Solving optimization problems using multi-agent models | Zendy

A V Melnichuk | Zendy; Tatiana Vladimirovna Sivakova | Zendy; Vladimir Anatolievich Sudakov | Zendy

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Solving optimization problems using multi-agent models

Author(s) -

A V Melnichuk,

Tatiana Vladimirovna Sivakova,

Vladimir Anatolievich Sudakov

Publication year - 2019

Publication title -

keldysh institute preprints

Language(s) - English

Resource type - Journals

eISSN - 2071-2901

pISSN - 2071-2898

DOI - 10.20948/prepr-2019-100

Subject(s) - computer science , mathematical optimization , scheduling (production processes) , set (abstract data type) , function (biology) , task (project management) , optimization problem , distributed computing , mathematics , algorithm , engineering , systems engineering , evolutionary biology , biology , programming language

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.

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