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Titlebook: Computational Science and Its Applications – ICCSA 2016; 16th International C Osvaldo Gervasi,Beniamino Murgante,Shangguang Wang Conference

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Solving the Set Covering Problem with a Binary Black Hole Inspired Algorithmf the most representative of them, being used in various branches of engineering and science, allowing find a set of solutions that meet the needs identified in the restrictions that have the lowest possible cost. This paper presents an algorithm inspired by binary black holes (BBH) to resolve known
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Analytical Spatial-Angular Structure of Uniform Slab Radiation Fields for Strongly Elongated Phase Fenstein phase function with parameter . and representative models of optical parameters of Earth’s aerosol atmosphere. The accuracy of obtained approximate relations has been evaluated also. The obtained fitting analytical expressions have clear physical meaning and can be used for the statement and
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Acetone Clusters Molecular Dynamics Using a Semiempirical Intermolecular Potentialen modelled by a recently developed approach targeted to accuracy and low computational cost adopting the Improved Lennard-Jones (ILJ) function to describe the long-range interaction of small clusters systems.
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Cumulative Updating of Network Reliability with Diameter Constraint and Network Topology Optimizatious to make a decision about the network reliability (or unreliability) with respect to a given threshold without performing the exhaustive calculation. Based on this method, we obtain the genetic algorithm and the clonal selection algorithm for network topology optimization. Some computational resul
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Linear Programming in a Multi-Criteria Model for Real Estate Appraisal analyses, however, are often based on very strong assumptions. A multi-criteria valuation model that uses linear programming is applied to the real estate market. The model, integrated with the inductive and deductive approach, exceeds many of the assumptions of the best known statistical approache
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Embryological and Anatomical Introduction,en modelled by a recently developed approach targeted to accuracy and low computational cost adopting the Improved Lennard-Jones (ILJ) function to describe the long-range interaction of small clusters systems.
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Cerebral Arteriovenous Malformations,us to make a decision about the network reliability (or unreliability) with respect to a given threshold without performing the exhaustive calculation. Based on this method, we obtain the genetic algorithm and the clonal selection algorithm for network topology optimization. Some computational resul
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