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- W2091548052 abstract "Genetic algorithms are applicable solution for network structure optimization. It lets us obtain good results within acceptable periods of time. In this paper we present several ways of using such genetic operators as mutation and crossover for solving network optimization problems. Some recommendations are given for which type of this operators is more suitable for given problems. Different types of coding chromosomes are considered for illustrating inequality of mutation and crossover application." @default.
- W2091548052 created "2016-06-24" @default.
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- W2091548052 date "2013-01-17" @default.
- W2091548052 modified "2023-09-23" @default.
- W2091548052 title "Network structure optimization" @default.
- W2091548052 cites W1996709898 @default.
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- W2091548052 doi "https://doi.org/10.1145/2448556.2448608" @default.
- W2091548052 hasPublicationYear "2013" @default.
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