Applications of Evolutionary Computing: EvoWorkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC Lausanne, Switzerland, March 30 ... Notes in Computer Science, 3449, Band 3449) - Softcover

Softcover

ISBN 10: 3540253963 ISBN 13: 9783540253969

Verlag: Springer, 2009

Inhaltsangabe

Evolutionary computation (EC) techniques are e?cient nature-inspired pl- ning and optimization methods based on the principles of natural evolution and genetics. Due to their e?ciency and the simple underlying principles, these methods can be used for a large number of problems in the context of problem solving,optimization,andmachinelearning. Alargeandcontinuouslyincreasing number of researchers and practitioners make use of EC techniques in many - plication domains. The book at hand presents a careful selection of relevant EC applications combined with thorough examinations of techniques for a successful application of EC. The presented papers illustrate the current state of the art in the application of EC and should help and inspire researchers and practitioners to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2005, which was a varying collection of workshops on application-oriented aspects of EC. Since 1999, the format of the EvoWorkshops has proved to be very successful and well representative of the advances in the application of EC. Consequently, over the last few years, EvoWorkshops has become one of the major events addressing the application of EC. In contrast to other large conferences in the EC ?eld, the EvoWorkshops focus solely on application aspects of EC and are an important link between EC research and the application of EC in a large variety of di?erent domains.

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Prof. Rothlauf completed his PhD thesis in 2001 at the University of Bayreuth, supervised by David E. Goldberg of the Illinois Genetic Algorithms Laboratory (IlliGAL). His particular areas of interest are optimization and heuristics, particulary in the areas of transportation, logistics and business information systems. He chaired the main international conference on evolutionary computing, ACM GECCO, in 2009, and has co-organized many related conferences and workshops; he has also acted as guest editor for related journal special issues; and he published the book "Representations for Genetic and Evolutionary Algorithms" in 2002, this was published in a second edition in 2006. Arun Chandrasekharan is a Software Engineer at OneSpin Solutions GmbH, in Munich, Germany.He received the Dr.-Ing. degree in computer science from the University of Bremen in 2017.  His research interests are EDA algorithms and methodologies for formal verification and logic synthesis. Arun Chandrasekharan is a recipient of Richard Newton Young Student Fellowship in 2016 and German Academic Exchange Service (DAAD) scholarship for the period of 2014-2017. He is an alumni of Indian Institute of Technology, Bombay.  Daniel Große is a Senior Researcher at University of Bremen and at the German Research Center for Artificial Intelligence (DFKI) since 2015. He received the Dr.-Ing. degree in computer science from the University of Bremen in 2008. He remained as a Post-Doctoral Researcher with the Group of Computer Architecture, University of Bremen. In 2010, he was a substitute Professor for computer architecture with Albert-Ludwigs University, Freiburg, Germany. From 2013 to 2014, he was the CEO of the EDA start-up solvertec focusing on automated debugging techniques. Since 2015, he has been a Senior Researcher with the University of Bremen and DFKI, and also the Scientific Coordinator of the Graduate School of System Design, funded within the German Excellence Initiative. His current research interests include verification, virtual prototyping, debugging, and synthesis. He published over 100 papers in peer-reviewed journals and conferences in the above areas. Dr. Große served in program committees of numerous conferences, including DAC, ICCAD, DATE, CODES+ISSS, FDL, and MEMOCODE.  Prof. Rolf Drechsler is the Director of Cyber-Physical Systems department at the German Research Center for Artificial Intelligence (DFKI) since 2011. He is also a Full Professor at the Institute of Computer Science, University of Bremen, since 2001 and the head of Group of Computer Architecture (AGRA), Uni-Bremen. Before, he worked for the Corporate Technology Department of Siemens AG, and was with the Institute of Computer Science, Albert-Ludwig University of Freiburg/Breisgau, Germany. Rolf Drechsler received the Diploma and Dr. Phil. Nat. degrees in computer science from the Goethe-University in Frankfurt/Main, Germany, in 1992 and 1995, respectively. He has authored more than 200 scientific publications and 10 text books in the field of EDA for logic synthesis and formal verification.  He is also named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for the outstanding contributions to the EDA community. Yaochu Jin is an "Alexander von Humboldt Professor for Artificial Intelligence" in the Faculty of Technology, Bielefeld University, Germany. He is also a part-time Distinguished Chair Professor in Computational Intelligence at the Department of Computer Science, University of Surrey, Guildford, UK. He was a "Finland Distinguished Professor" at the University of Jyväskylä, Finland, "Changjiang Distinguished Visiting Professor" at Northeastern University, China, and "Distinguished Visiting Scholar" at the University of Technology in Sydney, Australia. His main research interests include data-driven optimization, multi-objective optimization, multi-objective learning, trustworthy machine learning, and evolutionary developmental systems. Prof Jin is a Member of Academia Europaea and IEEE Fellow. Hangyu Zhu received B.Sc. degree from Yangzhou University, Yangzhou, China, in 2015, M.Sc. degree from RMIT University, Melbourne, VIC, Australia, in 2017, and PhD degree from University of Surrey, Guildford, UK, in 2021. He is currently a Lecturer with the Department of Artificial Intelligence and Computer Science, Jiangnan University, China. His main research interests are federated learning and evolutionary neural architecture search. Jinjin Xu received the B.S and Ph.D. degrees from East China University of Science and Technology, Shanghai, China, in 2017 and 2022, respectively. He is currently a researcher with the Intelligent Perception and Interaction Research Department, OPPO Research Institute, Shanghai, China. His research interests include federated learning, data-driven optimization and its applications. Yang Chen received Ph.D. from the School of Information and Control Engineering, China University of Mining and Technology, China, in 2019. He was a Research Fellow with the School of Computer Science and Engineering, Nanyang Technological University, Singapore, 2019-2022. He is currently with the School of Electrical Engineering,  China University of Mining and Technology, China. His research interests include deep learning, secure machine learning, edge computing, anomaly detection, evolutionary computation, and intelligence optimization.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2009
• Sprache: Englisch
• ISBN 10: 3540253963
• ISBN 13: 9783540253969
• Einband: Taschenbuch
• Anzahl der Seiten: 651
• Herausgeber: Rothlauf Franz, Branke Jürgen, Cagnoni Stefano, Corne David W., Drechsler Rolf, Jin Yaochu, Machado Penousal, Marchiori Elena, Romero Juan, Smith George D., Squillero Giovanni
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar