Evolutionary Multiobjective Optimization: Theoretical Advances and Applications (Advanced Information and Knowledge Processing) : Theoretical Advances and Applications

Ajith Abraham

ISBN 10: 1852337877 / ISBN 13: 9781852337872

Edité par Springer-Verlag Gmbh, 2005

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Gebraucht - Gut gu - beschädigungen, verschmutzungen, ungelesenes mängelexemplar, gestempelt - Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and seismic loading conditions used to illustrate the various multiobjective optimization concepts.Important features include: Detailed overview of all the multiobjective optimization paradigms using evolutionary algorithms; Excellent coverage of timely, advanced multiobjective optimization topics; State-of-the-art theoretical research and application developments Chapters authored by pioneers in the field. Academics and industrial scientists as well as engineers engaged in research, development and application of evolutionary algorithm based Multiobjective Optimization will find the comprehensive coverage of this book invaluable. N° de réf. du vendeur INF1000359558

Détails bibliographiques

Titre : Evolutionary Multiobjective Optimization: ...

Éditeur : Springer-Verlag Gmbh

Date d'édition : 2005

Reliure : Gebundene Ausgabe

Etat : Gut

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Synopsis :

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.