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Volumn 42, Issue 22, 2015, Pages 8881-8895

PS-ABC: A hybrid algorithm based on particle swarm and artificial bee colony for high-dimensional optimization problems

Author keywords

Artificial bee colony; High dimensional optimization problems; Hybrid algorithm; Particle swarm optimization

Indexed keywords

ALGORITHMS; EVOLUTIONARY ALGORITHMS; ITERATIVE METHODS; OPTIMIZATION;

EID: 84940462454     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.07.043     Document Type: Article
Times cited : (152)

References (43)
  • 2
    • 33847199831 scopus 로고    scopus 로고
    • Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems
    • Brest J., Greiner S., Boskovic B., Mernik M., Zumer V. Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems IEEE Transactions on Evolutionary Computation 10 2006 646 657
    • (2006) IEEE Transactions on Evolutionary Computation , vol.10 , pp. 646-657
    • Brest, J.1    Greiner, S.2    Boskovic, B.3    Mernik, M.4    Zumer, V.5
  • 3
    • 0033738932 scopus 로고    scopus 로고
    • A continuous genetic algorithm designed for the global optimization of multimodal functions
    • Chelouah R., Siarry P. A continuous genetic algorithm designed for the global optimization of multimodal functions Journal of Heuristics 6 2000 191 213
    • (2000) Journal of Heuristics , vol.6 , pp. 191-213
    • Chelouah, R.1    Siarry, P.2
  • 4
    • 84911017661 scopus 로고    scopus 로고
    • Hybrid artificial bee colony algorithm and particle swarm search for global optimization
    • Chun-Feng W., Kui L., Pei-Ping S. Hybrid artificial bee colony algorithm and particle swarm search for global optimization Mathematical Problems in Engineering 2014 2014
    • (2014) Mathematical Problems in Engineering , vol.2014
    • Chun-Feng, W.1    Kui, L.2    Pei-Ping, S.3
  • 6
    • 79960535211 scopus 로고    scopus 로고
    • A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
    • Derrac J., García S., Molina D., Herrera F. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms Swarm and Evolutionary Computation 1 2011 3 18
    • (2011) Swarm and Evolutionary Computation , vol.1 , pp. 3-18
    • Derrac, J.1    García, S.2    Molina, D.3    Herrera, F.4
  • 11
    • 21144459575 scopus 로고
    • On a monotonicity problem in step-down multiple test procedures
    • Finner H. On a monotonicity problem in step-down multiple test procedures Journal of the American Statistical Association 88 1993 920 923
    • (1993) Journal of the American Statistical Association , vol.88 , pp. 920-923
    • Finner, H.1
  • 12
    • 0002401274 scopus 로고    scopus 로고
    • A global optimization algorithm for multivariate functions with Lipschitzian first derivatives
    • Gergel V.P. A global optimization algorithm for multivariate functions with Lipschitzian first derivatives Journal of Global Optimization 10 1997 257 281
    • (1997) Journal of Global Optimization , vol.10 , pp. 257-281
    • Gergel, V.P.1
  • 13
    • 63349091633 scopus 로고    scopus 로고
    • A novel global optimization technique for high dimensional functions
    • Grosan C., Abraham A. A novel global optimization technique for high dimensional functions International Journal of Intelligent Systems 24 2009 421 440
    • (2009) International Journal of Intelligent Systems , vol.24 , pp. 421-440
    • Grosan, C.1    Abraham, A.2
  • 15
    • 33645762226 scopus 로고
    • A sharper Bonferroni procedure for multiple tests of significance
    • Hochberg Y. A sharper Bonferroni procedure for multiple tests of significance Biometrika 75 1988 800 802
    • (1988) Biometrika , vol.75 , pp. 800-802
    • Hochberg, Y.1
  • 16
    • 0022965475 scopus 로고
    • An improved sequentially rejective Bonferroni test procedure
    • Holland B.S., Copenhaver M.D. An improved sequentially rejective Bonferroni test procedure Biometrics 43 1987 417 423
    • (1987) Biometrics , vol.43 , pp. 417-423
    • Holland, B.S.1    Copenhaver, M.D.2
  • 17
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm S. A simple sequentially rejective multiple test procedure Scandinavian Journal of Statistics 6 1979 65 70
    • (1979) Scandinavian Journal of Statistics , vol.6 , pp. 65-70
    • Holm, S.1
  • 19
    • 84908170688 scopus 로고    scopus 로고
    • Velocity based artificial bee colony algorithm for high dimensional continuous optimization problems
    • Imanian N., Shiri M.E., Moradi P. Velocity based artificial bee colony algorithm for high dimensional continuous optimization problems Engineering Applications of Artificial Intelligence 36 2014 148 163
    • (2014) Engineering Applications of Artificial Intelligence , vol.36 , pp. 148-163
    • Imanian, N.1    Shiri, M.E.2    Moradi, P.3
  • 21
    • 80054878485 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization algorithm for high-dimensional problems
    • Jia D., Zheng G., Qu B., Khan M.K. A hybrid particle swarm optimization algorithm for high-dimensional problems Computers & Industrial Engineering 61 2011 1117 1122
    • (2011) Computers & Industrial Engineering , vol.61 , pp. 1117-1122
    • Jia, D.1    Zheng, G.2    Qu, B.3    Khan, M.K.4
  • 24
    • 67349273050 scopus 로고    scopus 로고
    • A comparative study of artificial bee colony algorithm
    • Karaboga D., Akay B. A comparative study of artificial bee colony algorithm Applied Mathematics and Computation 214 2009 108 132
    • (2009) Applied Mathematics and Computation , vol.214 , pp. 108-132
    • Karaboga, D.1    Akay, B.2
  • 25
    • 34548479029 scopus 로고    scopus 로고
    • On the performance of artificial bee colony (ABC) algorithm
    • Karaboga D., Basturk B. On the performance of artificial bee colony (ABC) algorithm Applied soft computing 8 2008 687 697
    • (2008) Applied Soft Computing , vol.8 , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 26
    • 84886726325 scopus 로고    scopus 로고
    • A recombination-based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems
    • KIran M.S., Gündüz M. A recombination-based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems Applied soft computing 13 2013 2188 2203
    • (2013) Applied Soft Computing , vol.13 , pp. 2188-2203
    • KIran, M.S.1    Gündüz, M.2
  • 27
    • 84905701289 scopus 로고    scopus 로고
    • Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization
    • Nanyang Technological University Singapore
    • Liang J., Qu B., Suganthan P. Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report 2013 Nanyang Technological University Singapore
    • (2013) Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report
    • Liang, J.1    Qu, B.2    Suganthan, P.3
  • 29
    • 48749109333 scopus 로고    scopus 로고
    • Particle swarm optimization for parameter determination and feature selection of support vector machines
    • Lin S.-W., Ying K.-C., Chen S.-C., Lee Z.-J. Particle swarm optimization for parameter determination and feature selection of support vector machines Expert systems with applications 35 2008 1817 1824
    • (2008) Expert Systems with Applications , vol.35 , pp. 1817-1824
    • Lin, S.-W.1    Ying, K.-C.2    Chen, S.-C.3    Lee, Z.-J.4
  • 30
    • 84890117858 scopus 로고    scopus 로고
    • A hybrid algorithm based on particle swarm and chemical reaction optimization
    • Nguyen T.T., Li Z., Zhang S., Truong T.K. A hybrid algorithm based on particle swarm and chemical reaction optimization Expert systems with applications 41 2014 2134 2143
    • (2014) Expert Systems with Applications , vol.41 , pp. 2134-2143
    • Nguyen, T.T.1    Li, Z.2    Zhang, S.3    Truong, T.K.4
  • 31
    • 40249090398 scopus 로고    scopus 로고
    • Accelerating differential evolution using an adaptive local search
    • Noman N., Iba H. Accelerating differential evolution using an adaptive local search Evolutionary Computation, IEEE Transactions on 12 2008 107 125
    • (2008) Evolutionary Computation, IEEE Transactions on , vol.12 , pp. 107-125
    • Noman, N.1    Iba, H.2
  • 33
    • 67649280613 scopus 로고    scopus 로고
    • Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators
    • Sánchez A.M., Lozano M., Villar P., Herrera F. Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: combining neighborhood-based crossover operators International Journal of Intelligent Systems 24 2009 540 567
    • (2009) International Journal of Intelligent Systems , vol.24 , pp. 540-567
    • Sánchez, A.M.1    Lozano, M.2    Villar, P.3    Herrera, F.4
  • 38
    • 27144437429 scopus 로고    scopus 로고
    • Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization
    • 2005005.
    • Suganthan, P. N., Hansen, N., Liang, J. J., Deb, K., Chen, Y.-P., Auger, A., et al. (2005). Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. KanGAL Report, 2005005.
    • (2005) KanGAL Report
    • Suganthan, P.N.1    Hansen, N.2    Liang, J.J.3    Deb, K.4    Chen, Y.-P.5    Auger, A.6
  • 40
    • 80755186925 scopus 로고    scopus 로고
    • Enhancing the search ability of differential evolution through orthogonal crossover
    • Wang Y., Cai Z., Zhang Q. Enhancing the search ability of differential evolution through orthogonal crossover Information Sciences 185 2012 153 177
    • (2012) Information Sciences , vol.185 , pp. 153-177
    • Wang, Y.1    Cai, Z.2    Zhang, Q.3
  • 43
    • 78049297395 scopus 로고    scopus 로고
    • Gbest-guided artificial bee colony algorithm for numerical function optimization
    • Zhu G., Kwong S. Gbest-guided artificial bee colony algorithm for numerical function optimization Applied Mathematics and Computation 217 2010 3166 3173
    • (2010) Applied Mathematics and Computation , vol.217 , pp. 3166-3173
    • Zhu, G.1    Kwong, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.