Evolutionary computation in scheduling/

"This book provides insight into the use of evolutionary computations in real-world applications. This edited book allows the reader to analyze the point of view of each contributor regarding how to choose a specific evolutionary computation and how to validate the results using metrics and sta...

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Bibliographic Details
Corporate Authors: Wiley Online Library (Online service)
Group Author: Gandomi, Amir Hossein; Emrouznejad, Ali.; Jamshidi, Mohammad; Deb, Kalyanmoy; Rahimi, Iman
Published: John Wiley & Sons, Inc.,
Publisher Address: Hoboken, NJ :
Publication Dates: 2020.
Literature type: eBook
Language: English
Subjects:
Online Access: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119574293
Summary: "This book provides insight into the use of evolutionary computations in real-world applications. This edited book allows the reader to analyze the point of view of each contributor regarding how to choose a specific evolutionary computation and how to validate the results using metrics and statistics. The spectrum of real-world optimization problems dealt with in this book includes, among others, application of EC in industry and service organizations such as healthcare scheduling, aircraft industry, school timetabling, manufacturing systems, and transportation scheduling in the supply chain. Throughout the book, the reader will find not only problems with different degrees of complexity, but also with different practical requirements, user constraints, and a variety of MOEC solution approaches. This book is ideal for engineers in industries, research scholars, advanced undergraduates and graduate students, and faculty teaching and conducting research in Operations Research and Industrial Engineering"--
Item Description: Description based on print version record.
Carrier Form: 1 online resource (xvii, 341 pages) : illustrations
Also available in print.
Bibliography: Includes bibliographical references and index.
ISBN: 9781119574293 (electronic book)
111957384X
9781119573845
Index Number: HD69
CLC: TP315