Multi-Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb is an Indian computer scientist. Since 2013, Deb has held the Herman E. & Ruth J. Koenig Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University, which was established in 2001.

• Foreword xvPreface xvii1 Prologue 12 Multi-Objective Optimization 133 Classical Methods 494 Evolutionary Algorithms 815 Non-Elitist Multi-Objective Evolutionary Algorithms 1716 Elitist Multi-Objective Evolutionary Algorithms 2397 Constrained Multi-Objective Evolutionary Algorithms 2898 Salient Issues of Multi-Objective Evolutionary Algorithms 3159 Applications of Multi-Objective Evolutionary Algorithms 44710 Epilogue 481References 489Index 509

"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)