메뉴 건너뛰기




Volumn 20, Issue 4, 2016, Pages 1305-1313

An exact penalty function-based differential search algorithm for constrained global optimization

Author keywords

Constrained optimization; Differential search; Dynamic penalty function; Global optimum

Indexed keywords

ALGORITHMS; BENCHMARKING; CONSTRAINED OPTIMIZATION; EVOLUTIONARY ALGORITHMS; GLOBAL OPTIMIZATION; PROBLEM SOLVING;

EID: 84961052005     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-015-1588-6     Document Type: Article
Times cited : (110)

References (31)
  • 1
    • 84876471192 scopus 로고    scopus 로고
    • A penalty function-based differential evolution algorithm for constrained global optimization
    • Ali MM, Zhu WX (2013) A penalty function-based differential evolution algorithm for constrained global optimization. Comput Optim Appl 54(3):707–739
    • (2013) Comput Optim Appl , vol.54 , Issue.3 , pp. 707-739
    • Ali, M.M.1    Zhu, W.X.2
  • 2
    • 80055049702 scopus 로고    scopus 로고
    • Mixed variable structural optimization using Firefly Algorithm
    • Amir G, Xin-She Y, Amir A (2011) Mixed variable structural optimization using Firefly Algorithm. Comput Struct 89:2325–2336
    • (2011) Comput Struct , vol.89 , pp. 2325-2336
    • Amir, G.1    Xin-She, Y.2    Amir, A.3
  • 3
    • 84864302644 scopus 로고    scopus 로고
    • Transforming geocentric Cartesian coordinates to geodetic coordinates by using differential search algorithm
    • Civicioglu P (2012) Transforming geocentric Cartesian coordinates to geodetic coordinates by using differential search algorithm. Comput Geosci 46:229–247
    • (2012) Comput Geosci , vol.46 , pp. 229-247
    • Civicioglu, P.1
  • 4
    • 84875414061 scopus 로고    scopus 로고
    • Backtracking search optimization algorithm for numerical optimization problems
    • Civicioglu P (2013a) Backtracking search optimization algorithm for numerical optimization problems. Appl Math Comput 219(15):8121–8144
    • (2013) Appl Math Comput , vol.219 , Issue.15 , pp. 8121-8144
    • Civicioglu, P.1
  • 5
    • 84873319894 scopus 로고    scopus 로고
    • Artificial cooperative search algorithm for numerical optimization problems
    • Civicioglu P (2013b) Artificial cooperative search algorithm for numerical optimization problems. Inf Sci 229:58–76
    • (2013) Inf Sci , vol.229 , pp. 58-76
    • Civicioglu, P.1
  • 6
    • 0037016631 scopus 로고    scopus 로고
    • Theoretical and numerical constraint handling techniques used with evolutionary algorithms: a survey of the state of the art
    • Coello CAC (2002) Theoretical and numerical constraint handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput Methods Appl Mech Eng 191:1245–1287
    • (2002) Comput Methods Appl Mech Eng , vol.191 , pp. 1245-1287
    • Coello, C.A.C.1
  • 7
    • 84885950824 scopus 로고    scopus 로고
    • A new algorithm inspired in the behavior of the social-spider for constrained optimization
    • Cuevas E, Cienfuegos M (2014) A new algorithm inspired in the behavior of the social-spider for constrained optimization. Expert Syst Appl 41:412–425. doi:10.1016/j.eswa.2013.07.067
    • (2014) Expert Syst Appl , vol.41 , pp. 412-425
    • Cuevas, E.1    Cienfuegos, M.2
  • 8
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithms
    • Deb K (2000) An efficient constraint handling method for genetic algorithms. Comput Methods Appl Mech Eng 186(2):311–338
    • (2000) Comput Methods Appl Mech Eng , vol.186 , Issue.2 , pp. 311-338
    • Deb, K.1
  • 10
    • 81955165132 scopus 로고    scopus 로고
    • Constraint-handling in nature-inspired numerical optimization: past, present and future
    • Efrén M-M, Coello Coello CA (2011) Constraint-handling in nature-inspired numerical optimization: past, present and future. Swarm Evol Comput 1:173–194
    • (2011) Swarm Evol Comput , vol.1 , pp. 173-194
    • Efrén, M.-M.1    Coello Coello, C.A.2
  • 11
    • 0142258075 scopus 로고    scopus 로고
    • Self-adaptive fitness formulation for constrained optimization
    • Farmani R, Wright JA (2003) Self-adaptive fitness formulation for constrained optimization. IEEE Trans Evol Comput 7:445–455
    • (2003) IEEE Trans Evol Comput , vol.7 , pp. 445-455
    • Farmani, R.1    Wright, J.A.2
  • 12
    • 84890967112 scopus 로고    scopus 로고
    • Differential search algorithm-based parametric optimization of electrochemical micromachining processes
    • Goswami DK, Chakraborty S (2014) Differential search algorithm-based parametric optimization of electrochemical micromachining processes. Int J Ind Eng Comput 5:41–54
    • (2014) Int J Ind Eng Comput , vol.5 , pp. 41-54
    • Goswami, D.K.1    Chakraborty, S.2
  • 14
    • 0028602950 scopus 로고
    • On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GAs
    • IEEE Press, Orlando
    • Joines J, Houck C (1994a) On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GAs. In: Fogel D (ed) Proceedings of the first IEEE conference on evolutionary computation. IEEE Press, Orlando, pp 579–584
    • (1994) Proceedings of the first IEEE conference on evolutionary computation , pp. 579-584
    • Joines, J.1    Houck, C.2    Fogel, D.3
  • 15
    • 0028602950 scopus 로고
    • On the use of non-stationary penalty functions to solve non-linear constrained optimization problems with GAs. In: Proceedings of the first IEEE international conference on evolutionary computation Press
    • Joines J, Houck C (1994b) On the use of non-stationary penalty functions to solve non-linear constrained optimization problems with GAs. In: Proceedings of the first IEEE international conference on evolutionary computation. IEEE Press, pp 579–584
    • (1994) IEEE pp 579–584
    • Joines, J.1    Houck, C.2
  • 16
    • 79951858405 scopus 로고    scopus 로고
    • A modified artificial bee colony (ABC) algorithm for constrained optimization problems
    • Karaboga D, Akay B (2011) A modified artificial bee colony (ABC) algorithm for constrained optimization problems. Appl Soft Comput 11:3021–3031
    • (2011) Appl Soft Comput , vol.11 , pp. 3021-3031
    • Karaboga, D.1    Akay, B.2
  • 17
    • 0033094194 scopus 로고    scopus 로고
    • Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
    • Koziel S, Michalewicz Z (1999) Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization. Evol Comput 7:19–44
    • (1999) Evol Comput , vol.7 , pp. 19-44
    • Koziel, S.1    Michalewicz, Z.2
  • 18
    • 84885877623 scopus 로고    scopus 로고
    • Problem definitions and evaluation criteria for the CEC special session on constrained real-parameter optimization
    • Liang JJ, Runarsson TP, Mezura-Montes E (2006) Problem definitions and evaluation criteria for the CEC special session on constrained real-parameter optimization. J Appl Mech 2006:41
    • (2006) J Appl Mech , vol.2006 , pp. 41
    • Liang, J.J.1    Runarsson, T.P.2    Mezura-Montes, E.3
  • 19
    • 14844307657 scopus 로고    scopus 로고
    • A simple multimembered evolution strategy to solve constrained optimization problems
    • Mezura-Montes E, Coello CAC (2005) A simple multimembered evolution strategy to solve constrained optimization problems. IEEE Trans Evol Comput 9(1):1–17
    • (2005) IEEE Trans Evol Comput , vol.9 , Issue.1 , pp. 1-17
    • Mezura-Montes, E.1    Coello, C.A.C.2
  • 21
    • 77956392754 scopus 로고    scopus 로고
    • Differential evolution in constrained numerical optimization: an empirical study
    • Mezura-Montes E, Miranda-Varela ME, Gómez-Ramón RC (2010) Differential evolution in constrained numerical optimization: an empirical study. Inf Sci 180(22):4223–4262
    • (2010) Inf Sci , vol.180 , Issue.22 , pp. 4223-4262
    • Mezura-Montes, E.1    Miranda-Varela, M.E.2    Gómez-Ramón, R.C.3
  • 22
    • 0034266683 scopus 로고    scopus 로고
    • Stochastic ranking for constrained evolutionary optimization
    • Runarsson TP, Yao X (2000) Stochastic ranking for constrained evolutionary optimization. IEEE Trans Evol Comput 4:284–294
    • (2000) IEEE Trans Evol Comput , vol.4 , pp. 284-294
    • Runarsson, T.P.1    Yao, X.2
  • 24
    • 0034227632 scopus 로고    scopus 로고
    • Coevolutionary augmented Lagrangian methods for constrained optimization
    • Tahk M-J, Sun B-C (2000) Coevolutionary augmented Lagrangian methods for constrained optimization. IEEE Trans Evol Comput 4(2):114–124
    • (2000) IEEE Trans Evol Comput , vol.4 , Issue.2 , pp. 114-124
    • Tahk, M.-J.1    Sun, B.-C.2
  • 25
    • 84898066886 scopus 로고    scopus 로고
    • Swarm-based metaheuristic algorithms and no-free-lunch theorems
    • Theory and new applications of swarm intelligence, Intech Open Science
    • Yang XS (2012) Swarm-based metaheuristic algorithms and no-free-lunch theorems. In: Parpinelli R, Lopes HS (eds) Theory and new applications of swarm intelligence. Intech Open Science, pp 1–16
    • (2012) Parpinelli R , pp. 1-16
    • Yang, X.S.1    Lopes, H.S.2
  • 27
    • 11144245159 scopus 로고    scopus 로고
    • Penalty function methods for constrained optimization with genetic algorithms
    • Yeniay Ö (2005) Penalty function methods for constrained optimization with genetic algorithms. Math Comput Appl 10(1):45–56
    • (2005) Math Comput Appl , vol.10 , Issue.1 , pp. 45-56
    • Yeniay, Ö.1
  • 28
    • 77957790374 scopus 로고    scopus 로고
    • A new exact penalty function method for continuous inequality constrained optimization problems
    • Yu C, Teo KL, Zhang L, Bai Y (2010) A new exact penalty function method for continuous inequality constrained optimization problems. J Ind Manag Optim 6(4):895–910
    • (2010) J Ind Manag Optim , vol.6 , Issue.4 , pp. 895-910
    • Yu, C.1    Teo, K.L.2    Zhang, L.3    Bai, Y.4
  • 29
    • 54949090033 scopus 로고    scopus 로고
    • Solving constrained optimization problems with hybrid particle swarm optimization
    • Zahara E, Hu CH (2008) Solving constrained optimization problems with hybrid particle swarm optimization. Eng Optim 40(11):1031–1049
    • (2008) Eng Optim , vol.40 , Issue.11 , pp. 1031-1049
    • Zahara, E.1    Hu, C.H.2
  • 30
    • 56349149883 scopus 로고    scopus 로고
    • Hybrid Nelder–Mead simplex search and particle swarm optimization for constrained engineering design problems
    • Zahara E, Kao YT (2009) Hybrid Nelder–Mead simplex search and particle swarm optimization for constrained engineering design problems. Expert Syst Appl 36(2):3880–3886
    • (2009) Expert Syst Appl , vol.36 , Issue.2 , pp. 3880-3886
    • Zahara, E.1    Kao, Y.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.