Wiley-VCH - Deb, Kalyanmoy - Multi-Objective Optimization Using Evolutionary Algorithms

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Deb, Kalyanmoy Multi-Objective Optimization Using Evolutionary Algorithms Wiley-Interscience Series in Systems and Optimization 1. Edition May 2001 139.- Euro 2001. XX, 498 Pages, Hardcover - Handbook/Reference Book - ISBN 978-0-471-87339-6 - John Wiley & Sons Also available as Softcover.
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Short description Evolutionary algorithms are relatively new, powerful techniques used to find solutions to many real-world search and optimization problems. Focusing on these "thinking" algorithms, this book offers comprehensive coverage of these techniques, which are highly effective in finding multiple effective solutions in a single simulation run. Each algorithm is introduced along with examples and an in-depth discussion. From the 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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