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Titlebook: Advances in Intelligent Modelling and Simulation; Simulation Tools and Aleksander Byrski,Zuzana Oplatková,Marek Kisiel-Do Book 2012 Springe

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Norman J. Rosenberg,James A. Edmondsroaches in this field. Finally a comparative analysis of the real microarray data with different sizes is presented to evaluate the performance of the underlying methods with RMA which is one of the common techniques in the analysis of microarray studies.
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https://doi.org/10.1007/978-3-031-42056-6 The work consists of the descriptions of analytic programming as well as chaotic system and used cost functions. For experimentation, Self-Organising Migrating Algorithm (SOMA) and Differential Evolution (DE) were used.
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https://doi.org/10.1007/978-3-642-28888-3Computational Intelligence; Industrial Applications; Intelligent Simulation; Intelligent Systems; Simula
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978-3-642-44743-3Springer Berlin Heidelberg 2012
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Aleksander Byrski,Zuzana Oplatková,Marek Kisiel-DoPresents new research concepts and ideas in the research area of simulations.Reference to researchers and practitioners in the simulation field, as well as an inspiration to those interested in the ar
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Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/148531.jpg
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Advances in Intelligent Modelling and Simulation978-3-642-28888-3Series ISSN 1860-949X Series E-ISSN 1860-9503
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P. M. Dhage,N. S. Raghuwanshi,R. Singhhip in a knowledge-based economy. We develop an agent-based simulation tool that enables researchers to explore entrepreneurial strategies, their associated financial payoffs, and their knowledge creation potential under different environmental conditions. Opportunity recognition processes can be an
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Water Science and Technology Libraryt may be used in the area of agent-based simulation. The discussion focuses on technical issues—the support for agent-specific services as well as the mechanisms allowing for extensibility and flexibility of the configuration of simulation models and systems. The considerations are illustrated by a
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