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Publication

KIAM Preprint № 100, Moscow, 2019
Authors: Melnichuk A.V., Sivakova T.V., Sudakov V.A.
Solving optimization problems using multi-agent models
Abstract:
In the study multi-agent modeling approaches researched for solving optimization problems with constraints. The problem of building a network of interacting agents is considered. Each of the agents manages a certain set of variables and interacts with agents that have common constraints with it. Agents function as independent parallel processes and exchange messages in order to find the optimal value of the objective function. This approach has been successfully applied to the task of scheduling.
Keywords:
multi-agent modeling, constrained optimization, agent preference function, distributed systems
Publication language: russian,  страниц: 16
Research direction:
Mathematical modelling in actual problems of science and technics
Russian source text:
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