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Development of a Modified Self-Organizing Migration Optimization Algorithm (MSOMA)
Author(s) -
А. В. Пантелеев,
Vladislav Rakitianskii
Publication year - 2020
Publication title -
modelling and data analysis
Language(s) - English
Resource type - Journals
eISSN - 2311-9454
pISSN - 2219-3758
DOI - 10.17759/mda.2020100205
Subject(s) - computer science , algorithm , optimization algorithm , set (abstract data type) , mathematical optimization , mathematics , programming language
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.

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