eBook, PDF

Evolutionary Multiobjective Optimization (eBook, PDF)

Theoretical Advances and Applications

Redaktion: Abraham, Ajith; Goldberg, Robert

Beschreibung

Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 7.7MB

Autor

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

Produktdetails

• Verlag: Springer London
• Seitenzahl: 302
• Erscheinungstermin: 5. September 2005
• Englisch
• ISBN-13: 9781846281372
• Artikelnr.: 37345232