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Искусственный интеллект, интеллектуальные системы, нейронные сети
Global optimization via neural network approximation of inverse coordinate mappings with evolutionary parameter control
K. V. Pushkaryov Institute of Space and Information Technologies, Siberian Federal University
Аннотация:
A hybrid method of global optimization NNAICM-PSO is presented.
It uses neural network approximation of inverse mappings of objective function
values to coordinates combined with particle swarm optimization to find the
global minimum of a continuous objective function of multiple variables with
bound constraints. The objective function is viewed as a black box.
The method employs groups of moving probe points attracted by goals like
in particle swarm optimization. One of the possible goals is determined via
mapping of decreased objective function values to coordinates by modified Dual
Generalized Regression Neural Networks constructed from probe points.
The parameters of the search are controlled by an evolutionary algorithm.
The algorithm forms a population of evolving rules each containing a tuple of
parameter values. There are two measures of fitness: short-term (charm) and
long-term (merit). Charm is used to select rules for reproduction and application.
Merit determines survival of an individual. This two-fold system preserves
potentially useful individuals from extinction due to short-term situation changes.
Test problems of 100 variables were solved. The results indicate that
evolutionary control is better than random variation of parameters for NNAICM-PSO. With some problems, when rule bases are reused, error progressively
decreases in subsequent runs, which means that the method adapts to the
problem.
Ключевые слова и фразы:
global optimization, heuristic methods, evolutionary algorithms, neural
networks, parameter setting, parameter control, particle swarm optimization.
Поступила в редакцию: 27.04.2019 Подписана в печать : 26.06.2019
Образец цитирования:
K. V. Pushkaryov, “Global optimization via neural network approximation of inverse coordinate mappings with evolutionary parameter control”, Программные системы: теория и приложения, 10:2 (2019), 3–31
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/ps345 https://www.mathnet.ru/rus/ps/v10/i2/p3
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