Description: Evolutionary Constrained Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Rituparna Datta, Kalyanmoy Deb Format: Hardback Publisher: Springer, India, Private Ltd, India Imprint: Springer, India, Private Ltd ISBN-13: 9788132221838, 978-8132221838 Synopsis This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
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Location: Aldershot
End Time: 2024-04-30T10:31:28.000Z
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Book Title: Evolutionary Constrained Optimization
Subject Area: Mechanical Engineering
Item Height: 235mm
Item Width: 155mm
Author: Rituparna Datta, Kalyanmoy Deb
Publication Name: Evolutionary Constrained Optimization
Format: Hardcover
Language: English
Publisher: Springer, India, Private LTD
Subject: Computer Science, Mathematics
Publication Year: 2014
Type: Textbook
Item Weight: 6878g
Number of Pages: 319 Pages
