Titlebook: JIMD Reports, Volume 27; Eva Morava,Matthias Baumgartner,Verena Peters Book 2016 SSIEM and Springer-Verlag Berlin Heidelberg 2016 inherite

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Ghadi Antoun,Skye McBride,Jason R. Vanstone,Turaya Naas,Jean Michaud,Stephanie Redpath,Hugh J. McMiliency). What is a MOEA test? Should we use a multi-objective optimization problem (MOP) test function, a MOP test suite, pedagogical functions, or a real-world problem? How to find an appropriate MOEA test?.Should we rely on the MOEA literature, on historical use, on test generators, or on well know

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P. Bala,S. Ferdinandusse,S. E. Olpin,P. Chetcuti,A. A. M. Morrispast. While some of these methods have been shown towork well in applications and have become somewhat established overthe years, other techniques have been ignored. .Recently, there has been a growing interest in optimization algorithmsbased on principles observed in nature, termed Evolutionary Alg

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Paula Fernandez-Guerra,M. Lund,T. J. Corydon,N. Cornelius,N. Gregersen,J. Palmfeldt,Peter Brosspast. While some of these methods have been shown towork well in applications and have become somewhat established overthe years, other techniques have been ignored. .Recently, there has been a growing interest in optimization algorithmsbased on principles observed in nature, termed Evolutionary Alg

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Priscila Nicolao Mazzola,Vibeke Bruinenberg,Karen Anjema,Danique van Vliet,Carlos Severo Dutra-Filhorketing databases provide a rich source of historical evidence of such behaviour. This paper uses such data to examine how players in iterated oligopolies respond to their rivals’ behaviour, and uses machine learning to derive improved contingent strategies for such markets, in order to provide insi

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