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Volumn 3, Issue 3, 2011, Pages 149-162

Performance evaluation of artificial bee colony optimization and new selection schemes

Author keywords

Artificial bee colony optimization; Function optimization; Swarm intelligence

Indexed keywords

ARTIFICIAL BEE COLONIES; BENCHMARK FUNCTIONS; EMPIRICAL TEST; FORAGING BEHAVIORS; FUNCTION OPTIMIZATION; META HEURISTICS; OPTIMIZATION GOALS; PARAMETER VALUES; PERFORMANCE EVALUATION; POPULATION-BASED ALGORITHM; POTENTIAL PROBLEMS; SEARCH SPACES; SELECTION SCHEME; STANDARD VALUES; SWARM INTELLIGENCE;

EID: 80052851863     PISSN: 18659284     EISSN: 18659292     Source Type: Journal    
DOI: 10.1007/s12293-011-0065-8     Document Type: Article
Times cited : (93)

References (44)
  • 2
    • 70450158382 scopus 로고    scopus 로고
    • Parameter tuning for the artificial bee colony algorithm
    • N. Nguyen, R. Kowalczyk, and S. M. Chen (Eds.), Germany: Springer, Berlin/Heidelberg
    • Akay B, Karaboga D (2009) Parameter tuning for the artificial bee colony algorithm. In: Nguyen N, Kowalczyk R, Chen SM (eds) Proceedings of the ICCCI 2009, LNCS, vol 5796. Springer, Berlin/Heidelberg, Germany, pp 608-619.
    • (2009) Proceedings of the ICCCI 2009, LNCS , vol.5796 , pp. 608-619
    • Akay, B.1    Karaboga, D.2
  • 4
    • 67651138854 scopus 로고    scopus 로고
    • Artificial bee colony algorithm and its application to generalized assignment problem
    • F. T. S. Chan and M. K. Tiwari (Eds.), Vienna, Austria: Itech Education and Publishing
    • Baykasoglu A, Oezbakr L, Tapkan P (2007) Artificial bee colony algorithm and its application to generalized assignment problem. In: Chan FTS, Tiwari MK (eds) Swarm intelligence: focus on ant and particle swarm optimization. Itech Education and Publishing, Vienna, Austria, pp 113-144.
    • (2007) Swarm Intelligence: Focus on Ant and Particle Swarm Optimization , pp. 113-144
    • Baykasoglu, A.1    Oezbakr, L.2    Tapkan, P.3
  • 6
    • 0035154385 scopus 로고    scopus 로고
    • Exploration and exploitation of food sources by social insect colonies: a revision of the scout-recruit concept
    • Biesmeijer JC, de Vries H (2001) Exploration and exploitation of food sources by social insect colonies: a revision of the scout-recruit concept. Behav Ecol Sociobiol 49(2): 89-99.
    • (2001) Behav Ecol Sociobiol , vol.49 , Issue.2 , pp. 89-99
    • Biesmeijer, J.C.1    de Vries, H.2
  • 10
    • 80052832606 scopus 로고    scopus 로고
    • Honeybee optimisation an overview and a new bee inspired optimisation scheme
    • L. M. Hiot, Y. S. Ong, B. K. Panigrahi, Y. Shi, and M. H. Lim (Eds.), Germany: Springer, Berlin/Heidelberg
    • Diwold K, Beekman M, Middendorf M (2010) Honeybee optimisation an overview and a new bee inspired optimisation scheme. In: Hiot LM, Ong YS, Panigrahi BK, Shi Y, Lim MH (eds) Handbook of swarm intelligence, adaptation, learning, and optimization, vol 8. Springer, Berlin/Heidelberg, Germany, pp 295-327.
    • (2010) Handbook of Swarm Intelligence, Adaptation, Learning, and Optimization , vol.8 , pp. 295-327
    • Diwold, K.1    Beekman, M.2    Middendorf, M.3
  • 11
  • 12
    • 33645720059 scopus 로고    scopus 로고
    • Benefits of recruitment in honey bees: effects of ecology and colony size in an individual-based model
    • Dornhaus A, Kluegl F, Oechslein C, Puppe F, Chittka L (2006) Benefits of recruitment in honey bees: effects of ecology and colony size in an individual-based model. Behav Ecol 17(3): 333-344.
    • (2006) Behav Ecol , vol.17 , Issue.3 , pp. 333-344
    • Dornhaus, A.1    Kluegl, F.2    Oechslein, C.3    Puppe, F.4    Chittka, L.5
  • 14
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6: 65-70.
    • (1979) Scand J Stat , vol.6 , pp. 65-70
    • Holm, S.1
  • 15
    • 31144459090 scopus 로고    scopus 로고
    • A hybrid boundary condition for robust particle swarm optimization
    • Huang T, Mohan AS (2005) A hybrid boundary condition for robust particle swarm optimization. IEEE Antennas Wirel Propag Lett 4: 112-118.
    • (2005) IEEE Antennas Wirel Propag Lett , vol.4 , pp. 112-118
    • Huang, T.1    Mohan, A.S.2
  • 16
    • 29144504356 scopus 로고    scopus 로고
    • A hierarchical particle swarm optimizer and its adaptive variant
    • Janson S, Middendorf M (2005) A hierarchical particle swarm optimizer and its adaptive variant. IEEE Trans Syst Man Cybern-Part B 35(6): 1272-1282.
    • (2005) IEEE Trans Syst Man Cybern-Part B , vol.35 , Issue.6 , pp. 1272-1282
    • Janson, S.1    Middendorf, M.2
  • 18
    • 64149103429 scopus 로고    scopus 로고
    • A new design method based on artificial bee colony algorithm for digital IIR filters
    • Karaboga D (2009) A new design method based on artificial bee colony algorithm for digital IIR filters. J Franklin Inst 346(4): 328-348.
    • (2009) J Franklin Inst , vol.346 , Issue.4 , pp. 328-348
    • Karaboga, D.1
  • 19
    • 50249103358 scopus 로고    scopus 로고
    • Artificial bee colony (ABC) algorithm on training artificial neural networks
    • IEEE Press, Piscataway, NJ
    • Karaboga D, Akay B (2007) Artificial bee colony (ABC) algorithm on training artificial neural networks. In: IEEE 15th Signal Processing and Communications Applications. IEEE Press, Piscataway, NJ, pp 1-4.
    • (2007) IEEE 15th Signal Processing and Communications Applications , pp. 1-4
    • Karaboga, D.1    Akay, B.2
  • 20
    • 67349273050 scopus 로고    scopus 로고
    • A comparative study of artificial bee colony algorithm
    • Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(1): 108-132.
    • (2009) Appl Math Comput , vol.214 , Issue.1 , pp. 108-132
    • Karaboga, D.1    Akay, B.2
  • 21
    • 75149134664 scopus 로고    scopus 로고
    • A survey: algorithms simulating bee swarm intelligence
    • Karaboga D, Akay B (2009) A survey: algorithms simulating bee swarm intelligence. Artif Intell Rev 31: 61-85.
    • (2009) Artif Intell Rev , vol.31 , pp. 61-85
    • Karaboga, D.1    Akay, B.2
  • 22
    • 37249084064 scopus 로고    scopus 로고
    • Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems
    • P. Melin, O. Castillo, L. Aguilar, J. Kacprzyk, and W. Pedrycz (Eds.), Germany: Springer, Berlin/Heidelberg
    • Karaboga D, Basturk B (2007) Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. In: Melin P, Castillo O, Aguilar L, Kacprzyk J, Pedrycz W (eds) Foundations of fuzzy logic and soft computing, LNCS, vol 4529. Springer, Berlin/Heidelberg, Germany, pp 789-798.
    • (2007) Foundations of Fuzzy Logic and Soft Computing, LNCS , vol.4529 , pp. 789-798
    • Karaboga, D.1    Basturk, B.2
  • 23
    • 35148821762 scopus 로고    scopus 로고
    • A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
    • Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 39(3): 459-471.
    • (2007) J Glob Optim , vol.39 , Issue.3 , pp. 459-471
    • Karaboga, D.1    Basturk, B.2
  • 24
    • 34548479029 scopus 로고    scopus 로고
    • On the performance of artificial bee colony (ABC) algorithm
    • Karaboga D, Basturk B (2008) On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8: 687-697.
    • (2008) Appl Soft Comput , vol.8 , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 25
    • 37249054534 scopus 로고    scopus 로고
    • Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks
    • V. Torra, Y. Narukawa, and Y. Yoshida (Eds.), Germany: Springer, Berlin/ Heidelberg
    • Karaboga D, Akay B, Ozturk C (2007) Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks. In: Torra V, Narukawa Y, Yoshida Y (eds) Modeling decisions for artificial intelligence, LNCS, vol 4617. Springer, Berlin/ Heidelberg, Germany, pp 318-329.
    • (2007) Modeling Decisions for Artificial Intelligence, LNCS , vol.4617 , pp. 318-329
    • Karaboga, D.1    Akay, B.2    Ozturk, C.3
  • 26
    • 22944450908 scopus 로고    scopus 로고
    • Imitation of bee reproduction as a crossover operator in genetic algorithms
    • C. Zhang, H. W. Guesgen, and W. K. Yeap (Eds.), Germany: Springer, Berlin/Heidelberg
    • Karci A (2004) Imitation of bee reproduction as a crossover operator in genetic algorithms. In: Zhang C, Guesgen HW, Yeap WK (eds) PRICAI 2004: trends in artificial intelligence, LNCS, vol 3157. Springer, Berlin/Heidelberg, Germany, pp 1015-1016.
    • (2004) PRICAI 2004: Trends in Artificial Intelligence, LNCS , vol.3157 , pp. 1015-1016
    • Karci, A.1
  • 28
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598): 671-680.
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 29
    • 77949298118 scopus 로고    scopus 로고
    • Iterated local search with powells method: a memetic algorithm for continuous global optimization
    • Kramer O (2010) Iterated local search with powells method: a memetic algorithm for continuous global optimization. Memet Comput 2: 69-83.
    • (2010) Memet Comput , vol.2 , pp. 69-83
    • Kramer, O.1
  • 30
    • 4344563114 scopus 로고    scopus 로고
    • Noisy optimization problems - a particular challenge for differential evolution?
    • IEEE Press, Piscataway, NJ
    • Krink T, Filipic B, Fogel G, Thomsen R (2004) Noisy optimization problems - a particular challenge for differential evolution? In: Proceedings of the Congress on Evolutionary Computation. IEEE Press, Piscataway, NJ, vol 1, pp 332-339.
    • (2004) Proceedings of the Congress on Evolutionary Computation , vol.1 , pp. 332-339
    • Krink, T.1    Filipic, B.2    Fogel, G.3    Thomsen, R.4
  • 32
    • 77951673798 scopus 로고    scopus 로고
    • A bumble bees mating optimization algorithm for global unconstrained optimization problems
    • J. González, D. Pelta, C. Cruz, G. Terrazas, and N. Krasnogor (Eds.), Germany: Springer, Berlin/Heidelberg
    • Marinakis Y, Marinaki M, Matsatsinis N (2010) A bumble bees mating optimization algorithm for global unconstrained optimization problems. In: González J, Pelta D, Cruz C, Terrazas G, Krasnogor N (eds) Nature inspired cooperative strategies for optimization (NICSO 2010), studies in computational intelligence, vol 284. Springer, Berlin/Heidelberg, Germany, pp 305-318.
    • (2010) Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), Studies in Computational Intelligence , vol.284 , pp. 305-318
    • Marinakis, Y.1    Marinaki, M.2    Matsatsinis, N.3
  • 33
    • 34547116844 scopus 로고    scopus 로고
    • Genetic diversity in honey bee colonies enhances productivity and fitness
    • Mattila HR, Seeley TD (2007) Genetic diversity in honey bee colonies enhances productivity and fitness. Science 317: 362-364.
    • (2007) Science , vol.317 , pp. 362-364
    • Mattila, H.R.1    Seeley, T.D.2
  • 34
    • 0000238336 scopus 로고
    • A simplex method for function minimization
    • Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7(4): 308-313.
    • (1965) Comput J , vol.7 , Issue.4 , pp. 308-313
    • Nelder, J.A.1    Mead, R.2
  • 37
    • 0031353459 scopus 로고    scopus 로고
    • Bee system: Finding solution by a concentrated search
    • Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation'. IEEE Press, Piscataway, NJ
    • Sato T, Hagiwara M (1997) Bee system: finding solution by a concentrated search. In: IEEE International Conference on Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation'. IEEE Press, Piscataway, NJ, vol 4, pp 3954-3959.
    • (1997) IEEE International Conference on Systems , vol.4 , pp. 3954-3959
    • Sato, T.1    Hagiwara, M.2
  • 38
    • 42149145160 scopus 로고    scopus 로고
    • Trophallaxis within a robotic swarm: bio-inspired communication among robots in a swarm
    • Schmickl T, Crailsheim K (2008) Trophallaxis within a robotic swarm: bio-inspired communication among robots in a swarm. Auton Robots 25: 171-188.
    • (2008) Auton Robots , vol.25 , pp. 171-188
    • Schmickl, T.1    Crailsheim, K.2
  • 39
    • 77950325437 scopus 로고    scopus 로고
    • Princeton, NJ: Princeton University Press
    • Seeley TD (2010) Honeybee democracy. Princeton University Press, Princeton, NJ.
    • (2010) Honeybee Democracy
    • Seeley, T.D.1
  • 40
    • 34848884200 scopus 로고    scopus 로고
    • Ant colony optimization for continuous domains
    • Socha K, Dorigo M (2008) Ant colony optimization for continuous domains. Eur J Oper Res 185(3): 1155-1173.
    • (2008) Eur J Oper Res , vol.185 , Issue.3 , pp. 1155-1173
    • Socha, K.1    Dorigo, M.2
  • 41
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces
    • Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11: 341-359.
    • (1997) J Glob Optim , vol.11 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 43
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: convergence analysis and parameter selection
    • Trelea IC (2003) The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf Process Lett 85: 317-325.
    • (2003) Inf Process Lett , vol.85 , pp. 317-325
    • Trelea, I.C.1
  • 44
    • 33745853431 scopus 로고    scopus 로고
    • Chapmann & Hall, chap New ideas for developing routing algorithms inspired by honey bee behavior
    • Wedde HF, Farooq M (2005) Handbook of Bioinspired Algorithms and Applications, Chapmann & Hall, chap New ideas for developing routing algorithms inspired by honey bee behavior, pp 321-339.
    • (2005) Handbook of Bioinspired Algorithms and Applications , pp. 321-339
    • Wedde, H.F.1    Farooq, M.2


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