Titlebook: Advances in Stochastic and Deterministic Global Optimization; Panos M. Pardalos,Anatoly Zhigljavsky,Julius Žilin Book 2016 Springer Intern

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Antonio Polimeni,Antonino Vitettanlinear least-squares global optimization problem. A one-parametric case study is examined to determine an unknown frequency of a signal. Univariate Lipschitz-based deterministic methods are used for solving such problems within a limited computational budget. It is shown that the usage of local inf

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https://doi.org/10.1007/978-3-663-19701-0ation of the market share captured by the new facilities and minimization of the lost market share of the old facilities caused by the entering of the new facilities in the market. The market share of each facility is estimated assuming that customers are served by the most attractive facility. A ne

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https://doi.org/10.1007/978-3-663-19701-0mization problems. Such problems are often solved using an algorithm in which a surrogate model approximates the true objective function and provides predicted objective values at a lower cost. As the surrogate model is based on evaluations of a small number of points, the quality of the initial sam

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