Solution of task on the minimum cost data flow based on bionic algorithm

The paper presents the solution of task on the minimum cost data flow in static and dynamic setting based on evolutionary algorithms. The distinctive feature of the algorithm is the use of joint evolution, choice of evolution models (use of micro-, macro- and metaevolutions), adjustment to external...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 1333; no. 3; pp. 32056 - 32061
Main Authors: Poluyan, A Yu, Purchina, O A, Fugarov, D D, Golovanov, A A, Smirnova, O V
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.10.2019
Subjects:
Bionics
Data transfer (computers)
Evolutionary algorithms
Minimum cost
Physics
Process parameters
Search methods
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:The paper presents the solution of task on the minimum cost data flow in static and dynamic setting based on evolutionary algorithms. The distinctive feature of the algorithm is the use of joint evolution, choice of evolution models (use of micro-, macro- and metaevolutions), adjustment to external environment, hierarchical management of genetic and evolutionary search, local search of solutions and application of all modified genetic operators based on evolutionary strategy and search methods. The paper illustrates the example of task on the recommended data flow and a method of adjusting the data transfer process to recommended parameters.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1333/3/032056