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Previous issue (2020. Vol. 10, no. 2) Modelling and Data Analysis Publisher: Moscow State University of Psychology and Education ISSN (printed version): 2219-3758 ISSN (online): 2311-9454 DOI: https://doi.org/10.17759/mda License: CC BY-NC 4.0 Started in 2011 Published 4 times a year Free of fees RU In Russian |
Modelling and Data Analysis Development of a Modified Self-Organizing Migration Optimization Algorithm (MSOMA) 34Panteleev A.V. Rakitianskii V.M. Abstract
The modified self-organizing migration optimization algorithm (MSOMA) based on a self-organizing migration algorithm (SOMA) is suggested. An algorithm for solving the problem of finding the global conditional extremum of the objective function on a given set is developed. Examples illustrating the application of the algorithm and created software are given.
Keywords: global optimization algorithm, migration cycle, population, individual, benchmark problems Column: Optimization Methods References
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