APPLICATIONS OF EVOLUTIONARY COMPUTING: EVOWORKSHOPS 2008, EVOCOMNET, EVOFIN, EVOHOT, EVOIASP, EVOMUSART, EVONUM, EVOSTOC, AND EVOTRANSLOG NAPLES, ITALY, MARCH 26-28, 2008 PROCEEDINGS by ROLF DRECHSLER, GIANNI A. DI CARO, STEFANO CAGNONI, 9783540787600
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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 simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and machine learning. A large and continuously increasing number of researchers and prof- sionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and - spire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2008, which consisted of a range of workshops on application-oriented aspects of EC. Since 1998, EvoWorkshops has provided a unique opportunity for EC researchers to meet and discuss applicationaspectsofECandhasservedasanimportantlink between EC research and its application in a variety of domains. During these ten years new workshops have arisen, some have disappeared, while others have matured to become conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO last year.
This book constitutes the refereed joint proceedings of eight European workshops on the Theory and Applications of Evolutionary Computation, EvoWorkshops 2008, held in Naples, Italy, in March 2008 within the scope of the EvoStar 2008 event.
The 57 revised full papers and 18 revised short papers presented were carefully reviewed and selected from a total of 133 submissions. In accordance with the eight workshops covered, the papers are organized in topical sections on application of nature-inspired techniques to telecommunication networks and other connected systems, evolutionary computation in finance and economics, bio-inspired heuristics for design automation, evolutionary computation in image analysis and signal processing, evolutionary and biologically inspired music, sound, art and design, bio-inspired algorithms for continuous parameter optimization, evolutionary algorithms in stochastic and dynamic environments, theory and applications of evolutionary computation, and on evolutionary computation in transportation and logistics.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 simple underlying principles, these me- ods can be used in the context of problem solving, optimization, and machine learning. A large and continuously increasing number of researchers and prof- sionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and - spire researchers and professionals to develop e cient EC methods for design and problem solving. All papers in this book were presented during EvoWorkshops 2008, which consisted of a range of workshops on application-oriented aspects of EC. Since 1998, EvoWorkshops has provided a unique opportunity for EC researchers to meet and discuss applicationaspectsofECandhasservedasanimportantlink between EC research and its application in a variety of domains. During these ten years new workshops have arisen, some have disappeared, while others have matured to become conferences of their own, such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO last year. Artikel-Nr. 9783540787600
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