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Volumn 222, Issue , 2013, Pages 680-711

Adaptive Configuration of evolutionary algorithms for constrained optimization

Author keywords

Constrained optimization; Evolutionary algorithms; Multi method algorithms; Multi operator algorithms

Indexed keywords

ALGORITHM APPROACHES; ALGORITHM FRAMEWORK; BENCH-MARK PROBLEMS; EVOLUTIONARY ALGORITHMS (EAS); MULTI METHODS; MULTI OPERATORS; OPTIMIZATION PROBLEMS; STATE-OF-THE-ART ALGORITHMS;

EID: 84883297646     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2013.07.068     Document Type: Article
Times cited : (37)

References (87)
  • 2
    • 84875954237 scopus 로고    scopus 로고
    • A directed genetic algorithm for global optimization
    • H.-C. Kuo, and C.-H. Lin A directed genetic algorithm for global optimization Applied Mathematics and Computation 219 2013 7348 7364
    • (2013) Applied Mathematics and Computation , vol.219 , pp. 7348-7364
    • Kuo, H.-C.1    Lin, C.-H.2
  • 3
    • 67349155902 scopus 로고    scopus 로고
    • A real coded genetic algorithm for solving integer and mixed integer optimization problems
    • K. Deep, K.P. Singh, M. Kansal, and C. Mohan A real coded genetic algorithm for solving integer and mixed integer optimization problems Applied Mathematics and Computation 212 2009 505 518
    • (2009) Applied Mathematics and Computation , vol.212 , pp. 505-518
    • Deep, K.1    Singh, K.P.2    Kansal, M.3    Mohan, C.4
  • 4
    • 84868481312 scopus 로고    scopus 로고
    • A hybrid method of fuzzy simulation and genetic algorithm to optimize constrained inventory control systems with stochastic replenishments and fuzzy demand
    • A.A. Taleizadeh, S.T.A. Niaki, M.-B. Aryanezhad, and N. Shafii A hybrid method of fuzzy simulation and genetic algorithm to optimize constrained inventory control systems with stochastic replenishments and fuzzy demand Information Sciences 220 2013 425 441
    • (2013) Information Sciences , vol.220 , pp. 425-441
    • Taleizadeh, A.A.1    Niaki, S.T.A.2    Aryanezhad, M.-B.3    Shafii, N.4
  • 8
    • 84864779001 scopus 로고    scopus 로고
    • On an evolutionary approach for constrained optimization problem solving
    • S.M. Elsayed, R.A. Sarker, and D.L. Essam On an evolutionary approach for constrained optimization problem solving Applied Soft Computing 12 2012 3208 3227
    • (2012) Applied Soft Computing , vol.12 , pp. 3208-3227
    • Elsayed, S.M.1    Sarker, R.A.2    Essam, D.L.3
  • 10
    • 0029326675 scopus 로고
    • A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems
    • D.B. Fogel A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems Simulation 64 1995 397 404
    • (1995) Simulation , vol.64 , pp. 397-404
    • Fogel, D.B.1
  • 11
    • 84871254656 scopus 로고    scopus 로고
    • An adaptive parameter tuning of particle swarm optimization algorithm
    • G. Xu An adaptive parameter tuning of particle swarm optimization algorithm Applied Mathematics and Computation 219 2012 4560 4569
    • (2012) Applied Mathematics and Computation , vol.219 , pp. 4560-4569
    • Xu, G.1
  • 12
    • 67349273050 scopus 로고    scopus 로고
    • A comparative study of artificial bee colony algorithm
    • D. Karaboga, and B. Akay 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
  • 13
    • 78049297395 scopus 로고    scopus 로고
    • Gbest-guided artificial bee colony algorithm for numerical function optimization
    • G. Zhu, and S. Kwong 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
  • 16
    • 84875414061 scopus 로고    scopus 로고
    • Backtracking search optimization algorithm for numerical optimization problems
    • P. Civicioglu Backtracking search optimization algorithm for numerical optimization problems Applied Mathematics and Computation 219 2013 8121 8144
    • (2013) Applied Mathematics and Computation , vol.219 , pp. 8121-8144
    • Civicioglu, P.1
  • 17
    • 38649118249 scopus 로고    scopus 로고
    • Reinforcement learning and evolutionary algorithms for non-stationary multi-armed bandit problems
    • D. Koulouriotis, and A. Xanthopoulos Reinforcement learning and evolutionary algorithms for non-stationary multi-armed bandit problems Applied Mathematics and Computation 196 2008 913 922
    • (2008) Applied Mathematics and Computation , vol.196 , pp. 913-922
    • Koulouriotis, D.1    Xanthopoulos, A.2
  • 20
    • 84855891097 scopus 로고    scopus 로고
    • Multiproduct multiple-buyer single-vendor supply chain problem with stochastic demand, variable lead-time, and multi-chance constraint
    • A.A. Taleizadeh, S.T.A. Niaki, and A. Makui Multiproduct multiple-buyer single-vendor supply chain problem with stochastic demand, variable lead-time, and multi-chance constraint Expert Systems with Applications 39 2012 5338 5348
    • (2012) Expert Systems with Applications , vol.39 , pp. 5338-5348
    • Taleizadeh, A.A.1    Niaki, S.T.A.2    Makui, A.3
  • 21
    • 79957496143 scopus 로고    scopus 로고
    • Multiple-buyer multiple-vendor multi-product multi-constraint supply chain problem with stochastic demand and variable lead-time: A harmony search algorithm
    • A.A. Taleizadeh, S.T.A. Niaki, and F. Barzinpour Multiple-buyer multiple-vendor multi-product multi-constraint supply chain problem with stochastic demand and variable lead-time: a harmony search algorithm Applied Mathematics and Computation 217 2011 9234 9253
    • (2011) Applied Mathematics and Computation , vol.217 , pp. 9234-9253
    • Taleizadeh, A.A.1    Niaki, S.T.A.2    Barzinpour, F.3
  • 24
    • 77951657630 scopus 로고    scopus 로고
    • On the use of multi-algorithm, genetically adaptive multi-objective method for multi-site calibration of the SWAT model
    • X. Zhang, R. Srinivasan, and M.V. Liew On the use of multi-algorithm, genetically adaptive multi-objective method for multi-site calibration of the SWAT model Hydrological Processes 24 2009 955 969
    • (2009) Hydrological Processes , vol.24 , pp. 955-969
    • Zhang, X.1    Srinivasan, R.2    Liew, M.V.3
  • 25
    • 0003062189 scopus 로고
    • Adapting crossover in evolutionary algorithms
    • J.R. McDonnell, R.G. Reynolds, D.B. Fogel (Eds.)
    • W.M. Spears, Adapting crossover in evolutionary algorithms, in: J.R. McDonnell, R.G. Reynolds, D.B. Fogel (Eds.), The 4th Annual Conference on Evolutionary Programming, 1995, pp. 367-384.
    • (1995) The 4th Annual Conference on Evolutionary Programming , pp. 367-384
    • Spears, W.M.1
  • 28
  • 29
    • 79959443028 scopus 로고    scopus 로고
    • Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems
    • R. Mallipeddi, P.N. Suganthan, Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems, in: IEEE Congress on Evolutionary Computation, 2010, pp. 1-8.
    • (2010) IEEE Congress on Evolutionary Computation , pp. 1-8
    • Mallipeddi, R.1    Suganthan, P.N.2
  • 33
    • 71649084635 scopus 로고    scopus 로고
    • An ensemble of discrete differential evolution algorithms for solving the generalized traveling salesman problem
    • M.F. Tasgetiren, P.N. Suganthan, and Q.-K. Pan An ensemble of discrete differential evolution algorithms for solving the generalized traveling salesman problem Applied Mathematics and Computation 215 2010 3356 3368
    • (2010) Applied Mathematics and Computation , vol.215 , pp. 3356-3368
    • Tasgetiren, M.F.1    Suganthan, P.N.2    Pan, Q.-K.3
  • 34
    • 79955056563 scopus 로고    scopus 로고
    • Multi-operator based evolutionary algorithms for solving constrained optimization Problems
    • S.M. Elsayed, R.A. Sarker, and D.L. Essam Multi-operator based evolutionary algorithms for solving constrained optimization Problems Computers and Operations Research 38 2011 1877 1896
    • (2011) Computers and Operations Research , vol.38 , pp. 1877-1896
    • Elsayed, S.M.1    Sarker, R.A.2    Essam, D.L.3
  • 35
    • 79952003746 scopus 로고    scopus 로고
    • Differential evolution with composite trial vector generation strategies and control parameters
    • Y. Wang, Z. Cai, and Q. Zhang Differential evolution with composite trial vector generation strategies and control parameters IEEE Transactions on Evolutionary Computation 15 2011 55 66
    • (2011) IEEE Transactions on Evolutionary Computation , vol.15 , pp. 55-66
    • Wang, Y.1    Cai, Z.2    Zhang, Q.3
  • 36
  • 42
    • 0000991259 scopus 로고
    • Simulated binary crossover for continuous search space
    • R.B. Agrawal, K. Deb, K. Deb, and R.B. Agrawal Simulated binary crossover for continuous search space Complex Systems 9 1995 115 148
    • (1995) Complex Systems , vol.9 , pp. 115-148
    • Agrawal, R.B.1    Deb, K.2    Deb, K.3    Agrawal, R.B.4
  • 43
    • 0036885602 scopus 로고    scopus 로고
    • A computationally efficient evolutionary algorithm for real-parameter optimization
    • K. Deb, A. Anand, and D. Joshi A computationally efficient evolutionary algorithm for real-parameter optimization Evolutionary Computation 10 2002 371 395
    • (2002) Evolutionary Computation , vol.10 , pp. 371-395
    • Deb, K.1    Anand, A.2    Joshi, D.3
  • 50
    • 0029722015 scopus 로고    scopus 로고
    • Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation
    • N. Hansen, A. Ostermeier, Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation, in: IEEE Congress on Evolutionary Computation, 1996, pp. 312-317.
    • (1996) IEEE Congress on Evolutionary Computation , pp. 312-317
    • Hansen, N.1    Ostermeier, A.2
  • 51
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • N. Hansen, and A. Ostermeier Completely derandomized self-adaptation in evolution strategies Evolutionary Computation 9 2001 159 195
    • (2001) Evolutionary Computation , vol.9 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 53
    • 1542273610 scopus 로고    scopus 로고
    • Evolutionary programming using mutations based on the Lévy probability distribution
    • L. Chang-Yong, and Y. Xin Evolutionary programming using mutations based on the Lévy probability distribution IEEE Transactions on Evolutionary Computation 8 2004 1 13
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , pp. 1-13
    • Chang-Yong, L.1    Xin, Y.2
  • 55
    • 81955165132 scopus 로고    scopus 로고
    • Constraint-handling in nature-inspired numerical optimization: Past, present and future
    • E. Mezura-Montes, and C.A. Coello Coello Constraint-handling in nature-inspired numerical optimization: past, present and future Swarm and Evolutionary Computation 1 2011 173 194
    • (2011) Swarm and Evolutionary Computation , vol.1 , pp. 173-194
    • Mezura-Montes, E.1    Coello Coello, C.A.2
  • 56
  • 58
    • 38849083420 scopus 로고    scopus 로고
    • Analyzing the simple ranking and selection process for constrained evolutionary optimization
    • E. Elfeky, R. Sarker, and D. Essam Analyzing the simple ranking and selection process for constrained evolutionary optimization Computer Science and Technology 23 2008 19 34
    • (2008) Computer Science and Technology , vol.23 , pp. 19-34
    • Elfeky, E.1    Sarker, R.2    Essam, D.3
  • 59
    • 58549088670 scopus 로고    scopus 로고
    • Solving constrained optimization problems using a novel genetic algorithm
    • I.G. Tsoulos Solving constrained optimization problems using a novel genetic algorithm Applied Mathematics and Computation 208 2009 273 283
    • (2009) Applied Mathematics and Computation , vol.208 , pp. 273-283
    • Tsoulos, I.G.1
  • 61
    • 79959453520 scopus 로고    scopus 로고
    • Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems
    • H.K. Singh, T. Ray, W. Smith, Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems, in: IEEE Congress on Evolutionary Computation, 2010, pp. 1-8.
    • (2010) IEEE Congress on Evolutionary Computation , pp. 1-8
    • Singh, H.K.1    Ray, T.2    Smith, W.3
  • 63
    • 34547356535 scopus 로고    scopus 로고
    • Constrained real-parameter optimization with generalized differential evolution
    • S. Kukkonen, J. Lampinen, Constrained real-parameter optimization with generalized differential evolution, in: IEEE Congress on Evolutionary Computation, 2006, pp. 207-214.
    • (2006) IEEE Congress on Evolutionary Computation , pp. 207-214
    • Kukkonen, S.1    Lampinen, J.2
  • 64
    • 34547343539 scopus 로고    scopus 로고
    • A multi-populated differential evolution algorithm for solving constrained optimization problem
    • M.F. Tasgetiren, P.N. Suganthan, A multi-populated differential evolution algorithm for solving constrained optimization problem, in: IEEE Congress on Evolutionary Computation, 2006, pp. 33-40.
    • (2006) IEEE Congress on Evolutionary Computation , pp. 33-40
    • Tasgetiren, M.F.1    Suganthan, P.N.2
  • 65
    • 33947265511 scopus 로고    scopus 로고
    • An effective co-evolutionary differential evolution for constrained optimization
    • F.-z. Huang, L. Wang, and Q. He An effective co-evolutionary differential evolution for constrained optimization Applied Mathematics and Computation 186 2007 340 356
    • (2007) Applied Mathematics and Computation , vol.186 , pp. 340-356
    • Huang, F.-Z.1    Wang, L.2    He, Q.3
  • 66
    • 67650699772 scopus 로고    scopus 로고
    • Stochastic ranking based differential evolution algorithm for constrained optimization problem
    • R. Liu, Y. Li, W. Zhang, L. Jiao, Stochastic ranking based differential evolution algorithm for constrained optimization problem, in: GEC Summit'2009, 2009, pp. 887-890.
    • (2009) GEC Summit'2009 , pp. 887-890
    • Liu, R.1    Li, Y.2    Zhang, W.3    Jiao, L.4
  • 68
    • 79959399013 scopus 로고    scopus 로고
    • An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization
    • J. Brest, B. Boškovič, V. Žumer, An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization, in: IEEE Congress on Evolutionary Computation 2010, pp. 1-8.
    • (2010) IEEE Congress on Evolutionary Computation , pp. 1-8
    • Brest, J.1
  • 69
    • 84862796933 scopus 로고    scopus 로고
    • Combining multiobjective optimization with differential evolution to solve constrained optimization problems
    • W. Yong, and C. Zixing Combining multiobjective optimization with differential evolution to solve constrained optimization problems IEEE Transactions on Evolutionary Computation 16 2012 117 134
    • (2012) IEEE Transactions on Evolutionary Computation , vol.16 , pp. 117-134
    • Yong, W.1    Zixing, C.2
  • 70
    • 84883274124 scopus 로고    scopus 로고
    • E. Cantú-Paz, J. Foster, K. Deb, L. Davis, R. Roy, U.-M. O'Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, M. Harman, J. Wegener, D. Dasgupta, M. Potter, A. Schultz, K. Dowsland, N. Jonoska, J. Miller (Eds.), Springer, Berlin/Heidelberg
    • E. Mezura-Montes, C.A. Coello Coello, A simple evolution strategy to solve constrained optimization problems.genetic and evolutionary computation - GECCO 2003, in: E. Cantú-Paz, J. Foster, K. Deb, L. Davis, R. Roy, U.-M. O'Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, M. Harman, J. Wegener, D. Dasgupta, M. Potter, A. Schultz, K. Dowsland, N. Jonoska, J. Miller (Eds.), Springer, Berlin/Heidelberg, 2003, p. 198.
    • (2003) A Simple Evolution Strategy to Solve Constrained Optimization Problems.Genetic and Evolutionary Computation - GECCO 2003 , pp. 198
    • Mezura-Montes, E.1    Coello Coello, C.A.2
  • 72
  • 74
    • 47749119622 scopus 로고    scopus 로고
    • An empirical study about the usefulness of evolution strategies to solve constrained optimization problems
    • E. Mezura-Montes, and C.A.C. Coello An empirical study about the usefulness of evolution strategies to solve constrained optimization problems International Journal of General Systems 37 2008 443 473
    • (2008) International Journal of General Systems , vol.37 , pp. 443-473
    • Mezura-Montes, E.1    Coello, C.A.C.2
  • 75
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithms
    • K. Deb An efficient constraint handling method for genetic algorithms Computer Methods in Applied Mechanics and Engineering 186 2000 311 338
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , pp. 311-338
    • Deb, K.1
  • 76
    • 0031191601 scopus 로고    scopus 로고
    • Evolutionary programming techniques for constrained optimization problems
    • K. Jong-Hwan, and M. Hyun Evolutionary programming techniques for constrained optimization problems IEEE Transactions on Evolutionary Computation 1 1997 129 140
    • (1997) IEEE Transactions on Evolutionary Computation , vol.1 , pp. 129-140
    • Jong-Hwan, K.1    Hyun, M.2
  • 77
    • 33847712310 scopus 로고    scopus 로고
    • An adaptive penalty function method for constrained optimization with evolutionary programming
    • X. Yu, and B. Wu An adaptive penalty function method for constrained optimization with evolutionary programming Advanced Computational Intelligence and Intelligent Informatics 4 1999 164 170
    • (1999) Advanced Computational Intelligence and Intelligent Informatics , vol.4 , pp. 164-170
    • Yu, X.1    Wu, B.2
  • 79
    • 18444366752 scopus 로고    scopus 로고
    • Application of evolutionary programming to security constrained economic dispatch
    • P. Somasundaram, and K. Kuppusamy Application of evolutionary programming to security constrained economic dispatch Electrical Power & Energy Systems 27 2005 343 351
    • (2005) Electrical Power & Energy Systems , vol.27 , pp. 343-351
    • Somasundaram, P.1    Kuppusamy, K.2
  • 80
    • 70450014923 scopus 로고    scopus 로고
    • Diversity enhanced adaptive evolutionary programming for solving single objective constrained problems
    • R. Mallipeddi, P.N. Suganthan, B.Y. Qu, Diversity enhanced adaptive evolutionary programming for solving single objective constrained problems, in: IEEE Congress on Evolutionary Computation, 2009, pp. 2106-2113.
    • (2009) IEEE Congress on Evolutionary Computation , pp. 2106-2113
    • Mallipeddi, R.1    Suganthan, P.N.2    Qu, B.Y.3
  • 83
    • 27144512834 scopus 로고    scopus 로고
    • A restart CMA evolution strategy with increasing population size
    • A. Auger, N. Hansen, A restart CMA evolution strategy with increasing population size, in: IEEE Congress on Evolutionary Computation, 2005, pp. 1769-1776.
    • (2005) IEEE Congress on Evolutionary Computation , pp. 1769-1776
    • Auger, A.1    Hansen, N.2
  • 84
    • 34547312868 scopus 로고    scopus 로고
    • Improving evolution strategies through active covariance matrix adaptation
    • G.A. Jastrebski, D.V. Arnold, Improving evolution strategies through active covariance matrix adaptation, in: IEEE Congress on Evolutionary Computation, 2006, pp. 2814-2821.
    • (2006) IEEE Congress on Evolutionary Computation , pp. 2814-2821
    • Jastrebski, G.A.1    Arnold, D.V.2
  • 87
    • 79959446440 scopus 로고    scopus 로고
    • Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation
    • T. Takahama, S. Sakai, Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation, in: IEEE Congress on Evolutionary Computation, 2010, pp. 1-9.
    • (2010) IEEE Congress on Evolutionary Computation , pp. 1-9
    • Takahama, T.1    Sakai, S.2


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