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Multi-objective Optimization Using Evolutionary Algorithms
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Table of Contents

Foreword. Preface. Prologue. Multi--Objective Optimization. Classical Methods. Evolutionary Algorithms. Non--Elitist Multi--Objective Evolutionary Algorithms. Elitist Multi--Objective Evolutionary Algorithms. Constrained Multi--Objective Evolutionary Algorithms. Salient Issues of Multi--Objective Evolutionary Algorithms. Applications of Multi--Objective Evolutionary Algorithms. Epilogue. References. Index.

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"...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) A"A...an outstandingly well--organized and clearly written account of the subjectA" (The Mathematical Gazette, July 2003)

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