Name of the project: Multi-scale intelligent neurodynamic systems for multi-dimensional optimisation in the field of machine learning and data processing
The scientific goal of the proposed project is the development of fundamentally new optimisation algorithms based on multi-scale collaborative neurodynamic systems and modern scientific approaches related to them. A special attention will be paid to the development of methods of solution of the following complex optimisation problems:
- Problems involving non-convex and discontinuous target functions and special limitations that guarantee smoothness and sparsity of the solutions;
- Problems involving integer and continuous variables produced from constrains on the allowable set of solutions;
- Problems of multi-criteria optimisation with multiple target functions in which it is necessary to efficiently find the solution suitable for all the target functions;
- Problems of multi-level optimisation in a hierarchical decision-making structure as well as multi-period optimisation with dynamic modelling in the context of a decreasing time horizon of planning that will be investigated from the point of view of dynamic optimisation.
Hosting organization
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Field of studies
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City
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Invited researcher
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Time span of the project
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Computer Synthesis of Chemical Compounds
G. A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences |
Computer science and information technologies |
Ivanovo |
Tetko Igor |
2021-2023 |
Laboratory of Non-linear and Microwave Photonics
Ulyanovsk State University |
Computer science and information technologies |
Ulyanovsk |
Taylor James Roy
United Kingdom |
2021-2023 |
Laboratory of Algorithms and Technologies for Networks Analysis
Higher School of Economics |
Computer science and information technologies |
Nizhniy Novgorod |
Panos Pardalos
USA, Greece |
2011-2015 |