IBitABC: Lokal Arama ile Genişletilmiş İkili Yapay Ar Kolonisi Algoritmasi

Zeynep Banu Özger; Bülent Bolat; Banu Diri

doi:10.1109/UBMK.2017.8093589

IBitABC: Lokal Arama ile Genişletilmiş İkili Yapay Ar Kolonisi Algoritmasi

Translated title of the contribution: IBitABC: Improved binary artificial bee colony algorithm with local search

Zeynep Banu Özger, Bülent Bolat, Banu Diri

Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Feature selection is a process of selecting a subset of features that is highly distinguishable from the data set to obtain better or at least equivalent success rates. Artificial Bee Colony (ABC) Algorithm is a intelligence algorithm that model the behavior of honey bees in the nature of food seeking behavior and has been developed to produce a solution at continuous space. BitABC is a bitwise operator based binary ABC algorithm that can produce fast results in binary space. In this study, BitABC was improved to increase the local search capacity and adapted to the feature selection problem to measure the success of the proposed method. The results obtained using 10 data sets from UCI Machine Learning Repository indicate the success of the proposed method.

Translated title of the contribution	IBitABC: Improved binary artificial bee colony algorithm with local search
Original language	Turkish
Title of host publication	2nd International Conference on Computer Science and Engineering, UBMK 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	165-170
Number of pages	6
ISBN (Electronic)	9781538609309
DOIs	https://doi.org/10.1109/UBMK.2017.8093589
Publication status	Published - 31 Oct 2017
Externally published	Yes
Event	2nd International Conference on Computer Science and Engineering, UBMK 2017 - Antalya, Turkey Duration: 5 Oct 2017 → 8 Oct 2017

Publication series

Name	2nd International Conference on Computer Science and Engineering, UBMK 2017

Conference

Conference	2nd International Conference on Computer Science and Engineering, UBMK 2017
Country/Territory	Turkey
City	Antalya
Period	5/10/17 → 8/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Access to Document

10.1109/UBMK.2017.8093589

Cite this

Özger, Z. B., Bolat, B., & Diri, B. (2017). IBitABC: Lokal Arama ile Genişletilmiş İkili Yapay Ar Kolonisi Algoritmasi. In 2nd International Conference on Computer Science and Engineering, UBMK 2017 (pp. 165-170). Article 8093589 (2nd International Conference on Computer Science and Engineering, UBMK 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK.2017.8093589

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abstract = "Feature selection is a process of selecting a subset of features that is highly distinguishable from the data set to obtain better or at least equivalent success rates. Artificial Bee Colony (ABC) Algorithm is a intelligence algorithm that model the behavior of honey bees in the nature of food seeking behavior and has been developed to produce a solution at continuous space. BitABC is a bitwise operator based binary ABC algorithm that can produce fast results in binary space. In this study, BitABC was improved to increase the local search capacity and adapted to the feature selection problem to measure the success of the proposed method. The results obtained using 10 data sets from UCI Machine Learning Repository indicate the success of the proposed method.",

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note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Computer Science and Engineering, UBMK 2017 ; Conference date: 05-10-2017 Through 08-10-2017",

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Özger, ZB, Bolat, B & Diri, B 2017, IBitABC: Lokal Arama ile Genişletilmiş İkili Yapay Ar Kolonisi Algoritmasi. in 2nd International Conference on Computer Science and Engineering, UBMK 2017., 8093589, 2nd International Conference on Computer Science and Engineering, UBMK 2017, Institute of Electrical and Electronics Engineers Inc., pp. 165-170, 2nd International Conference on Computer Science and Engineering, UBMK 2017, Antalya, Turkey, 5/10/17. https://doi.org/10.1109/UBMK.2017.8093589

IBitABC: Lokal Arama ile Genişletilmiş İkili Yapay Ar Kolonisi Algoritmasi. / Özger, Zeynep Banu; Bolat, Bülent; Diri, Banu.
2nd International Conference on Computer Science and Engineering, UBMK 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 165-170 8093589 (2nd International Conference on Computer Science and Engineering, UBMK 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - IBitABC

T2 - 2nd International Conference on Computer Science and Engineering, UBMK 2017

AU - Özger, Zeynep Banu

AU - Bolat, Bülent

AU - Diri, Banu

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Feature selection is a process of selecting a subset of features that is highly distinguishable from the data set to obtain better or at least equivalent success rates. Artificial Bee Colony (ABC) Algorithm is a intelligence algorithm that model the behavior of honey bees in the nature of food seeking behavior and has been developed to produce a solution at continuous space. BitABC is a bitwise operator based binary ABC algorithm that can produce fast results in binary space. In this study, BitABC was improved to increase the local search capacity and adapted to the feature selection problem to measure the success of the proposed method. The results obtained using 10 data sets from UCI Machine Learning Repository indicate the success of the proposed method.

AB - Feature selection is a process of selecting a subset of features that is highly distinguishable from the data set to obtain better or at least equivalent success rates. Artificial Bee Colony (ABC) Algorithm is a intelligence algorithm that model the behavior of honey bees in the nature of food seeking behavior and has been developed to produce a solution at continuous space. BitABC is a bitwise operator based binary ABC algorithm that can produce fast results in binary space. In this study, BitABC was improved to increase the local search capacity and adapted to the feature selection problem to measure the success of the proposed method. The results obtained using 10 data sets from UCI Machine Learning Repository indicate the success of the proposed method.

KW - Artificial Bee Colony

KW - Classification

KW - Feature selection

KW - Optimization

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U2 - 10.1109/UBMK.2017.8093589

DO - 10.1109/UBMK.2017.8093589

M3 - Konferans katkısı

AN - SCOPUS:85040635856

T3 - 2nd International Conference on Computer Science and Engineering, UBMK 2017

SP - 165

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BT - 2nd International Conference on Computer Science and Engineering, UBMK 2017

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 5 October 2017 through 8 October 2017

ER -

Özger ZB, Bolat B, Diri B. IBitABC: Lokal Arama ile Genişletilmiş İkili Yapay Ar Kolonisi Algoritmasi. In 2nd International Conference on Computer Science and Engineering, UBMK 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 165-170. 8093589. (2nd International Conference on Computer Science and Engineering, UBMK 2017). doi: 10.1109/UBMK.2017.8093589

IBitABC: Lokal Arama ile Genişletilmiş İkili Yapay Ar Kolonisi Algoritmasi

Abstract

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