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Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2022 The Editor(s) (if applicable) and The Author(

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Application of an Interval-Valued Intuitionistic Fuzzy Decision-Making Method in Outsourcing Using sideration of multiple criteria. The problem of this type belongs to the area of multicriteria decision-making. The imprecision in this problem may arise from the nature of the characteristics of the candidates for the service providers, which can be unavailable or indeterminate. It may also be deri
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Multicriteria Optimization of an Algorithm for Charging Energy Storage Elements,ement System. The system under analysis is made of several energy storage cells, charging sources attached to each individual cell (denoted as ACS) and one main charging source that is connected in parallel to the entire string of cells (denoted as MCS). Two algorithms are shortly described and eval
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Optimized Nano Grid Approach for Small Critical Loads,r feeding small-scale critical loads. On the basis of studies on renewable energy sources, photovoltaic converters are pointed to be most appropriate for small scale generation in urban conditions at specific geographical region. The loads of typical traffic lights show that they are relatively cons
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On a Full Monte Carlo Approach to Computational Finance,me basic definition for finance options are given. The theory for construction lattice rules with different generating vectors is presented. The paper presents a computational study on optimized stochastic technique based on lattice rules with an optimal generating vectors. A full Monte Carlo algori
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An Efficient Adaptive Monte Carlo Approach for Multidimensional Quantum Mechanics, kernel (Feynman .; Wigner .) evaluation is well known multidimensional problem in quantum mechanics and nowadays there is renewing interest in finding solutions to this problem. We propose some improvements over the standard adaptive approach for the multidimensional integrals representing the Wign
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Book 2022eter settings for controlling different processes, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations which describe real processes, solving engineering and financial problems..It shows how to develop alg
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