Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms

The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. The book is intended for a wide readership. Read More

The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. The book is intended for a wide readership. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $29.70 (Expires Mar 25, 2025) 60 Day Rental: $39.60 (Expires Apr 24, 2025) 90 Day Rental: $49.50 (Expires May 24, 2025) 120 Day Rental: $59.40 (Expires Jun 23, 2025) 180 Day Rental: $64.35 (Expires Aug 22, 2025) Buy eBook Lifetime Access: $99.00 Title: Evolutionary Multi-Objective Optimization in Uncertain Environments by Chi-Keong Goh; Kay Chen Tan Publisher: Springer Nature Print ISBN: 9783642101137, 3642101135 eText ISBN: 9783540959762 Edition: 2010 Format: PDF eBook	$29.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ