A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging behavior of a honey bee swarm. Clustering analysis, used in many disciplines and applications, is an important tool and a descriptive task seeking to identif...
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| Published in | Applied soft computing Vol. 11; no. 1; pp. 652 - 657 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
2011
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1568-4946 1872-9681 |
| DOI | 10.1016/j.asoc.2009.12.025 |
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| Abstract | Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging behavior of a honey bee swarm. Clustering analysis, used in many disciplines and applications, is an important tool and a descriptive task seeking to identify homogeneous groups of objects based on the values of their attributes. In this work, ABC is used for data clustering on benchmark problems and the performance of ABC algorithm is compared with Particle Swarm Optimization (PSO) algorithm and other nine classification techniques from the literature. Thirteen of typical test data sets from the UCI Machine Learning Repository are used to demonstrate the results of the techniques. The simulation results indicate that ABC algorithm can efficiently be used for multivariate data clustering. |
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| AbstractList | Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging behavior of a honey bee swarm. Clustering analysis, used in many disciplines and applications, is an important tool and a descriptive task seeking to identify homogeneous groups of objects based on the values of their attributes. In this work, ABC is used for data clustering on benchmark problems and the performance of ABC algorithm is compared with Particle Swarm Optimization (PSO) algorithm and other nine classification techniques from the literature. Thirteen of typical test data sets from the UCI Machine Learning Repository are used to demonstrate the results of the techniques. The simulation results indicate that ABC algorithm can efficiently be used for multivariate data clustering. |
| Author | Karaboga, Dervis Ozturk, Celal |
| Author_xml | – sequence: 1 givenname: Dervis surname: Karaboga fullname: Karaboga, Dervis email: karaboga@erciyes.edu.tr – sequence: 2 givenname: Celal surname: Ozturk fullname: Ozturk, Celal email: celal@erciyes.edu.tr |
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| Cites_doi | 10.1016/j.asoc.2005.09.004 10.1145/331499.331504 10.1109/72.238310 10.1016/j.csda.2004.12.004 10.1109/34.765656 10.1007/s12351-008-0004-8 10.1038/323533a0 10.1016/S0167-8655(97)00122-0 10.1007/s10898-007-9149-x 10.1142/S0218001405004083 10.1007/978-3-540-73729-2_30 10.1109/T-C.1971.223083 10.1007/978-3-540-72950-1_77 10.1016/j.aca.2003.12.032 10.1007/3-540-52062-7_86 10.1109/34.895974 10.1016/j.eswa.2005.11.014 10.1023/A:1007659514849 10.1023/A:1018054314350 |
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| References | Karaboga, Ozturk (bib32) 2009; 19 Rokach, Maimon (bib7) 2005 Basturk, Karaboga (bib28) 2006 Frigui, Krishnapuram (bib4) 1999; 21 Breiman (bib38) 1996; 24 Forgy (bib10) 1965; 21 Marinakis, Marinaki, Doumpos, Matsatsinis, Zopounidis (bib27) 2008; 8 Han, Kamber (bib3) 2001 De Falco, Della Cioppa, Tarantino (bib26) 2007; 7 Zahn (bib11) 1971; C-20 Cleary, Trigg (bib37) 1995 D. Karaboga, B. Basturk, Artificial Bee Colony (ABC) optimization algorithm for solving constrained optimization problems, LNCS: Advances in Soft Computing: Foundations of Fuzzy Logic and Soft Computing, vol. 4529, Springer–Verlag, 2007, pp. 789–798. D. Karaboga, An idea based on honey bee swarm for numerical optimization, Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005. Leung, Zhang, Xu (bib5) 2000; 22 Mitchell (bib12) 1997 Kohavi (bib40) 1996 Liao, Wen (bib14) 2007; 32 Falkenauer (bib17) 1998 Omran, Engelbrecht, Salman (bib24) 2005; 19 Hassoun (bib36) 1995 Paterlini, Krink (bib22) 2006; 50 Sarkar, Yegnanafayana, Khemani (bib2) 1997; 18 Jensen (bib34) 1996 Mirkin (bib8) 1996 Mao, Jain (bib13) 1995; 6 P. Compton, R. Jansen, Knowledge in context: a strategy for expert system maintenance, in: C.J., Barter, M.J., Brooks (Eds.), Proceedings of Artificial Intelligence, vol. 406, LNAI, Berlin, Springer–Verlag, Adelaide, Australia, 1988, pp. 292–306. Karaboga, Basturk (bib30) 2007; 39 Shelokar, Jayaraman, Kulkarni (bib21) 2004; 509 Jain, Dubes (bib1) 1998 Kao, Cheng (bib23) 2006 Tsang, Kwong (bib19) 2006; 34 MacQueen (bib9) 1967 Pal, Bezdek, Tsao (bib15) 1993; 4 Demiroz, Guvenir (bib42) 1997 D. Karaboga, B. Basturk, C. Ozturk, Artificial Bee Colony (ABC) optimization algorithm for training feed-forward neural networks, LNCS: Modeling Decisions for Artificial Intelligence, MDAI, vol. 4617, Springer–Verlag, 2007, pp. 318–329. Rumelhart, Hinton, Williams (bib35) 1986; 323 C.L. Blake, C.J. Merz, University of California at Irvine Repository of Machine Learning Databases, 1998, http://www.ics.uci.edu/~mlearn/MLRepository.html. Webb (bib39) 2000; 40 Jain, Murty, Flynn (bib6) 1999; 31 Kohonen (bib16) 1995 Paterlini, Minerva (bib18) 2003 Younsi, Wang (bib20) 2004 Demiroz (10.1016/j.asoc.2009.12.025_bib42) 1997 Marinakis (10.1016/j.asoc.2009.12.025_bib27) 2008; 8 Rokach (10.1016/j.asoc.2009.12.025_bib7) 2005 Younsi (10.1016/j.asoc.2009.12.025_bib20) 2004 Karaboga (10.1016/j.asoc.2009.12.025_bib30) 2007; 39 10.1016/j.asoc.2009.12.025_bib31 MacQueen (10.1016/j.asoc.2009.12.025_bib9) 1967 Mitchell (10.1016/j.asoc.2009.12.025_bib12) 1997 Liao (10.1016/j.asoc.2009.12.025_bib14) 2007; 32 Pal (10.1016/j.asoc.2009.12.025_bib15) 1993; 4 Paterlini (10.1016/j.asoc.2009.12.025_bib22) 2006; 50 Frigui (10.1016/j.asoc.2009.12.025_bib4) 1999; 21 Sarkar (10.1016/j.asoc.2009.12.025_bib2) 1997; 18 Jain (10.1016/j.asoc.2009.12.025_bib1) 1998 Mirkin (10.1016/j.asoc.2009.12.025_bib8) 1996 10.1016/j.asoc.2009.12.025_bib25 De Falco (10.1016/j.asoc.2009.12.025_bib26) 2007; 7 Paterlini (10.1016/j.asoc.2009.12.025_bib18) 2003 Jain (10.1016/j.asoc.2009.12.025_bib6) 1999; 31 Falkenauer (10.1016/j.asoc.2009.12.025_bib17) 1998 Mao (10.1016/j.asoc.2009.12.025_bib13) 1995; 6 10.1016/j.asoc.2009.12.025_bib29 Cleary (10.1016/j.asoc.2009.12.025_bib37) 1995 Omran (10.1016/j.asoc.2009.12.025_bib24) 2005; 19 Shelokar (10.1016/j.asoc.2009.12.025_bib21) 2004; 509 Karaboga (10.1016/j.asoc.2009.12.025_bib32) 2009; 19 Jensen (10.1016/j.asoc.2009.12.025_bib34) 1996 10.1016/j.asoc.2009.12.025_bib41 Zahn (10.1016/j.asoc.2009.12.025_bib11) 1971; C-20 Tsang (10.1016/j.asoc.2009.12.025_bib19) 2006; 34 Basturk (10.1016/j.asoc.2009.12.025_bib28) 2006 Leung (10.1016/j.asoc.2009.12.025_bib5) 2000; 22 Rumelhart (10.1016/j.asoc.2009.12.025_bib35) 1986; 323 Breiman (10.1016/j.asoc.2009.12.025_bib38) 1996; 24 Kohavi (10.1016/j.asoc.2009.12.025_bib40) 1996 Forgy (10.1016/j.asoc.2009.12.025_bib10) 1965; 21 10.1016/j.asoc.2009.12.025_bib33 Hassoun (10.1016/j.asoc.2009.12.025_bib36) 1995 Han (10.1016/j.asoc.2009.12.025_bib3) 2001 Kohonen (10.1016/j.asoc.2009.12.025_bib16) 1995 Webb (10.1016/j.asoc.2009.12.025_bib39) 2000; 40 Kao (10.1016/j.asoc.2009.12.025_bib23) 2006 |
| References_xml | – volume: 509 start-page: 187 year: 2004 end-page: 195 ident: bib21 article-title: An ant colony approach for clustering publication-title: Anal. Chim. Acta – volume: 19 start-page: 279 year: 2009 end-page: 292 ident: bib32 article-title: Neural networks training by Artificial Bee Colony Algorithm on pattern classification publication-title: Neural Netw. World – reference: D. Karaboga, B. Basturk, C. Ozturk, Artificial Bee Colony (ABC) optimization algorithm for training feed-forward neural networks, LNCS: Modeling Decisions for Artificial Intelligence, MDAI, vol. 4617, Springer–Verlag, 2007, pp. 318–329. – reference: P. Compton, R. Jansen, Knowledge in context: a strategy for expert system maintenance, in: C.J., Barter, M.J., Brooks (Eds.), Proceedings of Artificial Intelligence, vol. 406, LNAI, Berlin, Springer–Verlag, Adelaide, Australia, 1988, pp. 292–306. – volume: 31 start-page: 264 year: 1999 end-page: 323 ident: bib6 article-title: Data clustering: a review publication-title: ACM Comput. Surveys – year: 2001 ident: bib3 article-title: Data Mining: Concepts and Techniques – reference: D. Karaboga, B. Basturk, Artificial Bee Colony (ABC) optimization algorithm for solving constrained optimization problems, LNCS: Advances in Soft Computing: Foundations of Fuzzy Logic and Soft Computing, vol. 4529, Springer–Verlag, 2007, pp. 789–798. – volume: 39 start-page: 171 year: 2007 end-page: 459 ident: bib30 article-title: A powerful and efficient algorithm for numerical function optimization: Artificial Bee Colony (ABC) algorithm publication-title: J. Global Optim. – year: 1996 ident: bib34 article-title: An Introduction to Bayesian Networks – volume: 18 start-page: 975 year: 1997 end-page: 986 ident: bib2 article-title: A clustering algorithm using an evolutionary programming-based approach publication-title: Pattern Recogn. Lett. – volume: 6 start-page: 296 year: 1995 end-page: 317 ident: bib13 article-title: Artificial neural networks for feature extraction and multivariate data projection publication-title: IEEE Trans. Neural Netw. – volume: 22 start-page: 1396 year: 2000 end-page: 1410 ident: bib5 article-title: Clustering by scale-space filtering publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – start-page: 321 year: 2005 end-page: 352 ident: bib7 article-title: Clustering methods publication-title: Data Mining and Knowledge Discovery Handbook – year: 1997 ident: bib42 article-title: Classification by voting feature intervals publication-title: Proceedings of the Seventh European Conference on Machine Learning – start-page: 340 year: 2006 end-page: 347 ident: bib23 article-title: An ACO-based clustering algorithm publication-title: ANTS, LNCS 4150 – volume: 8 start-page: 33 year: 2008 end-page: 46 ident: bib27 article-title: A hybrid stochastic genetic—GRASP algorithm for clustering analysis publication-title: Oper. Res. Int. J. (ORIJ) – year: 2006 ident: bib28 article-title: An Artificial Bee Colony (ABC) algorithm for numeric function optimization publication-title: IEEE Swarm Intelligence Symposium – start-page: 167 year: 2003 end-page: 178 ident: bib18 article-title: Evolutionary approaches for cluster analysis publication-title: Soft Computing Applications – start-page: 58 year: 2004 end-page: 64 ident: bib20 article-title: A new artificial immune system algorithm for clustering publication-title: IDEAL 2004, LNCS 3177 – volume: 50 start-page: 1220 year: 2006 end-page: 1247 ident: bib22 article-title: Differential evolution and particle swarm optimisation in partitional clustering publication-title: Comput. Stat. Data Anal. – volume: 24 start-page: 123 year: 1996 end-page: 140 ident: bib38 article-title: Bagging predictors publication-title: Mach. Learn. – volume: 4 start-page: 549 year: 1993 end-page: 557 ident: bib15 article-title: Generalized clustering networks and Kohonen’s self-organizing scheme publication-title: IEEE Trans. Neural Netw. – year: 1995 ident: bib36 article-title: Fundamentals of Artificial Neural Networks – reference: D. Karaboga, An idea based on honey bee swarm for numerical optimization, Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005. – year: 1998 ident: bib17 article-title: Genetic Algorithms and Grouping Problems – volume: 323 start-page: 533 year: 1986 end-page: 536 ident: bib35 article-title: Learning representation by back-propagation errors publication-title: Nature – year: 1998 ident: bib1 article-title: Algorithms for Clustering Data – volume: 34 start-page: 101 year: 2006 end-page: 123 ident: bib19 article-title: Ant colony clustering and feature extraction for anomaly intrusion detection publication-title: Stud. Comput. Intell. – year: 1967 ident: bib9 article-title: Some methods for classification and analysis of multivariate observations publication-title: Proc. 5th Berkeley Symp. Math. Stat. Probability – volume: 21 start-page: 450 year: 1999 end-page: 465 ident: bib4 article-title: A robust competitive clustering algorithm with applications in computer vision publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – year: 1996 ident: bib8 article-title: Mathematical Classification and Clustering – year: 1997 ident: bib12 article-title: Machine Learning – year: 1995 ident: bib16 article-title: Self-Organizing Maps, vol. 30 – volume: 21 start-page: 768 year: 1965 end-page: 769 ident: bib10 article-title: Cluster analysis of multivariate data: efficiency versus interpretability of classification publication-title: Biometrics – year: 1995 ident: bib37 article-title: K*: an instance-based learner using an entropic distance measure publication-title: Proceedings of the 12th International Conference on Machine Learning – start-page: 202 year: 1996 end-page: 207 ident: bib40 article-title: Scaling up the accuracy of naive-Bayes classifiers: a decision tree hybrid publication-title: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining – volume: C-20 start-page: 68 year: 1971 end-page: 86 ident: bib11 article-title: Graph-theoretical methods for detecting and describing gestalt clusters publication-title: IEEE Trans. Comput. – volume: 32 start-page: 1 year: 2007 end-page: 11 ident: bib14 article-title: Artificial neural networks classification and clustering of methodologies and applications—literature analysis from 1995 to 2005 publication-title: Expert Sys. Appl. – volume: 7 start-page: 652 year: 2007 end-page: 658 ident: bib26 article-title: Facing classification problems with Particle Swarm Optimization publication-title: Appl. Soft Comput. – volume: 19 start-page: 297 year: 2005 end-page: 322 ident: bib24 article-title: Particle swarm optimization method for image clustering publication-title: Int. J. Pattern Recogn. Artif. Intell. – reference: C.L. Blake, C.J. Merz, University of California at Irvine Repository of Machine Learning Databases, 1998, http://www.ics.uci.edu/~mlearn/MLRepository.html. – volume: 40 start-page: 159 year: 2000 end-page: 196 ident: bib39 article-title: Multiboosting: a technique for combining boosting and wagging publication-title: Mach. Learn. – volume: 7 start-page: 652 issue: 3 year: 2007 ident: 10.1016/j.asoc.2009.12.025_bib26 article-title: Facing classification problems with Particle Swarm Optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2005.09.004 – volume: 31 start-page: 264 issue: 3 year: 1999 ident: 10.1016/j.asoc.2009.12.025_bib6 article-title: Data clustering: a review publication-title: ACM Comput. Surveys doi: 10.1145/331499.331504 – ident: 10.1016/j.asoc.2009.12.025_bib25 – volume: 21 start-page: 768 issue: 3 year: 1965 ident: 10.1016/j.asoc.2009.12.025_bib10 article-title: Cluster analysis of multivariate data: efficiency versus interpretability of classification publication-title: Biometrics – volume: 4 start-page: 549 issue: July (4) year: 1993 ident: 10.1016/j.asoc.2009.12.025_bib15 article-title: Generalized clustering networks and Kohonen’s self-organizing scheme publication-title: IEEE Trans. Neural Netw. doi: 10.1109/72.238310 – volume: 50 start-page: 1220 year: 2006 ident: 10.1016/j.asoc.2009.12.025_bib22 article-title: Differential evolution and particle swarm optimisation in partitional clustering publication-title: Comput. Stat. Data Anal. doi: 10.1016/j.csda.2004.12.004 – year: 2006 ident: 10.1016/j.asoc.2009.12.025_bib28 article-title: An Artificial Bee Colony (ABC) algorithm for numeric function optimization – volume: 21 start-page: 450 issue: May (5) year: 1999 ident: 10.1016/j.asoc.2009.12.025_bib4 article-title: A robust competitive clustering algorithm with applications in computer vision publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.765656 – volume: 8 start-page: 33 issue: 1 year: 2008 ident: 10.1016/j.asoc.2009.12.025_bib27 article-title: A hybrid stochastic genetic—GRASP algorithm for clustering analysis publication-title: Oper. Res. Int. J. (ORIJ) doi: 10.1007/s12351-008-0004-8 – volume: 323 start-page: 533 year: 1986 ident: 10.1016/j.asoc.2009.12.025_bib35 article-title: Learning representation by back-propagation errors publication-title: Nature doi: 10.1038/323533a0 – volume: 18 start-page: 975 year: 1997 ident: 10.1016/j.asoc.2009.12.025_bib2 article-title: A clustering algorithm using an evolutionary programming-based approach publication-title: Pattern Recogn. Lett. doi: 10.1016/S0167-8655(97)00122-0 – year: 1998 ident: 10.1016/j.asoc.2009.12.025_bib17 – year: 1996 ident: 10.1016/j.asoc.2009.12.025_bib34 – volume: 39 start-page: 171 issue: 3 year: 2007 ident: 10.1016/j.asoc.2009.12.025_bib30 article-title: A powerful and efficient algorithm for numerical function optimization: Artificial Bee Colony (ABC) algorithm publication-title: J. Global Optim. doi: 10.1007/s10898-007-9149-x – ident: 10.1016/j.asoc.2009.12.025_bib33 – volume: 6 start-page: 296 issue: March (2) year: 1995 ident: 10.1016/j.asoc.2009.12.025_bib13 article-title: Artificial neural networks for feature extraction and multivariate data projection publication-title: IEEE Trans. Neural Netw. – volume: 19 start-page: 297 issue: 3 year: 2005 ident: 10.1016/j.asoc.2009.12.025_bib24 article-title: Particle swarm optimization method for image clustering publication-title: Int. J. Pattern Recogn. Artif. Intell. doi: 10.1142/S0218001405004083 – ident: 10.1016/j.asoc.2009.12.025_bib31 doi: 10.1007/978-3-540-73729-2_30 – year: 1996 ident: 10.1016/j.asoc.2009.12.025_bib8 – volume: C-20 start-page: 68 issue: January (1) year: 1971 ident: 10.1016/j.asoc.2009.12.025_bib11 article-title: Graph-theoretical methods for detecting and describing gestalt clusters publication-title: IEEE Trans. Comput. doi: 10.1109/T-C.1971.223083 – start-page: 321 year: 2005 ident: 10.1016/j.asoc.2009.12.025_bib7 article-title: Clustering methods – year: 1995 ident: 10.1016/j.asoc.2009.12.025_bib16 – ident: 10.1016/j.asoc.2009.12.025_bib29 doi: 10.1007/978-3-540-72950-1_77 – year: 1998 ident: 10.1016/j.asoc.2009.12.025_bib1 – start-page: 58 year: 2004 ident: 10.1016/j.asoc.2009.12.025_bib20 article-title: A new artificial immune system algorithm for clustering – volume: 19 start-page: 279 issue: 3 year: 2009 ident: 10.1016/j.asoc.2009.12.025_bib32 article-title: Neural networks training by Artificial Bee Colony Algorithm on pattern classification publication-title: Neural Netw. World – volume: 509 start-page: 187 year: 2004 ident: 10.1016/j.asoc.2009.12.025_bib21 article-title: An ant colony approach for clustering publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2003.12.032 – start-page: 340 year: 2006 ident: 10.1016/j.asoc.2009.12.025_bib23 article-title: An ACO-based clustering algorithm – ident: 10.1016/j.asoc.2009.12.025_bib41 doi: 10.1007/3-540-52062-7_86 – year: 2001 ident: 10.1016/j.asoc.2009.12.025_bib3 – start-page: 202 year: 1996 ident: 10.1016/j.asoc.2009.12.025_bib40 article-title: Scaling up the accuracy of naive-Bayes classifiers: a decision tree hybrid – year: 1997 ident: 10.1016/j.asoc.2009.12.025_bib12 – volume: 22 start-page: 1396 issue: December (12) year: 2000 ident: 10.1016/j.asoc.2009.12.025_bib5 article-title: Clustering by scale-space filtering publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.895974 – volume: 32 start-page: 1 year: 2007 ident: 10.1016/j.asoc.2009.12.025_bib14 article-title: Artificial neural networks classification and clustering of methodologies and applications—literature analysis from 1995 to 2005 publication-title: Expert Sys. Appl. doi: 10.1016/j.eswa.2005.11.014 – year: 1995 ident: 10.1016/j.asoc.2009.12.025_bib37 article-title: K*: an instance-based learner using an entropic distance measure – volume: 40 start-page: 159 issue: 2 year: 2000 ident: 10.1016/j.asoc.2009.12.025_bib39 article-title: Multiboosting: a technique for combining boosting and wagging publication-title: Mach. Learn. doi: 10.1023/A:1007659514849 – volume: 24 start-page: 123 issue: 2 year: 1996 ident: 10.1016/j.asoc.2009.12.025_bib38 article-title: Bagging predictors publication-title: Mach. Learn. doi: 10.1023/A:1018054314350 – year: 1997 ident: 10.1016/j.asoc.2009.12.025_bib42 article-title: Classification by voting feature intervals – year: 1967 ident: 10.1016/j.asoc.2009.12.025_bib9 article-title: Some methods for classification and analysis of multivariate observations – start-page: 167 year: 2003 ident: 10.1016/j.asoc.2009.12.025_bib18 article-title: Evolutionary approaches for cluster analysis – volume: 34 start-page: 101 year: 2006 ident: 10.1016/j.asoc.2009.12.025_bib19 article-title: Ant colony clustering and feature extraction for anomaly intrusion detection publication-title: Stud. Comput. Intell. – year: 1995 ident: 10.1016/j.asoc.2009.12.025_bib36 |
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