Publications

Technical Reports

  1. D. Karaboga, AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION,TECHNICAL REPORT-TR06,Erciyes University, Engineering Faculty, Computer Engineering Department 2005. (PDF)
Survey
  1. D. Karaboga, B. Akay, A Survey: Algorithms Simulating Bee Swarm Intelligence, Artificial Intelligence Review, 31 (1), pp. 68-85, 2009. 

Dissertations

  1. Bahriye Basturk Akay, Supervisor: Dervis Karaboga, Performance Analysis of Artificial Bee Colony Algorithm on Numerical Functions, Erciyes University.
  2. Celal Öztürk, Supervisor: Dervis Karaboga, Training Neural Networks By Artificial Bee Colony Algorithm,  Erciyes University.
  3. Omar Cetina Domínguez, Supervisor: Efrén Mezura-Montes, An adaptation of the scout bee behavior in the Artificial Bee Colony algorithm to solve constrained optimization problems, Laboratorio Nacional de Informática Avanzada (LANIA).
  4. Emre Bendes, Supervisor: Coskun Ozkan, Application of Artificial Intelligence Techniques to Direct Linear Transformation (Direk Lineer Trasformasyon Yönteminde Yapay Zeka Tekniklerinin Uygulanması), Erciyes University.
  5. Li-ren Huang, Supervisor: Jiann-Horng Lin, Bee Swarm Optimization Algorithm with Chaotic Sequence and Psychology Model of Emotion, Graduate School of Information Management, 2009.
  6. Jian-Ren Chen, Protein Folding Simulation Using a Modified Artificial Bee Colony Algorithm, Department and Graduate Institute of Information and Communication Engineering,
  7. Selçuk Ökdem, Supervisor: Derviş Karaboğa, Routing in Wireless Sensor Networks using ABC Algorithm,   Erciyes University.
  8. Beyza Görkemli, Supervisor: Derviş Karaboğa, Artificial Bee Colony Algorithm for Dynamic Deployment of Wireless Sensor Networks,   Erciyes University.

Books

  1. R. Venkata Rao, Multi-objective optimization of multi-pass milling process parameters using artificial bee colony algorithm. Artificial Intelligence in Manufacturing, Nova Science Publishers, USA.

Journal Papers

  1. D. Karaboga, B. Basturk, A powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm, Journal of Global Optimization, Volume:39, Issue:3,pp:459-171, November 2007,ISSN:0925-5001 , doi: 10.1007/s10898-007-9149-x
  2. D. Karaboga, B. Basturk, On The Performance Of Artificial Bee Colony (ABC) Algorithm, Applied Soft Computing,Volume 8, Issue 1, January 2008, Pages 687-697.
  3. Dervis Karaboga (2010) Artificial bee colony algorithm. Scholarpedia, 5(3):6915
  4. R. Srinivasa Rao, S.V.L. Narasimham, M. Ramalingaraju, Optimization of Distribution Network Configuration for Loss Reduction Using Artificial Bee Colony Algorithm, International Journal of Electrical Power and Energy Systems Engineering (IJEPESE) , Volume 1, Number 2, Spring 2008.
  5. N. Karaboga, A new design method based on artificial bee colony algorithm for digital IIR filters, Journal of the Franklin Institute, 346 (4), 328-348, 2009.
  6. Alok Singh, An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem, Applied Soft Computing, Volume 9, Issue 2, pp. 625-631, 2009.
  7. D. Karaboga, B. Akay, A Comparative Study of Artificial Bee Colony Algorithm,  Applied Mathematics and Computation, 214, 108-132, 2009.
  8. D.Karaboga, C.Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19 (3), 279-292, 2009.
  9. Fei Kang, Junjie Li, Qing Xu, Structural inverse analysis by hybrid simplex artificial bee colony algorithms, Computers & Structures, 87 (13:14), 861-870, 2009.
  10. R V Rao, P J Pawar , Modelling and optimization of process parameters of wire electrical discharge machining, Journal Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Publisher Professional Engineering Publishing,ISSN 0954-4054, DOI 10.1243/09544054JEM1559, In Press.
  11. T. Kurban, E. Beşdok, A Comparison of RBF Neural Network Training Algorithms for Inertial Sensor Based Terrain Classification, Sensors, 9, 6312-6329,  2009.
  12. D. Jeya Mala, V. Mohan, ABC Tester - Artificial Bee Colony Based Software Test Suite Optimization Approach, International Journal of Software Engineering , 15-43, 2009.
  13. Sri Krishna Kumar, M. K. Tiwari, Radu F. Babiceanu, Minimisation of supply chain cost with embedded risk using computational intelligence approaches, International Journal of Production Research, 1-23, 2009.
  14. LI Duan-Ming, CHENG Ba-Yi, Artificial bee colony algorithm for scheduling a single batch processing machine with non-identical job sizes, Journal of Sichuan University (Natural Science Edition), DOI: 103969/j.issn.0490-6756.2009.46.5
  15. Kang, F., Li, J.-J., Xu, Q. , Hybrid simplex artificial bee colony algorithm and its application in material dynamic parameter back analysis of concrete dams, Shuili Xuebao/Journal of Hydraulic
    Engineering 40 (6), pp. 736-742, 2009.
  16. Samrat Sabat, Siba K Udgata and Ajith Abraham, Artificial Bee Colony Algorithm for Small Signal Model Parameter Extraction of MESFET, Engineering Applications of Artificial Intelligence, Elsevier Science, Netherlands, 2010.
  17. Omkar, S.N.; Senthilnath, J., Artificial Bee Colony for Classification of Acoustic Emission Signal, International Journal of Aerospace Innovations, Volume 1, Number 3, September 2009 , pp. 129-143(15), Multi-Science Publishing Co Ltd
  18. Chunfan Xu, and Haibin Duan, Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft,  Pattern Recognition Letters, accepted.
  19. D. Karaboga, C. Ozturk, A novel clustering approach: Artificial Bee Colony (ABC) algorithm, Applied Soft Computing, In Press.
  20. Venkata Rao, R., Pawar, P.J., Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms, Applied Soft Computing Journal 10 (2), pp. 445-456, 2010.
  21. Tsai, P.-W., Pan, J.-S., Liao, B.-Y., Chu, S.-C., Enhanced artificial bee colony optimization, International Journal of Innovative Computing, Information and Control 5 (12), pp. 5081-5092
  22. Marinakis, Y., Marinaki, M., Matsatsinis, N., A Hybrid discrete artificial bee colony-GRASP algorithm for clustering Computers and Industrial Engineering , art. no. 5223810, pp. 548-553 , 2009
  23. Hai-Bin Duan, Chun-Fanl Xu, Zhi-Hui Xing, A Hybrid Artificial Bee Colony optimization and Quantum Evolutionary Algorithm for Continuous Optimization Problems, International Journal of Neural Systems, Vol. 20, No. 1 (2010) 39–50, c World Scientific Publishing Company, DOI: 10.1142/S012906571000222X
  24. Bilal Alatas, Chaotic bee colony algorithms for global numerical optimization, Expert Systems with Applications, Accepted.
  25. Chunfang Xu, Haibin Duan , Fang Liu, Chaotic artificial bee colony approach to Uninhabited Combat Air Vehicle (UCAV) path planning, Aerospace Science and Technology, Accepted.


     

Conference Papers

  1. B. Basturk, Dervis Karaboga, An Artificial Bee Colony (ABC) Algorithm for Numeric function Optimization, IEEE Swarm Intelligence Symposium 2006, May 12-14, 2006, Indianapolis, Indiana, USA.
  2. 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: 4529/2007, pp: 789-798, Springer- Verlag, 2007, IFSA 2007.
  3. D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, Vol: 4617/2007, pp:318-319, Springer-Verlag, 2007, MDAI 2007.
  4. D. Karaboga, B. Basturk Akay, Artificial Bee Colony Algorithm on Training Artificial Neural Networks, Signal Processing and Communications Applications, 2007. SIU 2007, IEEE 15th. 11-13 June 2007, Page(s):1 - 4, doi: 10.1109/SIU.2007.4298679
  5. D. Karaboga, B. Akay, Effect of Region Scaling on the Initialization of Particle Swarm Optimization, Differential Evolution and Artificial Bee Colony Algorithms on Multimodal High Dimensional Problems, International Conference on Multivariate Statistical Modelling & High Dimensional Data Mining 19-23 June 2008, Erciyes University, Kayseri, TURKEY.
  6. D. Karaboga, C. Ozturk, B. Akay, Training Neural Networks with ABC Optimization Algorithm on Medical Pattern Classification, International Conference on Multivariate Statistical Modelling & High Dimensional Data Mining 19-23 June 2008, Erciyes University, Kayseri, TURKEY.
  7. D. Karaboga, B. Akay, Solving Large Scale Numerical Problems Using Artificial Bee Colony Algorithm, 6th INTERNATIONAL SYMPOSIUM on INTELLIGENT and MANUFACTURING SYSTEMS “FEATURES, STRATEGIES AND INNOVATION”, October 14-17, Sakarya, Turkey.
  8. C. Ozturk, D. Karaboga, , Classification by Neural Networks and Clustering with Artificial Bee Colony (ABC) Algorithm,6th INTERNATIONAL SYMPOSIUM on INTELLIGENT and MANUFACTURING SYSTEMS “FEATURES, STRATEGIES AND INNOVATION”, October 14-17, Sakarya, Turkey.
  9. C. Ozturk, D. Karaboga, Sınıflandırma Problemleri için Yapay Sinir Ağlarının Yapay Arı Koloni Algoritması (ABC) ile Eğitilmesi, BUMAT 2008, 15-17 Ekim 2008 , Eskişehir Osmangazi Üniversitesi , Kongre Merkezi ESKİŞEHİR, In Proc. of BUMAT2008, pp.713-720.
  10. E. Bendes, C. Ozkan, Direk Lineer Trasformasyon Yönteminde Yapay Zeka Tekniklerinin Uygulanması, Uzal CBS 2008, Kayseri, Turkiye.
  11. S.Hemamalini, Sishaj P Simon, Economic Load Dispatch with Valve-Point Effect Using Artificial Bee
    Colony Algorithm, XXXII National Systems Conference, Dec. 17-19, 2008, India.
  12. Haiyan Quan,Xinling Shi, On the Analysis of Performance of the Improved Artificial-Bee-Colony Algorithm, Fourth IEEE International Conference on Natural Computation, ICNC 2008, DOI 10.1109/ICNC.2008.211
  13. P.J. Pawar, R.V. Rao, R. Shankar, Multi-Objective Optimization of Electro-Chemical Machining Process Parameters Using Artificial Bee Colony (ABC) Algorithm, Advances in Mechanical Engineering (AME-2008), December 15-17, 2008, Surat, India.
  14. P.J. Pawar, R.V.Rao, J.P. Davim, Optimization of Process Parameters of Abrasive Flow Machining Process Using Artificial Bee Colony Algorithm, Advances in Mechanical Engineering (AME-2008), December 15-17, 2008, Surat, India.
  15. P.J. Pawar, R.V. Rao, J.P. Davim, Optimization of process parameters of milling process using Particle Swarm Optimization and Artificial Bee Colony algorithm, Advances in Mechanical Engineering (AME-2008), December 15-17, 2008, Surat, India.
  16. Pei-Wei Tsai, Jeng-Shyang Pan, Bin-Yih Liao and Shu-Chuan Chu, Interactive Artificial Bee Colony (IABC) Optimization, ISI2008, 12 Dec. 2008, Taiwan.
  17. S. L. Ho, Shiyou Yang, Qing H. Liu, An Artificial Bee Colony Algorithm for Numerical Optimizations of Inverse Electromagnetic Problems, The Thirteenth Biennial IEEE Conference on Electromagnetic Field Computation CEFC 2008, Athens, Greece, May 11 - 15, 2008.
  18. H.A.A. Bahamish, R. Abdullah, R. A. Salam, Protein Tertiary Structure Prediction Using Artificial Bee Colony Algorithm, Third Asia International Conference on Modelling & Simulation, pp.258-263, 2009.
  19. L. Bao, J-C. Zeng, Comparison and Analysis of the Selection Mechanism in the Artificial Bee Colony Algorithm, 2009 Ninth International Conference on Hybrid Intelligent Systems, 2009.
  20. J. Pacurib, G. M. Seno, J. P. Yusiong, Solving Sudoku Puzzles using Improved Artificial Bee Colony Algorithm, Fourth International Conference on Innovative Computing, Information and Control,December 7 - 9, 2009, Kaohsiung, Taiwan.
  21. Efrén Mezura-Montes and Omar Cetina-Domínguez, Exploring Promising Regions of the Search Space with the Scout Bee in the Artificial Bee Colony for Constrained Optimization, in Proceedings of the Artificial Neural Networks in Enginnering Conference (ANNIE'2009), (acepted) 2009.
  22. Jiann-Horng Lin, Meei-Ru Lin, Li-Ren Huang, A Bio-Inspired Search Algorithm for Conformational Energy Optimization of Peptides, Computational Intelligence (CI 2009), August 17 – 19, Honolulu, Hawaii, USA, 2009.
  23. D. Karaboga, B. Akay, Artificial Bee Colony (ABC), Harmony Search and Bees Algorithms on Numerical Optimization, IPROMS 2009 Innovative Production Machines and Systems Virtual Conference, Cardiff, UK.
  24. B. Akay, D. Karaboga, Parameter Tuning for the Artificial Bee Colony Algorithm, 1st International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems, 5-7 October, 2009 Wrocław (Poland)
  25. B. Akay, D. Karaboga, Solving Integer Programming Problems by Using Artificial Bee Colony Algorithm, XI. Conferences on Advances in Artificial Intelligence  by the Italian Association for Artificial Intelligence (AI*IA 2009), Reggio Emilia, December 9-12, 2009.
  26. Linh Nguyen Tung and Anh Nguyen Quynh, Application Artificial Bee Colony Algorithm (ABC) for Reconfiguring Distribution Network, The 2nd International Conference on Computer Modeling and Simulation, ICCMS 2010.
  27. Chidambaram Chidambaram and Heitor Silverio Lopes. A New Approach for Template Matching in Digital Images Using an Artificial Bee Colony Algorithm, VIII International Conference on Computer Information Systems and Industrial Management (CISIM, 2009), World Congress on Nature and Biologically Inspired Computing (NaBIC'09)
  28. Harikrishna Narasimhan. Parallel Artificial Bee Colony (PABC) Algorithm, VIII International Conference on Computer Information Systems and Industrial Management (CISIM, 2009), World Congress on Nature and Biologically Inspired Computing (NaBIC'09)
  29. Udgata, S.K., Sabat, S.L., Mini, S., Sensor deployment in irregular terrain using artificial bee colony algorithm, 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings , art. no. 5393734, pp. 1309-1314
  30. S.K., Krishnanand, K.R., Panigrahi, B.K., Rout, P.K., Application of artificial bee colony to economic load dispatch problem with ramp rate limits and prohibited operating zones, Nayak, 2009 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings , art. no. 5393751, pp. 1237-1242
  31. Urszula Markowska-Kaczmar, Krzysztof Ros`ol, Kohonen’s Neural Network and Evolutionary Algorithms in Searching for Financial Investment Strategy, Proceedings of the International Multiconference on Computer Science and Information Technology pp. 75–80
  32. Efrén Mezura-Montes and Omar Cetina-Domínguez, Exploring Promising Regions of the Search Space with the Scout Bee in the Artificial Bee Colony for Constrained Optimization, in Cihan H. Dagli et al. (editors) Proceedings of the Artificial Neural Networks in Enginnering Conference (ANNIE'2009), pages: 253--260, ASME Press Series, Intelligent Engineering Systems Through Artificial Neural Networks Vol. 19, November, 2009.




     

Online Papers

  1. FENG Qingxian, DING Haijun, Bee colony algorithm for the function optimization, Science Paper Online, http://www.paper.edu.cn/en/paper.php?serial_number=200808-448
  2. Li Fenglei, Ding Haijun, Fang Xing, The parameter improvement of Bee Colony Algorithm in TSP problem, Science Paper Online, http://www.paper.edu.cn/en/paper.php?serial_number=200711-226
 

Intelligent Systems Research Group, Department of Computer Engineering, Erciyes University, Turkiye