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Volumn 299, Issue , 2015, Pages 117-142

An adaptive gradient descent-based local search in memetic algorithm applied to optimal controller design

Author keywords

Engineering optimization problem; Local search; Memetic algorithm; Optimal control; Population based algorithm

Indexed keywords

CHAOTIC SYSTEMS; DC MOTORS; DEGREES OF FREEDOM (MECHANICS); ELECTRIC MACHINE CONTROL; EVOLUTIONARY ALGORITHMS; LOCAL SEARCH (OPTIMIZATION); MACHINE DESIGN; MANIPULATORS; OPTIMIZATION; ROBOT APPLICATIONS;

EID: 84961289954     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.11.051     Document Type: Article
Times cited : (71)

References (65)
  • 1
    • 84894502150 scopus 로고    scopus 로고
    • A novel approach for designing adaptive fuzzy classifiers based on the combination of an artificial immune network and a memetic algorithm
    • A.M. Acilar, and A. Arslan A novel approach for designing adaptive fuzzy classifiers based on the combination of an artificial immune network and a memetic algorithm Inf. Sci. 264 2014 158 181
    • (2014) Inf. Sci. , vol.264 , pp. 158-181
    • Acilar, A.M.1    Arslan, A.2
  • 2
    • 79957991146 scopus 로고    scopus 로고
    • Intelligent identification and control using improved fuzzy particle swarm optimization
    • A. Alfi, and M.M. Fateh Intelligent identification and control using improved fuzzy particle swarm optimization Expert Syst. Appl. 38 2011 12312 12317
    • (2011) Expert Syst. Appl. , vol.38 , pp. 12312-12317
    • Alfi, A.1    Fateh, M.M.2
  • 3
    • 84856274204 scopus 로고    scopus 로고
    • ∞ adaptive PID controller
    • ∞ adaptive PID controller J. Chaos Solitons Fract. 42 2012 351 357
    • (2012) J. Chaos Solitons Fract. , vol.42 , pp. 351-357
    • Alfi, A.1
  • 4
    • 79958240240 scopus 로고    scopus 로고
    • PSO with adaptive mutation and inertia weight and its application in parameter estimation of dynamic systems
    • A. Alfi PSO with adaptive mutation and inertia weight and its application in parameter estimation of dynamic systems Acta Autom. 37 2011 541 549
    • (2011) Acta Autom. , vol.37 , pp. 541-549
    • Alfi, A.1
  • 5
    • 79957956574 scopus 로고    scopus 로고
    • Identification of nonlinear systems using modified particle swarm optimization: A hydraulic suspension system
    • A. Alfi, and M.M. Fateh Identification of nonlinear systems using modified particle swarm optimization: a hydraulic suspension system J. Veh. Syst. Dynam. 46 2011 871 887
    • (2011) J. Veh. Syst. Dynam. , vol.46 , pp. 871-887
    • Alfi, A.1    Fateh, M.M.2
  • 6
    • 78549243263 scopus 로고    scopus 로고
    • System identification and control using adaptive particle swarm optimization
    • A. Alfi, and H. Modares System identification and control using adaptive particle swarm optimization J. Appl. Math. Model. 35 2011 1210 1221
    • (2011) J. Appl. Math. Model. , vol.35 , pp. 1210-1221
    • Alfi, A.1    Modares, H.2
  • 8
    • 1442283467 scopus 로고    scopus 로고
    • A tabu search hyper heuristic for timetabling and rostering
    • E.K. Burke, G. Kendall, and E. Soubeiga A tabu search hyper heuristic for timetabling and rostering J. Heuristics 9 2003 451 470
    • (2003) J. Heuristics , vol.9 , pp. 451-470
    • Burke, E.K.1    Kendall, G.2    Soubeiga, E.3
  • 10
    • 33750810348 scopus 로고    scopus 로고
    • Nonlinear system identification and control using areal-coded genetic algorithm
    • W. Chang Nonlinear system identification and control using areal-coded genetic algorithm Appl. Math. Model. 31 2007 541 550
    • (2007) Appl. Math. Model. , vol.31 , pp. 541-550
    • Chang, W.1
  • 11
    • 67349254131 scopus 로고    scopus 로고
    • Optimal contraction theorem for exploration-exploitation tradeoff in search and optimization
    • J. Chen, B. Xin, Z. Peng, L. Dou, and J. Zhang Optimal contraction theorem for exploration-exploitation tradeoff in search and optimization IEEE Trans. Syst. Man Cybern. 39 2009 680 691
    • (2009) IEEE Trans. Syst. Man Cybern. , vol.39 , pp. 680-691
    • Chen, J.1    Xin, B.2    Peng, Z.3    Dou, L.4    Zhang, J.5
  • 12
    • 0001914191 scopus 로고
    • The method of steepest descent for non-linear minimization problems
    • H.B. Curry The method of steepest descent for non-linear minimization problems Q. Appl. Math. 2 1944 258 261
    • (1944) Q. Appl. Math. , vol.2 , pp. 258-261
    • Curry, H.B.1
  • 13
    • 84889585310 scopus 로고    scopus 로고
    • A hyper heuristic approach to scheduling a sales summit
    • Springer Lecture Notes in Computer Science, Konstanz, Germany
    • P. Cowling, G. Kendall, E. Soubeiga, A hyper heuristic approach to scheduling a sales summit, in: PATAT 2000, Springer Lecture Notes in Computer Science, Konstanz, Germany, 2000, pp. 176-190.
    • (2000) PATAT 2000 , pp. 176-190
    • Cowling, P.1    Kendall, G.2    Soubeiga, E.3
  • 14
    • 0033266804 scopus 로고    scopus 로고
    • A nonlinear conjugate gradient method with a strong global convergence property
    • Y.H. Dai, and Y. Yuan A nonlinear conjugate gradient method with a strong global convergence property SIAM J. Optim. 10 1999 177 182
    • (1999) SIAM J. Optim. , vol.10 , pp. 177-182
    • Dai, Y.H.1    Yuan, Y.2
  • 16
    • 84907335463 scopus 로고    scopus 로고
    • A novel version of the bacterial memetic algorithm with modified operator execution order
    • L. Gál, L.T. Kóczy, and R. Lovassy A novel version of the bacterial memetic algorithm with modified operator execution order Óbuda Univ. Bull. 1 2010 25 34
    • (2010) Óbuda Univ. Bull. , vol.1 , pp. 25-34
    • Gál, L.1    Kóczy, L.T.2    Lovassy, R.3
  • 17
    • 79952624870 scopus 로고    scopus 로고
    • An efficient memetic algorithm for solving the job shop scheduling problem
    • L. Gao, G. Zhang, L. Zhang, and X. Li An efficient memetic algorithm for solving the job shop scheduling problem Comput. Ind. Eng. 60 2011 699 705
    • (2011) Comput. Ind. Eng. , vol.60 , pp. 699-705
    • Gao, L.1    Zhang, G.2    Zhang, L.3    Li, X.4
  • 19
    • 0038273913 scopus 로고    scopus 로고
    • Balance between genetic search and local search in memetic algorithms for multi-objective permutation flow shop scheduling
    • H. Ishibuchi, T. Yoshida, and T. Murata Balance between genetic search and local search in memetic algorithms for multi-objective permutation flow shop scheduling IEEE Trans. Evol. Comput. 7 2003 204 223
    • (2003) IEEE Trans. Evol. Comput. , vol.7 , pp. 204-223
    • Ishibuchi, H.1    Yoshida, T.2    Murata, T.3
  • 20
    • 84922429953 scopus 로고    scopus 로고
    • Modeling and optimization for curing of polymer flooding using an artificial neural network and a genetic algorithm
    • B. Jiang, F. Zhang, Y. Sun, X. Zhou, J. Dong, and L. Zhang Modeling and optimization for curing of polymer flooding using an artificial neural network and a genetic algorithm J. Taiwan Inst. Chem. Eng. 45 2014 2217 2224
    • (2014) J. Taiwan Inst. Chem. Eng. , vol.45 , pp. 2217-2224
    • Jiang, B.1    Zhang, F.2    Sun, Y.3    Zhou, X.4    Dong, J.5    Zhang, L.6
  • 22
    • 84901812323 scopus 로고    scopus 로고
    • A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem
    • G. Koulinas, L. Kotsikas, and K. Anagnostopoulos A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem Inf. Sci. 277 2014 680 693
    • (2014) Inf. Sci. , vol.277 , pp. 680-693
    • Koulinas, G.1    Kotsikas, L.2    Anagnostopoulos, K.3
  • 26
    • 27344452492 scopus 로고    scopus 로고
    • A tutorial for competent memetic algorithms: Model, taxonomy, and design issues
    • N. Krasnogor, and J. Smith A tutorial for competent memetic algorithms: model, taxonomy, and design issues IEEE Trans. Evol. Comput. 9 2005 474 488
    • (2005) IEEE Trans. Evol. Comput. , vol.9 , pp. 474-488
    • Krasnogor, N.1    Smith, J.2
  • 27
    • 0033730795 scopus 로고    scopus 로고
    • A study of the Lamarckian evolution of recurrent neural networks
    • K.W.C. Ku, M.W. Mak, and W.C. Siu A study of the Lamarckian evolution of recurrent neural networks IEEE Trans. Evol. Comput. 4 2000 31 42
    • (2000) IEEE Trans. Evol. Comput. , vol.4 , pp. 31-42
    • Ku, K.W.C.1    Mak, M.W.2    Siu, W.C.3
  • 28
    • 76149138011 scopus 로고    scopus 로고
    • A new local search strategy for memetic multi-objective evolutionary algorithms
    • A. Lara, G. Sanchez, C.A. Coello, and O. Schütze A new local search strategy for memetic multi-objective evolutionary algorithms IEEE Trans. Evol. Comput. 14 2010 112 132
    • (2010) IEEE Trans. Evol. Comput. , vol.14 , pp. 112-132
    • Lara, A.1    Sanchez, G.2    Coello, C.A.3    Schütze, O.4
  • 29
    • 84892553248 scopus 로고    scopus 로고
    • Region based memetic algorithm for real-parameter optimisation
    • B. Lacroix, D. Molina, and F. Herrera Region based memetic algorithm for real-parameter optimisation Inf. Sci. 262 2014 15 31
    • (2014) Inf. Sci. , vol.262 , pp. 15-31
    • Lacroix, B.1    Molina, D.2    Herrera, F.3
  • 30
    • 84922590736 scopus 로고    scopus 로고
    • A high performance memetic algorithm for extremely high-dimensional problems
    • M. Lastra, D. Molina, and J. Benítez A high performance memetic algorithm for extremely high-dimensional problems Inf. Sci. 293 2015 35 58
    • (2015) Inf. Sci. , vol.293 , pp. 35-58
    • Lastra, M.1    Molina, D.2    Benítez, J.3
  • 31
    • 84922621907 scopus 로고    scopus 로고
    • Memetic feature selection algorithm for multi-label classification
    • J. Lee, and D.W. Kim Memetic feature selection algorithm for multi-label classification Inf. Sci. 293 2015 80 96
    • (2015) Inf. Sci. , vol.293 , pp. 80-96
    • Lee, J.1    Kim, D.W.2
  • 32
    • 84861191799 scopus 로고    scopus 로고
    • A self-learning particle swarm optimizer for global optimization problems
    • C. Li, S. Yang, and T.T. Nguyen A self-learning particle swarm optimizer for global optimization problems IEEE Trans. Syst. Man Cybern. 42 2011 627 646
    • (2011) IEEE Trans. Syst. Man Cybern. , vol.42 , pp. 627-646
    • Li, C.1    Yang, S.2    Nguyen, T.T.3
  • 35
    • 33744745603 scopus 로고    scopus 로고
    • An evolutionary clustering algorithm for gene expression microarray data analysis
    • P.C.H. Ma, K.C.C. Chan, Y. Xin, and D.K.Y. Chiu An evolutionary clustering algorithm for gene expression microarray data analysis IEEE Trans. Evol. Comput. 10 2006 296 314
    • (2006) IEEE Trans. Evol. Comput. , vol.10 , pp. 296-314
    • Ma, P.C.H.1    Chan, K.C.C.2    Xin, Y.3    Chiu, D.K.Y.4
  • 36
    • 84869411139 scopus 로고    scopus 로고
    • Particle swarm optimization of interval type-2 fuzzy systems for FPGA applications
    • Y. Maldonado, O. Castillo, and P. Melin Particle swarm optimization of interval type-2 fuzzy systems for FPGA applications Appl. Soft Comput. 13 2013 496 508
    • (2013) Appl. Soft Comput. , vol.13 , pp. 496-508
    • Maldonado, Y.1    Castillo, O.2    Melin, P.3
  • 37
    • 84874665555 scopus 로고    scopus 로고
    • Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical optimization paradigm
    • P. Melin, L. Astudillo, O. Castillo, F. Valdez, and M. Garcia Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical optimization paradigm Expert Syst. Appl. 40 2013 3185 3195
    • (2013) Expert Syst. Appl. , vol.40 , pp. 3185-3195
    • Melin, P.1    Astudillo, L.2    Castillo, O.3    Valdez, F.4    Garcia, M.5
  • 39
    • 73249126274 scopus 로고    scopus 로고
    • Parameter identification of chaotic dynamic systems through an improved particle swarm optimization
    • H. Modares, A. Alfi, and M.M. Fateh Parameter identification of chaotic dynamic systems through an improved particle swarm optimization Expert Syst. Appl. 37 2010 3714 3720
    • (2010) Expert Syst. Appl. , vol.37 , pp. 3714-3720
    • Modares, H.1    Alfi, A.2    Fateh, M.M.3
  • 40
    • 77749289802 scopus 로고    scopus 로고
    • Memetic algorithms for continuous optimization based on local search chains
    • D. Molina, M. Lozano, C. García Martínez, and F. Herrera Memetic algorithms for continuous optimization based on local search chains Evol. Comput. 18 2010 27 63
    • (2010) Evol. Comput. , vol.18 , pp. 27-63
    • Molina, D.1    Lozano, M.2    García Martínez, C.3    Herrera, F.4
  • 41
    • 0033747331 scopus 로고    scopus 로고
    • On how Pachycondyla apicalis ants suggest a new search algorithm
    • N. Monmarche, G. Venturini, and M. Slimane On how Pachycondyla apicalis ants suggest a new search algorithm Future Gener. Comput. Syst. 16 2000 937 946
    • (2000) Future Gener. Comput. Syst. , vol.16 , pp. 937-946
    • Monmarche, N.1    Venturini, G.2    Slimane, M.3
  • 46
    • 79955618765 scopus 로고    scopus 로고
    • A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization
    • S.K. Oh, H.J. Jang, and W. Pedrycz A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization Expert Syst. Appl. 38 2011 11217 11229
    • (2011) Expert Syst. Appl. , vol.38 , pp. 11217-11229
    • Oh, S.K.1    Jang, H.J.2    Pedrycz, W.3
  • 47
    • 31744447191 scopus 로고    scopus 로고
    • Artificial intelligence technologies in complex engineering design
    • Ph.D. Dissertation Southampton, U.K.
    • Y.S. Ong, Artificial Intelligence Technologies in Complex Engineering Design, Ph.D. Dissertation, Sch. Eng. Sci., Univ. Southampton, Southampton, U.K., 2002.
    • (2002) Sch. Eng. Sci., Univ. Southampton
    • Ong, Y.S.1
  • 48
    • 2442474238 scopus 로고    scopus 로고
    • Meta-Lamarckian learning in memetic algorithms
    • Y.S. Ong, and A.J. Keane Meta-Lamarckian learning in memetic algorithms IEEE Trans. Evol. Comput. 8 2004 99 110
    • (2004) IEEE Trans. Evol. Comput. , vol.8 , pp. 99-110
    • Ong, Y.S.1    Keane, A.J.2
  • 49
    • 31744449012 scopus 로고    scopus 로고
    • Classification of adaptive memetic algorithms: A comparative study
    • Y.S. Ong, M.H. Lim, N. Zhu, and K. Wong Classification of adaptive memetic algorithms: a comparative study IEEE Trans. Evol. Comput. 36 2006 141 152
    • (2006) IEEE Trans. Evol. Comput. , vol.36 , pp. 141-152
    • Ong, Y.S.1    Lim, M.H.2    Zhu, N.3    Wong, K.4
  • 50
    • 62549115259 scopus 로고    scopus 로고
    • Special issue on emerging trends in soft computing: Memetic algorithms
    • Y.S. Ong, M.H. Lim, F. Neri, and H. Ishibuchi Special issue on emerging trends in soft computing: memetic algorithms Soft. Comput. 13 2009 739 740
    • (2009) Soft. Comput. , vol.13 , pp. 739-740
    • Ong, Y.S.1    Lim, M.H.2    Neri, F.3    Ishibuchi, H.4
  • 51
    • 33747440759 scopus 로고    scopus 로고
    • Min-max surrogate-assisted evolutionary algorithm for robust aerodynamic design
    • Y.S. Ong, P.B. Nair, and K.Y. Lum Min-max surrogate-assisted evolutionary algorithm for robust aerodynamic design IEEE Trans. Evol. Comput. 10 2006 392 404
    • (2006) IEEE Trans. Evol. Comput. , vol.10 , pp. 392-404
    • Ong, Y.S.1    Nair, P.B.2    Lum, K.Y.3
  • 53
    • 42249084432 scopus 로고    scopus 로고
    • An AM radio receiver designed with a genetic algorithm based on a bacterial conjugation genetic operator
    • C. Perales-Gravan, and R. Lahoz-Beltra An AM radio receiver designed with a genetic algorithm based on a bacterial conjugation genetic operator IEEE Trans. Evol. Comput. 12 2008 129 142
    • (2008) IEEE Trans. Evol. Comput. , vol.12 , pp. 129-142
    • Perales-Gravan, C.1    Lahoz-Beltra, R.2
  • 54
    • 33847647183 scopus 로고    scopus 로고
    • Co-evolving memetic algorithms: A review and progress report
    • J.E. Smith Co-evolving memetic algorithms: a review and progress report IEEE Trans. Syst. Man Cybern. B: Cybern. 37 2007 6 17
    • (2007) IEEE Trans. Syst. Man Cybern. B: Cybern. , vol.37 , pp. 6-17
    • Smith, J.E.1
  • 55
    • 45949088703 scopus 로고    scopus 로고
    • Co-evolving memetic algorithms: A learning approach to robust scalable optimization
    • J.E. Smith Co-evolving memetic algorithms: a learning approach to robust scalable optimization IEEE Congr. Evol. Comput. 1 2003 498 505
    • (2003) IEEE Congr. Evol. Comput. , vol.1 , pp. 498-505
    • Smith, J.E.1
  • 57
    • 84948614406 scopus 로고    scopus 로고
    • A quantum-behaved particle swarm optimization with memetic algorithm and memory for continuous non-linear large scale problems
    • D. Tang, Y. Cai, J. Zhao, and Y. Xue A quantum-behaved particle swarm optimization with memetic algorithm and memory for continuous non-linear large scale problems Inf. Sci. 289 2014 162 189
    • (2014) Inf. Sci. , vol.289 , pp. 162-189
    • Tang, D.1    Cai, Y.2    Zhao, J.3    Xue, Y.4
  • 58
    • 78751621343 scopus 로고    scopus 로고
    • An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms
    • F. Valdez, P. Melin, and O. Castillo An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms Appl. Soft Comput. 11 2011 2625 2632
    • (2011) Appl. Soft Comput. , vol.11 , pp. 2625-2632
    • Valdez, F.1    Melin, P.2    Castillo, O.3
  • 59
    • 84868506362 scopus 로고    scopus 로고
    • Two-stage ensemble memetic algorithm: Function optimization and digital IIR filter design
    • Y. Wang, B. Li, and T. Weise Two-stage ensemble memetic algorithm: function optimization and digital IIR filter design Inf. Sci. 220 2013 408 424
    • (2013) Inf. Sci. , vol.220 , pp. 408-424
    • Wang, Y.1    Li, B.2    Weise, T.3
  • 60
    • 84862815257 scopus 로고    scopus 로고
    • A memetic particle swarm optimization algorithm for multimodal optimization problems
    • H. Wang, I. Moon, S. Yang, and D. Wang A memetic particle swarm optimization algorithm for multimodal optimization problems Inf. Sci. 197 2012 38 52
    • (2012) Inf. Sci. , vol.197 , pp. 38-52
    • Wang, H.1    Moon, I.2    Yang, S.3    Wang, D.4
  • 62
    • 43849111340 scopus 로고    scopus 로고
    • A modified differential evolution algorithm with fitness sharing for power system planning
    • G. Yang, Y. Dong, and K.P. Wong A modified differential evolution algorithm with fitness sharing for power system planning IEEE Trans. Power Syst. 23 2008 514 522
    • (2008) IEEE Trans. Power Syst. , vol.23 , pp. 514-522
    • Yang, G.1    Dong, Y.2    Wong, K.P.3
  • 63
    • 84884291559 scopus 로고    scopus 로고
    • High resolution range-reflectivity estimation of radar targets via compressive sampling and memetic algorithm
    • S. Yang, K. Cheng, M. Wang, D. Xie, and L. Jiao High resolution range-reflectivity estimation of radar targets via compressive sampling and memetic algorithm Inf. Sci. 252 2013 144 156
    • (2013) Inf. Sci. , vol.252 , pp. 144-156
    • Yang, S.1    Cheng, K.2    Wang, M.3    Xie, D.4    Jiao, L.5
  • 64
    • 33847646332 scopus 로고    scopus 로고
    • Wrapper-filter feature selection algorithm using a memetic framework
    • Z. Zhu, Y.S. Ong, and M. Dash Wrapper-filter feature selection algorithm using a memetic framework IEEE Trans. Syst. Man Cybern. 37 2007 70 76
    • (2007) IEEE Trans. Syst. Man Cybern. , vol.37 , pp. 70-76
    • Zhu, Z.1    Ong, Y.S.2    Dash, M.3


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