Multi-objective Evolutionary Optimisation for Product Design and Manufacturing (eBook)

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Autor: Lihui (Hrsg.) Wang

CHF 236.00

ISBN: 978-0-85729-652-8

Einband: PDF

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With the increasing complexity and dynamism in today's product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing.

Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing.

Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

Autor	Wang, Lihui (Hrsg.) / Ng, Amos H. C. (Hrsg.) / Deb, Kalyanmoy (Hrsg.)
Verlag	Springer London
Einband	PDF
Erscheinungsjahr	2011
Seitenangabe	505 S.
Ausgabekennzeichen	Englisch
Abbildungen	XV, 505 p.
Auflage	2011

Über den Autor Lihui (Hrsg.) Wang

Professor Lihui Wang is a Chair Professor of Department of Production Engineering, KTH Royal Institute of Technology. He gained his Bachelor degree from Tsinghua University (China) in 1982, followed by his Master and PhD from Kobe University (Japan) in 1990 and 1993, respectively. He is the Editor-in-Chief of Journal of Manufacturing Systems, International Journal of Manufacturing Research, and Robotics and Computer-Integrated Manufacturing. He has published over 500 journal and conference papers, 31 book chapters and 10 books. Dr. Xi (Vincent) Wang is an Associate Professor in the IIP Department of Production Engineering, KTH Sweden. He is working with the division of Sustainable Manufacturing Systems (SPS). Vincent received his PhD and Bachelor degrees in Mechanical Engineering from the University of Auckland (New Zealand) and Tianjin University (China), in 2013 and 2008, respectively. Vincent's main research focus includes Cloud-based manufacturing, sustainable manufacturing, robotics, computer-aided design, and manufacturing systems. He also serves as the managing editor of the International Journal of Manufacturing Research (IJMR), Associate Editor of SME Journal of Manufacturing Systems (JMS), and Array-Open Access Journal by Elsevier. Dr. József Váncza is Head of the Research Laboratory on Engineering and Management Intelligence in the Institute for Computer Science and Control (SZTAKI) of the Eötvös Loránd Research Network, Budapest, Hungary, as well as Associate Professor at the Budapest University of Technology and Economics (BME). He received his MSc (1984) and PhD (1994) degrees from BME and the Hungarian Academy of Sciences, respectively. He is Fellow of the International Academy for Production Engineering (CIRP) where he served as Chair of STC O. He is author of 200+ scientific publications, including 25 book chapters, and editor of 4 books. Dr. Zsolt Keményis a senior researcher at the Laboratory on Engineering and Management Intelligence in the Institute for Computer Science and Control (SZTAKI) of the Eötvös Loránd Research Network, Budapest, Hungary. He received his computer science MSc and PhD from Budapest University of Technology and Economics, in 1998 and 2004, respectively. Aside from research focusing on robotics, automation and manufacturing, he is also teaching mechatronics, cyber-physical production systems, and robotics. He is author or co-author of 77 scientific publications.