and/or global optimization. The book will be useful for individuals actively pursuing research applications in both fuzzy sets and evolutionary computation.