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Optimization Algorithms in Function of Binary Character Recognition

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2015
Authors
Čisar, Petar
Maravić-Cisar, Sanja
Subošić, Dane
Đikanović, Predrag
Đukanović, Slaviša
Article (Published version)
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Abstract
The paper gives an analysis of some optimization algorithms in computer sciences and their implementation in solving the problem of binary character recognition. The performance of these algorithms is analyzed using the Optimization Algorithm Toolkit, with emphasis on determining the impact of parameter values. It is shown that these types of algorithms have shown a significant sensitivity as far as the choosing of the parameters was concerned which would have an effect on how the algorithm functions. In this sense, the existence of optimal value was found, as well as extremely unacceptable values.
Keywords:
binary character recognition / Optimization Algorithm Toolkit / hill climbing / random search / clonal selection algorithm / parameter tuning
Source:
Acta polytechnica hungarica, 2015, 12, 7, 77-87
Publisher:
  • Budapest Tech, Budapest

ISSN: 1785-8860

WoS: 000366994500005

Scopus: 2-s2.0-84948740756
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URI
http://jakov.kpu.edu.rs/handle/123456789/660
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  • Radovi istraživača / Researchers' publications
Institution
Jakov

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