Evolutionary computing in advanced manufacturing / edited by Manoj Tiwari and Jenny A. Harding.
Material type:
TextPublisher: Hoboken, New Jersey : Salem, MA : Wiley ; Scrivener, [2011]Copyright date: 2011Description: 1 online resource (285 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781118161876 (e-book)Subject(s): Manufacturing processes -- Data processing | Evolutionary computationGenre/Form: Electronic books.Additional physical formats: Print version:: Evolutionary computing in advanced manufacturing.DDC classification: 658.800285/63 LOC classification: TS183 | .E86 2011Online resources: Click to View Summary: "This cutting-edge book covers emerging, evolutionary and nature inspired optimization techniques in the field of advanced manufacturing. The complexity of real life advanced manufacturing problems often cannot be solved by traditional engineering or computational methods. Hence, in recent years researchers and practitioners have proposed and developed new strands of advanced, intelligent techniques and methodologies. Evolutionary computing approaches are introduced in the context of a wide range of manufacturing activities, and through the examination of practical problems and their solutions, readers will gain confidence to apply these powerful computing solutions. The initial chapters introduce and discuss the well established evolutionary algorithm, to help readers to understand the basic building blocks and steps required to successfully implement their own solutions to real life advanced manufacturing problems. In the later chapters, modified and improved versions of evolutionary algorithms are discussed. The book concludes with appendices which provide general descriptions of several evolutionary algorithms"-- Provided by publisher.
Includes bibliographical references and index.
"This cutting-edge book covers emerging, evolutionary and nature inspired optimization techniques in the field of advanced manufacturing. The complexity of real life advanced manufacturing problems often cannot be solved by traditional engineering or computational methods. Hence, in recent years researchers and practitioners have proposed and developed new strands of advanced, intelligent techniques and methodologies. Evolutionary computing approaches are introduced in the context of a wide range of manufacturing activities, and through the examination of practical problems and their solutions, readers will gain confidence to apply these powerful computing solutions. The initial chapters introduce and discuss the well established evolutionary algorithm, to help readers to understand the basic building blocks and steps required to successfully implement their own solutions to real life advanced manufacturing problems. In the later chapters, modified and improved versions of evolutionary algorithms are discussed. The book concludes with appendices which provide general descriptions of several evolutionary algorithms"-- Provided by publisher.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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