Stigmergic Optimization (Studies in Computational Intelligence)

ISBN 10: 3540346899 / ISBN 13: 9783540346890

Verlag: Springer, 2006

Beschreibung

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Bestandsnummer des Verkäufers SHUB266939

Bibliografische Details

• Titel: Stigmergic Optimization (Studies in Computational Intelligence)
• Verlag: Springer
• Erscheinungsjahr: 2006
• Sprache: Englisch
• ISBN-10: 3540346899
• ISBN-13: 9783540346890
• Einband: Hardcover
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

First studied in social insects like ants, indirect self-organizing interactions - known as "stigmergy" - occur when one individual modifies the environment and another subsequently responds to the new environment. The implications of self-organizing behavior extend to robotics and beyond. This book explores the application of stigmergy for a variety of optimization problems. The volume comprises 12 chapters including an introductory chapter conveying the fundamental definitions, inspirations and research challenges.

Von der hinteren Coverseite

Biologists studied the behavior of social insects for a long time. After millions of years of evolution all these species have developed incredible solutions for a wide range of problems. The intelligent solutions to problems naturally emerge from the self-organization and indirect communication of these individuals. Indirect interactions occur between two individuals when one of them modifies the environment and the other responds to the new environment at a later time. Such an interaction is an example of stigmergy . This book deals with the application of stigmergy for a variety of optimization problems. This volume comprises 12 chapters including an introductory chapter giving the fundamental definitions, inspirations and some research challenges.

Important features include a detailed overview of all the stigmergic optimization paradigms, excellent coverage of timely, advanced stigmergic optimization topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and application of stigmergic optimization will find the comprehensive coverage of this book invaluable.