메뉴 건너뛰기




Volumn 18, Issue 5, 2014, Pages 871-903

Benchmarking and comparison of nature-inspired population-based continuous optimisation algorithms

Author keywords

Bees algorithm; Evolutionary algorithms; Optimisation; Optimisation benchmarks; Swarm intelligence

Indexed keywords

ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84898915192     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-013-1104-9     Document Type: Article
Times cited : (67)

References (51)
  • 5
    • 35048812259 scopus 로고    scopus 로고
    • Multi-swarm optimization in dynamic environments, applications of evolutionary computing
    • In: Raidl GR (ed). Springer, Berlin
    • Blackwell T, Branke J (2004) Multi-swarm optimization in dynamic environments, applications of evolutionary computing. In: Raidl GR (ed) Lecture notes in computer science, vol 3005. Springer, Berlin, pp 489-500.
    • (2004) Lecture notes in computer science , vol.3005 , pp. 489-500
    • Blackwell, T.1    Branke, J.2
  • 8
    • 2942529349 scopus 로고    scopus 로고
    • Continuous interacting ant colony algorithm based on dense heterarchy
    • Dréo J, Siarry P (2004) Continuous interacting ant colony algorithm based on dense heterarchy. Future Gener Comput Syst 20: 841-856.
    • (2004) Future Gener Comput Syst , vol.20 , pp. 841-856
    • Dréo, J.1    Siarry, P.2
  • 9
    • 80055056236 scopus 로고    scopus 로고
    • Performance assessment of foraging algorithms vs. evolutionary algorithms
    • El-Abd M (2012) Performance assessment of foraging algorithms vs. evolutionary algorithms. Inf Sci 182(1): 243-263.
    • (2012) Inf Sci , vol.182 , Issue.1 , pp. 243-263
    • El-Abd, M.1
  • 10
    • 22344432656 scopus 로고    scopus 로고
    • Comparison among five evolutionary-based optimization algorithms
    • Elbeltagi E, Hegazy T, Grierson D (2005) Comparison among five evolutionary-based optimization algorithms. Adv Eng Inform 19(1): 43-53.
    • (2005) Adv Eng Inform , vol.19 , Issue.1 , pp. 43-53
    • Elbeltagi, E.1    Hegazy, T.2    Grierson, D.3
  • 14
    • 80053935615 scopus 로고    scopus 로고
    • Restart particle swarm optimization with velocity modulation: a scalability test
    • doi: 10. 1007/s00500-010-0648-1
    • García-Nieto J, Alba E (2010) Restart particle swarm optimization with velocity modulation: a scalability test. Soft Comput. doi: 10. 1007/s00500-010-0648-1. http://sci2s. ugr. es/EAMHCO/pdf-soco/P09. pdf.
    • (2010) Soft Comput.
    • García-Nieto, J.1    Alba, E.2
  • 18
    • 1842535329 scopus 로고    scopus 로고
    • A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
    • Juang CF (2004) A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Trans Syst Man Cybern Part B Cybern 34(2): 997-1006.
    • (2004) IEEE Trans Syst Man Cybern Part B Cybern , vol.34 , Issue.2 , pp. 997-1006
    • Juang, C.F.1
  • 19
    • 35148827874 scopus 로고    scopus 로고
    • Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department
    • Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department. http://mf. erciyes. edu. tr/abc/pub/tr06_2005. pdf.
    • (2005) An idea based on honey bee swarm for numerical optimization
    • Karaboga, D.1
  • 21
    • 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(1): 687-697.
    • (2008) Appl Soft Comput , vol.8 , Issue.1 , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 26
    • 36849047705 scopus 로고    scopus 로고
    • Towards unbiased benchmarking of evolutionary and hybrid algorithms for real-valued optimisation
    • MacNish C (2007) Towards unbiased benchmarking of evolutionary and hybrid algorithms for real-valued optimisation. Connect Sci 19(4): 361-385.
    • (2007) Connect Sci , vol.19 , Issue.4 , pp. 361-385
    • MacNish, C.1
  • 27
    • 33751530288 scopus 로고    scopus 로고
    • A novel numerical optimization algorithm inspired from weed colonization
    • Mehrabian AR, Lucas C (2006) A novel numerical optimization algorithm inspired from weed colonization. Ecol Inf 1(4): 355-366.
    • (2006) Ecol Inf , vol.1 , Issue.4 , pp. 355-366
    • Mehrabian, A.R.1    Lucas, C.2
  • 28
    • 53349090793 scopus 로고    scopus 로고
    • The crowding approach to niching in genetic algorithms
    • Mengshoel OJ, Goldberg DE (2008) The crowding approach to niching in genetic algorithms. Evol Comput 16(3): 315-354.
    • (2008) Evol Comput , vol.16 , Issue.3 , pp. 315-354
    • Mengshoel, O.J.1    Goldberg, D.E.2
  • 32
    • 0036608987 scopus 로고    scopus 로고
    • Biomimicry of bacterial foraging for distributed optimisation and control
    • Passino KM (2002) Biomimicry of bacterial foraging for distributed optimisation and control. IEEE Control Syst Mag (June), pp 52- 67.
    • (2002) IEEE Control Syst Mag (June) , pp. 52-67
    • Passino, K.M.1
  • 33
    • 72649083553 scopus 로고    scopus 로고
    • The bees algorithm-modelling foraging behaviour to solve continuous optimisation problems
    • Pham DT, Castellani M (2009) The bees algorithm-modelling foraging behaviour to solve continuous optimisation problems. Proc ImechE Part C 223(12): 2919-2938.
    • (2009) Proc ImechE Part C , vol.223 , Issue.12 , pp. 2919-2938
    • Pham, D.T.1    Castellani, M.2
  • 34
    • 77958531369 scopus 로고    scopus 로고
    • Adaptive selection routine for evolutionary algorithms
    • Pham DT, Castellani M (2010) Adaptive selection routine for evolutionary algorithms. J Syst Control Eng 224(16): 623-633.
    • (2010) J Syst Control Eng , vol.224 , Issue.16 , pp. 623-633
    • Pham, D.T.1    Castellani, M.2
  • 38
    • 0003721053 scopus 로고
    • library translation no. 1122, Ministry of Aviation, Royal Aircraft Establishment, Farnborough, Hants, UK
    • Rechenberg I (1965) Cybernetic solution path of an experimental problem, library translation no. 1122, Ministry of Aviation, Royal Aircraft Establishment, Farnborough, Hants, UK.
    • (1965) Cybernetic solution path of an experimental problem
    • Rechenberg, I.1
  • 41
    • 84879015433 scopus 로고    scopus 로고
    • Parameter selection in particle swarm optimization
    • San Diego, CA, Lecture Notes in Computer Science volume 1447, Springer, Berlin
    • Shi Y, Eberhart R (1998) Parameter selection in particle swarm optimization. In: Proceedings of seventh annual conference on evolutionary programming, San Diego, CA, Lecture Notes in Computer Science volume 1447, Springer, Berlin, pp 591-600.
    • (1998) Proceedings of seventh annual conference on evolutionary programming , pp. 591-600
    • Shi, Y.1    Eberhart, R.2
  • 43
    • 34848884200 scopus 로고    scopus 로고
    • Ant colony optimisation for continuous domains
    • Socha K, Dorigo M (2008) Ant colony optimisation for continuous domains. Eur J Oper Res 185: 1155-1173.
    • (2008) Eur J Oper Res , vol.185 , pp. 1155-1173
    • Socha, K.1    Dorigo, M.2
  • 44
    • 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
  • 48
  • 50
    • 84858985277 scopus 로고    scopus 로고
    • Engineering optimisation by cuckoo search
    • Yang XS, Deb S (2010) Engineering optimisation by cuckoo search. Int J Math Model Numer Optim 1(4): 330-343.
    • (2010) Int J Math Model Numer Optim , vol.1 , Issue.4 , pp. 330-343
    • Yang, X.S.1    Deb, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.