Titlebook: Computational Science – ICCS 2020; 20th International C Valeria V. Krzhizhanovskaya,Gábor Závodszky,João T Conference proceedings 2020 Spri

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Trilateration-Based Multilevel Method for Minimizing the Lennard-Jones Potentialom borne from the high-dimensional spaces in which increasingly high-fidelity material models are defined. To efficiently exploit the domain-, data-, and approximation-based hierarchies hidden in many such problems, we propose a trilateration-based multilevel method to initialize the underlying opti

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A Stochastic Birth-Death Model of Information Propagation Within Human Networksa Moran process finds a compelling application in modeling information propagation through human networks. Here we present a stochastic model for a two-state human population in which each of . individual nodes subscribes to one of two contrasting messages, or pieces of information. We use a mutatio

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A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assllows: at each iteration, quadratic approximations of the Three-Dimensional-Variational (3D-Var) cost function are built about current solutions. These approximations are employed to build sub-spaces onto which analysis increments can be estimated. We sample search-directions from those sub-spaces,

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Ant Colony Optimization Implementation for Reversible Synthesis in Walsh-Hadamard Domainn function is an np-hard problem. The meta-heuristic approaches are one of the most promising methods for these types of optimization problems. In this paper, a new approach for ACO reversible synthesis is presented. Usually, authors build an ACO system with the use of truth table or permutation rep

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On the Potential of the Nature-Inspired Algorithms for Pure Binary Classificationts of experiments, conducted on three well-known datasets publicly available on web, were comparable with the results of the traditional methods in terms of accuracy and, therefore, the huge potential was exhibited by the proposed method.