Titlebook: Mathematical Optimization Theory and Operations Research: Recent Trends; 21st International C Yury Kochetov,Anton Eremeev,Anna Rettieva Con

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Alexander I. Smirnov,Vladimir D. Mazurovgnizing MCDM as a philosophy that inspired the development of theory, methodology, and practice of the art and science of MCDM. Except for a brief epilogue, the balance of the paper presents the following Ten Principles for the practice of MCDM: First Principle: MCDM as a harmonizing discipline in s

果仁

Rashid Yarullin,Igor Zabotingnizing MCDM as a philosophy that inspired the development of theory, methodology, and practice of the art and science of MCDM. Except for a brief epilogue, the balance of the paper presents the following Ten Principles for the practice of MCDM: First Principle: MCDM as a harmonizing discipline in s

SNEER

Igor Zabotin,Oksana Shulgina,Rashid Yarullingnizing MCDM as a philosophy that inspired the development of theory, methodology, and practice of the art and science of MCDM. Except for a brief epilogue, the balance of the paper presents the following Ten Principles for the practice of MCDM: First Principle: MCDM as a harmonizing discipline in s

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we carry out an unsupervised analysis of the collection of high-energy photons accumulated by the Large Area Telescope, the principal instrument on board the . spacecraft, over a period of around 7.5 years using a Bayesian mixture model. A fixed, though unknown, number of parametric components ident

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Recent Advances in?Sphere Packing ProblemsThis problem has important applications in science, technology and economics. First, we survey existing methods algorithms for solving the circle packing problems as well as their industrial applications. Second, we formulate a new optimal control problem based on sphere packing problem. We also ill

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Genetic Algorithm for?the?Variable Sized Vector Bin-Packing Problem with?the?Limited Number of?Binseach type is limited. Unlike the classic bin packing problem, this variant is not well represented in the literature, although it has a considerable practical value. For solving this problem, a genetic algorithm is proposed. It is based on a new representation scheme that uses first fit decreasing a