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Multi-Objective Optimization using Evolutionary Algorithms
Kalyanmoy Deb (Author)
9780471873396, Wiley
Hardback, published 22 May 2001
536 pages
25.3 x 17.4 x 3.5 cm, 1.106 kg
"Deb's book is complete, eminently readable, and the coverage is scholarly and thorough. It is my pleasure and duty to urge you to buy this book, read it, use it and enjoy it." (David E. Goldberg, University of Illinois at Urbana-Champaign, USA) "...discusses two multi-objective optimization procedures, namely the ideal procedure and the preference-based one." (Zentralblatt MATH, Vol. 970, 2001/20) Excerpt from Preface: "...provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches." (Mathematical Reviews, 2002) "...As a survey, this book is exemplary and forms an essential resource for EMO researchers at the present time." (Siam Review, Vol.44, No.3, 2002) "...a readable account of a topic of current interest in operational research." (Mathematika, No.48, 2001) ??an outstandingly well-organized and clearly written account of the subject? (The Mathematical Gazette, July 2003)
Optimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft.
Foreword xv Preface xvii 1 Prologue 1 2 Multi-Objective Optimization 13 3 Classical Methods 49 4 Evolutionary Algorithms 81 5 Non-Elitist Multi-Objective Evolutionary Algorithms 171 6 Elitist Multi-Objective Evolutionary Algorithms 239 7 Constrained Multi-Objective Evolutionary Algorithms 289 8 Salient Issues of Multi-Objective Evolutionary Algorithms 315 9 Applications of Multi-Objective Evolutionary Algorithms 447 10 Epilogue 481 References 489 Index 509
Subject Areas: Mathematics [PB]
