메뉴 건너뛰기




Volumn 26, Issue 6, 2015, Pages 1265-1275

A review on constraint handling strategies in particle swarm optimisation

Author keywords

Constraint handling; Optimisation; Particle swarm optimisation

Indexed keywords

ALGORITHMS; CONSTRAINED OPTIMIZATION; HEURISTIC ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING;

EID: 84937975471     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-014-1808-5     Document Type: Review
Times cited : (128)

References (82)
  • 2
    • 82455208673 scopus 로고    scopus 로고
    • A comprehensive review on methods for solving FACTS optimization problem in power systems
    • Jordehi AR, Jasni J (2011) A comprehensive review on methods for solving FACTS optimization problem in power systems. Int Rev Electr Eng 6:1916–1926
    • (2011) Int Rev Electr Eng , vol.6 , pp. 1916-1926
    • Jordehi, A.R.1    Jasni, J.2
  • 3
    • 84918774420 scopus 로고    scopus 로고
    • A chaotic-based big bang-big crunch algorithm for solving global optimisation problems
    • Jordehi AR (2014) A chaotic-based big bang-big crunch algorithm for solving global optimisation problems. Neural Comput Appl 25:1329–1335. doi:10.1007/s00521-014-1613-1
    • (2014) Neural Comput Appl , vol.25 , pp. 1329-1335
    • Jordehi, A.R.1
  • 4
    • 84930476501 scopus 로고    scopus 로고
    • Optimal setting of TCSC’s in power systems using teaching-learning-based optimisation algorithm
    • Jordehi AR (2014) Optimal setting of TCSC’s in power systems using teaching-learning-based optimisation algorithm. Neural Comput Appl. doi:10.1007/s00521-014-1791-x
    • (2014) Neural Comput Appl
    • Jordehi, A.R.1
  • 5
    • 84939933304 scopus 로고    scopus 로고
    • A chaotic artificial immune system optimisation algorithm for solving global continuous optimisation problems
    • Jordehi AR (2014) A chaotic artificial immune system optimisation algorithm for solving global continuous optimisation problems. Neural Comput Appl. doi:10.1007/s00521-014-1751-5
    • (2014) Neural Comput Appl
    • Jordehi, A.R.1
  • 6
    • 84912101195 scopus 로고    scopus 로고
    • Chaotic bat swarm optimisation (CBSO)
    • Jordehi AR (2014) Chaotic bat swarm optimisation (CBSO). Appl Soft Comput 26:523–530. doi:10.1016/j.asoc.2014.10.010
    • (2014) Appl Soft Comput , vol.26 , pp. 523-530
    • Jordehi, A.R.1
  • 7
    • 84889098550 scopus 로고    scopus 로고
    • CAPSO: centripetal accelerated particle swarm optimization
    • Beheshti Z, Hj Shamsuddin SM (2014) CAPSO: centripetal accelerated particle swarm optimization. Inf Sci 258:54–79
    • (2014) Inf Sci , vol.258 , pp. 54-79
    • Beheshti, Z.1    Hj Shamsuddin, S.M.2
  • 8
    • 84923377867 scopus 로고    scopus 로고
    • Opposition-based learning in shuffled frog leaping: an application for parameter identification
    • Ahandani MA, Alavi-Rad H (2015) Opposition-based learning in shuffled frog leaping: an application for parameter identification. Inf Sci 291:19–42. doi:10.1016/j.ins.2014.08.031
    • (2015) Inf Sci , vol.291 , pp. 19-42
    • Ahandani, M.A.1    Alavi-Rad, H.2
  • 9
    • 84865624789 scopus 로고    scopus 로고
    • Training support vector data descriptors using converging linear particle swarm optimization
    • Wang H, Zhao G, Li N (2012) Training support vector data descriptors using converging linear particle swarm optimization. Neural Comput Appl 21:1099–1105
    • (2012) Neural Comput Appl , vol.21 , pp. 1099-1105
    • Wang, H.1    Zhao, G.2    Li, N.3
  • 10
    • 84884512180 scopus 로고    scopus 로고
    • Animal migration optimization: an optimization algorithm inspired by animal migration behavior
    • Li X, Zhang J, Yin M (2013) Animal migration optimization: an optimization algorithm inspired by animal migration behavior. Neural Comput Appl 24:1867–1877. doi:10.1007/s00521-013-1433-8
    • (2013) Neural Comput Appl , vol.24 , pp. 1867-1877
    • Li, X.1    Zhang, J.2    Yin, M.3
  • 11
    • 84872494306 scopus 로고    scopus 로고
    • Cuckoo search algorithm for the selection of optimal machining parameters in milling operations
    • Yildiz AR (2013) Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. Int J Adv Manuf Technol 64:55–61
    • (2013) Int J Adv Manuf Technol , vol.64 , pp. 55-61
    • Yildiz, A.R.1
  • 12
    • 84881668314 scopus 로고    scopus 로고
    • A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations
    • Yildiz AR (2013) A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations. Appl Soft Comput 13:1561–1566
    • (2013) Appl Soft Comput , vol.13 , pp. 1561-1566
    • Yildiz, A.R.1
  • 14
    • 84912068362 scopus 로고    scopus 로고
    • Enhanced leader PSO (ELPSO): a new PSO variant for solving global optimisation problems
    • Jordehi AR (2014), Enhanced leader PSO (ELPSO): a new PSO variant for solving global optimisation problems. Appl Soft Comput 26:401–417
    • (2014) Appl Soft Comput , vol.26 , pp. 401-417
    • Jordehi, A.R.1
  • 15
    • 84887824631 scopus 로고    scopus 로고
    • Parameter selection in particle swarm optimisation: a survey
    • Jordehi AR, Jasni J (2013) Parameter selection in particle swarm optimisation: a survey. J Exp Theor Artif Intell 25:527–542
    • (2013) J Exp Theor Artif Intell , vol.25 , pp. 527-542
    • Jordehi, A.R.1    Jasni, J.2
  • 17
    • 84857812860 scopus 로고    scopus 로고
    • IEEE student conference on research and development
    • Jordehi R (2011) Heuristic methods for solution of FACTS optimization problem in power systems. In: 2011 IEEE student conference on research and development, pp 30–35
    • (2011) pp 30–35
  • 19
    • 84922001961 scopus 로고    scopus 로고
    • Particle swarm optimisation for discrete optimisation problems: a review
    • Jordehi AR, Jasni J (2013) Particle swarm optimisation for discrete optimisation problems: a review. Artif Intell Rev 1–16. doi:10.1007/s10462-012-9373-8
    • (2013) Artif Intell Rev
    • Jordehi, A.R.1    Jasni, J.2
  • 20
    • 84882736876 scopus 로고    scopus 로고
    • Particle swarm optimisation applications in FACTS optimisation problem. In: Power engineering and optimization conference (PEOCO), 2013 IEEE 7th International, IEEE
    • Jordehi AR, Jasni J, Abdul Wahab NI, Kadir A, Abidin MZ (2013) Particle swarm optimisation applications in FACTS optimisation problem. In: Power engineering and optimization conference (PEOCO), 2013 IEEE 7th International, IEEE, pp 193–198
    • (2013) pp 193–198
    • Jordehi, A.R.1    Jasni, J.2    Abdul Wahab, N.I.3    Kadir, A.4    Abidin, M.Z.5
  • 21
    • 84920250809 scopus 로고    scopus 로고
    • Particle swarm optimisation for dynamic optimisation problems: a review
    • Jordehi AR (2014) Particle swarm optimisation for dynamic optimisation problems: a review. Neural Comput Appl 25:1507–1516. doi:10.1007/s00521-014-1661-6
    • (2014) Neural Comput Appl , vol.25 , pp. 1507-1516
    • Jordehi, A.R.1
  • 27
    • 0028413196 scopus 로고
    • Constrained optimization via genetic algorithms
    • Homaifar A, Qi CX, Lai SH (1994) Constrained optimization via genetic algorithms. Simulation 62:242–253
    • (1994) Simulation , vol.62 , pp. 242-253
    • Homaifar, A.1    Qi, C.X.2    Lai, S.H.3
  • 29
    • 84937990825 scopus 로고    scopus 로고
    • Problem-independent handling of constraints by use of metric penalty functions. In: Proceedings of evolutionary programming
    • Hoffmeister F, Sprave J (1996) Problem-independent handling of constraints by use of metric penalty functions. In: Proceedings of evolutionary programming, pp 289–294. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.5900
    • (1996) pp 289–294
    • Hoffmeister, F.1    Sprave, J.2
  • 30
    • 0028602950 scopus 로고
    • On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA’s
    • Joines JA, Houck CR (1994) On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA’s. In: IEEE, 1994, vol 572, pp 579–584
    • (1994) IEEE, 1994 , vol.572 , pp. 579-584
    • Joines, J.A.1    Houck, C.R.2
  • 31
    • 0030688633 scopus 로고    scopus 로고
    • A genetic algorithm for the multiple-choice integer program
    • Ben Hadj-Alouane A, Bean JC (1997) A genetic algorithm for the multiple-choice integer program. Oper Res 45:92–101
    • (1997) Oper Res , vol.45 , pp. 92-101
    • Ben Hadj-Alouane, A.1    Bean, J.C.2
  • 32
    • 0032310775 scopus 로고    scopus 로고
    • Annealing a genetic algorithm over constraints
    • Carlson SE, Shonkwiler R (1998) Annealing a genetic algorithm over constraints. In: IEEE, 1998, vol 3934, pp 3931–3936
    • (1998) IEEE, 1998 , vol.3934 , pp. 3931-3936
    • Carlson, S.E.1    Shonkwiler, R.2
  • 33
    • 0034159170 scopus 로고    scopus 로고
    • Use of a self-adaptive penalty approach for engineering optimization problems
    • Coello Coello CA (2000) Use of a self-adaptive penalty approach for engineering optimization problems. Comput Ind 41:113–127
    • (2000) Comput Ind , vol.41 , pp. 113-127
    • Coello Coello, C.A.1
  • 34
    • 0029545558 scopus 로고
    • Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints
    • Michalewicz Z, Nazhiyath G (1995) Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints. In: IEEE, 1995, vol 642, pp 647–651
    • (1995) IEEE, 1995 , vol.642 , pp. 647-651
    • Michalewicz, Z.1    Nazhiyath, G.2
  • 36
    • 84958949122 scopus 로고
    • A multi-objective approach to constrained optimisation of gas supply networks: the COMOGA method
    • Surry P, Radcliffe N, Boyd I (1995) A multi-objective approach to constrained optimisation of gas supply networks: the COMOGA method. Evol Comput 993:166–180
    • (1995) Evol Comput , vol.993 , pp. 166-180
    • Surry, P.1    Radcliffe, N.2    Boyd, I.3
  • 38
    • 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 186:311–338
    • (2000) Comput Methods Appl Mech Eng , vol.186 , pp. 311-338
    • Deb, K.1
  • 39
    • 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
  • 40
    • 84937990826 scopus 로고
    • A fuzzy evolutionary approach to constrained optimization problems. In: IEEE proceeding on evolutionary computation conference, pp 274–278
    • Le TV (1995) A fuzzy evolutionary approach to constrained optimization problems. In: IEEE proceeding on evolutionary computation conference, pp 274–278. doi:10.1109/ICEC.1996.542374
    • (1995) doi:10.1109/ICEC.1996.542374
    • Le, T.V.1
  • 41
    • 26844445319 scopus 로고    scopus 로고
    • Unified particle swarm optimization for solving constrained engineering optimization problems
    • 3612, Springer, Berlin, Heidelberg
    • Parsopoulos K, Vrahatis M (2005) Unified particle swarm optimization for solving constrained engineering optimization problems. In: Advances in natural computation, vol 3612. Springer, Berlin, Heidelberg, pp 582–591
    • (2005) Advances in natural computation , pp. 582-591
    • Parsopoulos, K.1    Vrahatis, M.2
  • 42
    • 84937976397 scopus 로고    scopus 로고
    • An improved particle swarm algorithm for solving nonlinear constrained optimization problems
    • Zheng J, Wu Q, Song W (2007) An improved particle swarm algorithm for solving nonlinear constrained optimization problems. In: IEEE, 2007, pp 112–117
    • (2007) IEEE , vol.2007 , pp. 112-117
    • Zheng, J.1    Wu, Q.2    Song, W.3
  • 44
    • 33745606736 scopus 로고    scopus 로고
    • A novel particle swarm optimization for constrained optimization problems
    • Li X, Tian P, Kong M (2005) A novel particle swarm optimization for constrained optimization problems. In: AI 2005: advances in artificial intelligence, (2005), pp 1305–1310
    • (2005) AI 2005: advances in artificial intelligence , vol.2005 , pp. 1305-1310
    • Li, X.1    Tian, P.2    Kong, M.3
  • 46
    • 84942081912 scopus 로고    scopus 로고
    • Engineering optimization with particle swarm
    • Hu X, Eberhart RC, Shi Y (2003) Engineering optimization with particle swarm. In: IEEE, 2003, pp 53–57
    • (2003) IEEE , vol.2003 , pp. 53-57
    • Hu, X.1    Eberhart, R.C.2    Shi, Y.3
  • 47
    • 4344688550 scopus 로고    scopus 로고
    • Solving constrained nonlinear optimization problems with particle swarm optimization
    • Hu X, Eberhart R (2002) Solving constrained nonlinear optimization problems with particle swarm optimization. In: Citeseer, 2002, pp 203–206
    • (2002) Citeseer , vol.2002 , pp. 203-206
    • Hu, X.1    Eberhart, R.2
  • 48
    • 3042815918 scopus 로고    scopus 로고
    • An improved particle swarm optimizer for mechanical design optimization problems
    • He S, Prempain E, Wu Q (2004) An improved particle swarm optimizer for mechanical design optimization problems. Eng Optim 36:585–605
    • (2004) Eng Optim , vol.36 , pp. 585-605
    • He, S.1    Prempain, E.2    Wu, Q.3
  • 49
    • 84901406150 scopus 로고    scopus 로고
    • A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems
    • Coath G, Halgamuge SK (2003) A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems. In: The 2003 congress on evolutionary computation, 2003. CEC ‘03, vol 2414, pp 2419–2425
    • (2003) The 2003 congress on evolutionary computation, 2003. CEC ‘03 , vol.2414 , pp. 2419-2425
    • Coath, G.1    Halgamuge, S.K.2
  • 50
    • 57049172383 scopus 로고    scopus 로고
    • Looking inside particle swarm optimization in constrained search spaces. In: MICAI 2008: advances in artificial intelligence
    • Flores-Mendoza J, Mezura-Montes E (2008) Looking inside particle swarm optimization in constrained search spaces. In: MICAI 2008: advances in artificial intelligence, pp 451–461
    • (2008) pp 451–461
    • Flores-Mendoza, J.1    Mezura-Montes, E.2
  • 52
    • 33947655944 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization
    • He Q, Wang L (2007) A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization. Appl Math Comput 186:1407–1422
    • (2007) Appl Math Comput , vol.186 , pp. 1407-1422
    • He, Q.1    Wang, L.2
  • 53
    • 70350633101 scopus 로고    scopus 로고
    • An improved particle swarm optimization with feasibility-based rules for constrained optimization problems. In: Next-generation applied intelligence
    • Sun CL, Zeng JC, Pan JS (2009) An improved particle swarm optimization with feasibility-based rules for constrained optimization problems. In: Next-generation applied intelligence, pp 202–211
    • (2009) pp 202–211
    • Sun, C.L.1    Zeng, J.C.2    Pan, J.S.3
  • 54
    • 84937990830 scopus 로고    scopus 로고
    • Continuous constrained optimization with dynamic tolerance using the COPSO algorithm. In: Constraint-handling in evolutionary optimization
    • Zavala A, Aguirre A, Diharce E (2009) Continuous constrained optimization with dynamic tolerance using the COPSO algorithm. In: Constraint-handling in evolutionary optimization, pp 1–23
    • (2009) pp 1–23
    • Zavala, A.1    Aguirre, A.2    Diharce, E.3
  • 55
    • 84937971922 scopus 로고    scopus 로고
    • A constraint-handling mechanism for particle swarm optimization
    • Pulido GT, Coello CAC (2004) A constraint-handling mechanism for particle swarm optimization. In: Ieee, 2004, vol 1392, pp 1396–1403
    • (2004) Ieee, 2004 , vol.1392 , pp. 1396-1403
    • Pulido, G.T.1    Coello, C.A.C.2
  • 56
    • 38149016129 scopus 로고    scopus 로고
    • Handling constraints in particle swarm optimization using a small population size. In: Springer, Berlin
    • Cabrera JCF, Coello CAC (2007) Handling constraints in particle swarm optimization using a small population size. In: Springer, Berlin, pp 41–51
    • (2007) pp 41–51
    • Cabrera, J.C.F.1    Coello, C.A.C.2
  • 58
    • 67349103087 scopus 로고    scopus 로고
    • Co-evolutionary particle swarm optimization to solve constrained optimization problems
    • Kou X, Liu S, Zhang J, Zheng W (2009) Co-evolutionary particle swarm optimization to solve constrained optimization problems. Comput Math Appl 57:1776–1784
    • (2009) Comput Math Appl , vol.57 , pp. 1776-1784
    • Kou, X.1    Liu, S.2    Zhang, J.3    Zheng, W.4
  • 59
    • 52949116775 scopus 로고    scopus 로고
    • Solving constrained engineering optimization problems by the constrained PSO-DD
    • Worasucheep C (2008) Solving constrained engineering optimization problems by the constrained PSO-DD. In: IEEE, 2008, pp 5–8
    • (2008) IEEE , vol.2008 , pp. 5-8
    • Worasucheep, C.1
  • 60
    • 84937976747 scopus 로고    scopus 로고
    • A modified quantum-behaved particle swarm optimization for constrained optimization
    • Liu H, Xu S, Liang X (2008) A modified quantum-behaved particle swarm optimization for constrained optimization. In: IEEE, 2008, pp 531–534
    • (2008) IEEE , vol.2008 , pp. 531-534
    • Liu, H.1    Xu, S.2    Liang, X.3
  • 61
    • 32444435464 scopus 로고    scopus 로고
    • Constrained optimization via particle evolutionary swarm optimization algorithm (PESO)
    • Munoz Zavala AE, Aguirre AH, Villa Diharce ER (2005) Constrained optimization via particle evolutionary swarm optimization algorithm (PESO). In: ACM, 2005, pp 209–216
    • (2005) ACM , vol.2005 , pp. 209-216
    • Munoz Zavala, A.E.1    Aguirre, A.H.2    Villa Diharce, E.R.3
  • 62
    • 33749629462 scopus 로고    scopus 로고
    • Dynamic-objective particle swarm optimization for constrained optimization problems
    • Lu H, Chen W (2006) Dynamic-objective particle swarm optimization for constrained optimization problems. J Comb Optim 12:409–419
    • (2006) J Comb Optim , vol.12 , pp. 409-419
    • Lu, H.1    Chen, W.2
  • 63
    • 47249114516 scopus 로고    scopus 로고
    • Self-adaptive velocity particle swarm optimization for solving constrained optimization problems
    • Lu H, Chen W (2008) Self-adaptive velocity particle swarm optimization for solving constrained optimization problems. J Global Optim 41:427–445
    • (2008) J Global Optim , vol.41 , pp. 427-445
    • Lu, H.1    Chen, W.2
  • 64
    • 0034875551 scopus 로고    scopus 로고
    • A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems
    • Ray T, Liew K (2001), A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems. In: IEEE, 2001, vol 71, pp 75–80
    • (2001) IEEE, 2001 , vol.71 , pp. 75-80
    • Ray, T.1    Liew, K.2
  • 65
    • 54849408973 scopus 로고    scopus 로고
    • Power generation loading optimization using a multi-objective constraint-handling method via PSO algorithm
    • Li LD, Li X, Yu X (2008) Power generation loading optimization using a multi-objective constraint-handling method via PSO algorithm. In: IEEE, 2008, pp 1632–1637
    • (2008) IEEE , vol.2008 , pp. 1632-1637
    • Li, L.D.1    Li, X.2    Yu, X.3
  • 66
    • 33947136501 scopus 로고    scopus 로고
    • Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems
    • Krohling RA, dos Santos Coelho L (2006) Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems. IEEE Trans Syst Man Cybern B Cybern 36:1407–1416
    • (2006) IEEE Trans Syst Man Cybern B Cybern , vol.36 , pp. 1407-1416
    • Krohling, R.A.1    dos Santos, C.L.2
  • 67
    • 34547277367 scopus 로고    scopus 로고
    • Dynamic multi-swarm particle swarm optimizer with a novel constraint-handling mechanism
    • Liang J, Suganthan P (2006), Dynamic multi-swarm particle swarm optimizer with a novel constraint-handling mechanism. In: IEEE, 2006, pp 9–16
    • (2006) IEEE , vol.2006 , pp. 9-16
    • Liang, J.1    Suganthan, P.2
  • 68
    • 61849088363 scopus 로고    scopus 로고
    • Solving constrained optimization via dual particle swarm optimization with stochastic ranking
    • Jian L, Zhiming L, Peng C (2008) Solving constrained optimization via dual particle swarm optimization with stochastic ranking. In: Ieee, 2008, pp 1215–1218
    • (2008) Ieee , vol.2008 , pp. 1215-1218
    • Jian, L.1    Zhiming, L.2    Peng, C.3
  • 70
    • 27344446970 scopus 로고    scopus 로고
    • Constrained optimization by applying the α constrained method to the nonlinear simplex method with mutations
    • Takahama T, Sakai S (2005) Constrained optimization by applying the α constrained method to the nonlinear simplex method with mutations. IEEE Trans Evol Comput 9:437–451
    • (2005) IEEE Trans Evol Comput , vol.9 , pp. 437-451
    • Takahama, T.1    Sakai, S.2
  • 71
    • 42749104579 scopus 로고    scopus 로고
    • Solving constrained optimization problems by the ε constrained particle swarm optimizer with adaptive velocity limit control
    • Takahama T, Sakai S (2006) Solving constrained optimization problems by the ε constrained particle swarm optimizer with adaptive velocity limit control. In: 2006 IEEE conference on cybernetics and intelligent systems, IEEE, 2006, pp 1–7
    • (2006) 2006 IEEE conference on cybernetics and intelligent systems, IEEE , vol.2006
    • Takahama, T.1    Sakai, S.2
  • 74
    • 33747601341 scopus 로고    scopus 로고
    • Using augmented Lagrangian particle swarm optimization for constrained problems in engineering
    • Sedlaczek K, Eberhard P (2006) Using augmented Lagrangian particle swarm optimization for constrained problems in engineering. Struct Multidiscip Optim 32:277–286
    • (2006) Struct Multidiscip Optim , vol.32 , pp. 277-286
    • Sedlaczek, K.1    Eberhard, P.2
  • 75
    • 84937990835 scopus 로고    scopus 로고
    • Constrained particle swarm optimization of mechanical systems. In: 6th world congresses of structural and multidisciplinary optimization Rio de Janeiro
    • Sedlaczek K, Eberhard P (2005), Constrained particle swarm optimization of mechanical systems. In: 6th world congresses of structural and multidisciplinary optimization Rio de Janeiro, vol 30
    • (2005) vol 30
    • Sedlaczek, K.1    Eberhard, P.2
  • 76
    • 70449727989 scopus 로고    scopus 로고
    • Generation and reserve dispatch in a competitive market using constrained particle swarm optimization
    • Azadani EN, Hosseinian S, Moradzadeh B (2010) Generation and reserve dispatch in a competitive market using constrained particle swarm optimization. Int J Electr Power Energy Syst 32:79–86
    • (2010) Int J Electr Power Energy Syst , vol.32 , pp. 79-86
    • Azadani, E.N.1    Hosseinian, S.2    Moradzadeh, B.3
  • 77
    • 84857502646 scopus 로고    scopus 로고
    • Constrained multiple-swarm particle swarm optimization within a cultural framework
    • Daneshyari M, Yen GG (2012) Constrained multiple-swarm particle swarm optimization within a cultural framework. IEEE Trans Syst Man Cybern A Syst Hum 42:475–490
    • (2012) IEEE Trans Syst Man Cybern A Syst Hum , vol.42 , pp. 475-490
    • Daneshyari, M.1    Yen, G.G.2
  • 78
    • 79959429153 scopus 로고    scopus 로고
    • Solving constrained optimization using multiple swarm cultural PSO with inter-swarm communication
    • Daneshyari M, Yen GG (2010) Solving constrained optimization using multiple swarm cultural PSO with inter-swarm communication. In: 2010 IEEE congress on evolutionary computation (CEC), IEEE, 2010, pp 1–8
    • (2010) 2010 IEEE congress on evolutionary computation (CEC), IEEE , vol.2010
    • Daneshyari, M.1    Yen, G.G.2
  • 81
    • 56449083809 scopus 로고    scopus 로고
    • A ranking selection-based particle swarm optimizer for engineering design optimization problems
    • Wang J, Yin Z (2008) A ranking selection-based particle swarm optimizer for engineering design optimization problems. Struct Multidiscip Optim 37:131–147
    • (2008) Struct Multidiscip Optim , vol.37 , pp. 131-147
    • Wang, J.1    Yin, Z.2
  • 82
    • 67349093238 scopus 로고    scopus 로고
    • Boundary search for constrained numerical optimization problems with an algorithm inspired by the ant colony metaphor
    • Leguizamón G, Coello Coello CA (2009) Boundary search for constrained numerical optimization problems with an algorithm inspired by the ant colony metaphor. IEEE Trans Evol Comput 13:350–368
    • (2009) IEEE Trans Evol Comput , vol.13 , pp. 350-368
    • Leguizamón, G.1    Coello Coello, C.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.