Titlebook: Learning and Intelligent Optimization; 8th International Co Panos M. Pardalos,Mauricio G.C. Resende,Jose L. Wa Conference proceedings 2014

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Deconstructing Multi-objective Evolutionary Algorithms: An Iterative Analysis on the Permutation Flw of them analyze the actual contribution of the basic algorithmic components of MOEAs. These components include the underlying EA structure, the fitness and diversity operators, and their policy for maintaining the population. In this paper, we compare seven MOEAs from the literature on three bi-ob

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MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization,g methods, we propose using a multi-objective infill criterion that rewards both the diversity and the expected improvement of the proposed points. This criterion can be applied more universally than the existing ones because it has less requirements. Internally, an evolutionary algorithm is used to

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Marie-Liesse Cauwet,Jialin Liu,Olivier Teytaude store their private information into the devices. However, the portability and mobility of devices take risks such as being lost or stolen. These devices are the one of main cause to leak the sensitive and confidential information. To protect the information leakage from devices, the encryption al

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Frank Hutter,Manuel López-Ibáñez,Chris Fawcett,Marius Lindauer,Holger H. Hoos,Kevin Leyton-Brown,Tho research is to predicthow IS research is likely to evolve in the near future and to suggest to which direction it should be further conducted. We attempted to investigate the previous research topics about information systems in the fields of SCM on the basis of 96 journal articles published betwee

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