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On scalarization of vector optimization type problems
Konnov I.
is represented by a rather arbitrary set. An algorithm for weights choice for a priori unknown preference
On scalarization of vector optimization type problems
Konnov I.
is represented by a rather arbitrary set. An algorithm for weights choice for a priori unknown preference
Simulation environment for the choice of the decision making algorithm in multi-version real-time system
Ковалев, Игорь Владимирович, Сарамуд, Михаил Владимирович, Лосев, Василий Владимирович
in the system that is developed. Method: The article suggests weighted voting algorithms with a forgetting
To a choice of parameters of building machines and constructions metalwork vibrations active absorber
Grishin D.K.
The algorithm of vibrations active absorber control, providing high efficiency in cases when
Decision making based on relief algorithm
German, O. V., German, J. О., Nasr, S.
languages and technologies and so on. Each criteria has an unknown weight to be used in estimating
Адаптивная защита измерителей сложных сигналов от помех на основе признаков проекционного преобразования
Ходыко, Д. Л., Саломатин, С. Б., Hoduko, D. L., Salomatin, S. B.
at change of structure of a correlation matrix a jamming signal. The algorithm of a choice
Simple Essential Improvements to the ROUGE-W Algorithm
Znamenskij, Sergej V., Знаменский, Сергей В.
publications since 2004. The power of the algorithm depends on the weight function choice. An optimal
Genetic Algorithm for Automated X-Ray Diffraction Full-Profile Analysis of Electrolyte Composition on Aluminium Smelters
Zaloga, Alexandr, Akhmedova, Shakhnaz, Yakimov, Igor, Burakov, Sergey, Semenkin, Eugene, Dubinin, Petr, Piksina, Oksana, Andryushchenko, Eugene
this problem, an optimization method was put forward by the article based on an evolutionary choice of initial
Ensembles of clustering algorithms for problem of detection of homogeneous production batches of semiconductor devices
Rozhnov, I. P., Orlov, V. I., Kazakovtsev, L. A.
to constructing an ensemble of clustering algorithms based on co-occurrence matrices with weight coefficients
Self-configuring Nature Inspired Algorithms for Combinatorial Optimization Problems
Semenkina, Olga Ev., Popov, Eugene A., Semenkina, Olga Er., Семенкина, Ольга Е., Попов, Евгений А., Семенкина, Ольга Э.
In this work authors introduce and study the self-configuring Genetic Algorithm (GA) and the self

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