About the influence of features of fitness-functions on the convergence of the genetic algorithm
Keyword(s):
The adaptive capabilities of a parallel version of a multipopulation genetic algorithm are considered depending on the characteristics of certain classes of fitness-functions. Ways are proposed to increase the rate of convergence to the optimal solution based on effective control of algorithm parameters and strategies for the exchange of chromosome-solutions between populations. The results of computer experiments with the optimization of fitness-functions with various ratios of insignificant and significant factors are presented. The dependence of the convergence rate of the algorithm in the presence of a random effect on the values of fitness-functions is studied.
2019 ◽
Vol 13
(4)
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pp. 416-423
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2021 ◽
Vol 16
(5)
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pp. 1186-1216
2018 ◽
Vol 111
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pp. 354-363
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Keyword(s):
2013 ◽
Vol 22
(08)
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pp. 1350067
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2009 ◽
Vol 419-420
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pp. 633-636
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