메뉴 건너뛰기




Volumn 2, Issue 1, 2010, Pages 69-83

Iterated local search with Powell's method: A memetic algorithm for continuous global optimization

Author keywords

Evolution strategies; Global optimization; Iterated local search; Memetic algorithms; Powell's direct search method

Indexed keywords


EID: 77949298118     PISSN: 18659284     EISSN: 18659292     Source Type: Journal    
DOI: 10.1007/s12293-010-0032-9     Document Type: Article
Times cited : (36)

References (75)
  • 2
    • 0003787146 scopus 로고
    • Princeton: Princeton University Press
    • Bellman R (1957) Dynamic programming. Princeton University Press, Princeton.
    • (1957) Dynamic Programming
    • Bellman, R.1
  • 4
    • 0037592480 scopus 로고    scopus 로고
    • Evolution strategies-a comprehensive introduction
    • Beyer H-G, Schwefel H-P (2002) Evolution strategies-a comprehensive introduction. Nat Comput 1: 3-52.
    • (2002) Nat Comput , vol.1 , pp. 3-52
    • Beyer, H.-G.1    Schwefel, H.-P.2
  • 5
    • 46949084708 scopus 로고    scopus 로고
    • Hybrid metaheuristics: An introduction
    • Springer
    • Blum C, Roli A (2008) Hybrid metaheuristics: an introduction. In: Hybrid Metaheuristics. Springer, pp 1-30.
    • (2008) Hybrid Metaheuristics , pp. 1-30
    • Blum, C.1    Roli, A.2
  • 6
    • 77958398767 scopus 로고
    • The convergence of a class of double-rank minimization algorithms. I: General considerations
    • Broyden CG (1970) The convergence of a class of double-rank minimization algorithms. I: general considerations. J Inst Math 6: 76-90.
    • (1970) J Inst Math , vol.6 , pp. 76-90
    • Broyden, C.G.1
  • 8
    • 4043052940 scopus 로고    scopus 로고
    • On restart procedures for the conjugate gradient method
    • Dai Y-H, Liao L-Z, Li D (2004) On restart procedures for the conjugate gradient method. Numer Algorithms 35(1-4): 249-260.
    • (2004) Numer Algorithms , vol.35 , Issue.1-4 , pp. 249-260
    • Dai, Y.-H.1    Liao, L.-Z.2    Li, D.3
  • 9
    • 65749094710 scopus 로고    scopus 로고
    • Differential evolution using a neighborhood-based mutation operator
    • Das S, Abraham A, Chakraborty UK, Konar A (2009) Differential evolution using a neighborhood-based mutation operator. IEEE Trans Evol Comput 13(3): 526-553.
    • (2009) IEEE Trans Evol Comput , vol.13 , Issue.3 , pp. 526-553
    • Das, S.1    Abraham, A.2    Chakraborty, U.K.3    Konar, A.4
  • 10
    • 84964389892 scopus 로고
    • Variable metric methods for minimization
    • Davidon W (1991) Variable metric methods for minimization. SIAM J Optim 1: 1-17.
    • (1991) SIAM J Optim , vol.1 , pp. 1-17
    • Davidon, W.1
  • 11
    • 0036885602 scopus 로고    scopus 로고
    • A computationally efficient evolutionary algorithm for real-parameter optimization
    • Deb K, Anand A, Joshi D (2002) A computationally efficient evolutionary algorithm for real-parameter optimization. Evol Comput 10(4): 371-395.
    • (2002) Evol Comput , vol.10 , Issue.4 , pp. 371-395
    • Deb, K.1    Anand, A.2    Joshi, D.3
  • 12
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. Evol Comput IEEE Trans 6(2): 182-197.
    • (2002) Evol Comput IEEE Trans , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 13
    • 38149013973 scopus 로고    scopus 로고
    • A hybrid ILS heuristic to the referee assignment problem with an embedded MIP strategy
    • Duarte AR, Ribeiro CC, Urrutia S (2007) A hybrid ILS heuristic to the referee assignment problem with an embedded MIP strategy. In: Hybrid Metaheuristics, pp 82-95.
    • (2007) Hybrid Metaheuristics , pp. 82-95
    • Duarte, A.R.1    Ribeiro, C.C.2    Urrutia, S.3
  • 15
    • 38149094085 scopus 로고    scopus 로고
    • Gradient-based/evolutionary relay hybrid for computing pareto front approximations maximizing the S-metric
    • Emmerich MTM, Deutz AH, Beume N (2007) Gradient-based/evolutionary relay hybrid for computing pareto front approximations maximizing the S-metric. In: Hybrid Metaheuristics, pp 140-156.
    • (2007) Hybrid Metaheuristics , pp. 140-156
    • Emmerich, M.T.M.1    Deutz, A.H.2    Beume, N.3
  • 17
    • 0000350932 scopus 로고    scopus 로고
    • Steepest descent methods for multicriteria optimization
    • Fliege J, Svaiter B (2000) Steepest descent methods for multicriteria optimization. Math Methods of Oper Res 51(3): 479-494.
    • (2000) Math Methods of Oper Res , vol.51 , Issue.3 , pp. 479-494
    • Fliege, J.1    Svaiter, B.2
  • 19
    • 70349270458 scopus 로고    scopus 로고
    • A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: A case study on the CEC'2005 special session on real parameter optimization
    • García S, Molina D, Lozano M, Herrera F (2009) A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization. Journal of Heuristics 15: 617-644.
    • (2009) Journal of Heuristics , vol.15 , pp. 617-644
    • García, S.1    Molina, D.2    Lozano, M.3    Herrera, F.4
  • 20
    • 0041877685 scopus 로고    scopus 로고
    • Qualms regarding the optimality of cumulative path length control in CSA/CMA-evolution strategies
    • Beyer HG, Arnold DV (2003) Qualms regarding the optimality of cumulative path length control in CSA/CMA-evolution strategies. Evol Comput 11(1): 19-28.
    • (2003) Evol Comput , vol.11 , Issue.1 , pp. 19-28
    • Beyer, H.G.1    Arnold, D.V.2
  • 21
    • 0004215426 scopus 로고    scopus 로고
    • Boston: Kluwer Academic Publishers
    • Glover F, Laguna M (1997) Tabu search. Kluwer Academic Publishers, Boston.
    • (1997) Tabu Search
    • Glover, F.1    Laguna, M.2
  • 22
    • 0019563313 scopus 로고
    • Generalized decent for global optimization
    • Griewank A (1981) Generalized decent for global optimization. JOTA 34: 11-39.
    • (1981) Jota , vol.34 , pp. 11-39
    • Griewank, A.1
  • 23
    • 65149101767 scopus 로고    scopus 로고
    • A selection of useful theoretical tools for the design and analysis of optimization heuristics
    • Gutin G, Karapetyan D (2009) A selection of useful theoretical tools for the design and analysis of optimization heuristics. Memet Comput 1(1): 25-34.
    • (2009) Memet Comput , vol.1 , Issue.1 , pp. 25-34
    • Gutin, G.1    Karapetyan, D.2
  • 24
    • 0005698377 scopus 로고    scopus 로고
    • Two-loop real-coded genetic algorithms with adaptive control of mutation step sizes
    • Herrera F, Lozano M (2000) Two-loop real-coded genetic algorithms with adaptive control of mutation step sizes. Appl Intell 13(3): 187-204.
    • (2000) Appl Intell , vol.13 , Issue.3 , pp. 187-204
    • Herrera, F.1    Lozano, M.2
  • 25
    • 0032136585 scopus 로고    scopus 로고
    • Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
    • Herrera F, Lozano M, Verdegay JL (1998) Tackling real-coded genetic algorithms: operators and tools for behavioural analysis. Artif Intell Rev 12: 265-319.
    • (1998) Artif Intell Rev , vol.12 , pp. 265-319
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 32
    • 85028631729 scopus 로고    scopus 로고
    • Fast blackbox optimization: Iterated local search and the strategy of powell
    • CSREA Press
    • Kramer O (2009) Fast blackbox optimization: iterated local search and the strategy of powell. In: Proceedings of GEM 2009. CSREA Press, pp 159-163.
    • (2009) Proceedings of GEM 2009 , pp. 159-163
    • Kramer, O.1
  • 33
    • 0001173632 scopus 로고
    • An automatic method of solving discrete programming problems
    • Land AH, Doig AG (1960) An automatic method of solving discrete programming problems. Econometrica 28(3): 497-520.
    • (1960) Econometrica , vol.28 , Issue.3 , pp. 497-520
    • Land, A.H.1    Doig, A.G.2
  • 34
    • 77951287415 scopus 로고    scopus 로고
    • Lamarckian memetic algorithms: Local optimum and connectivity structure analysis
    • Le MN, Ong Y-S, Jin Y, Sendhoff B (2009) Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memet Comput 1(3): 175-190.
    • (2009) Memet Comput , vol.1 , Issue.3 , pp. 175-190
    • Le, M.N.1    Ong, Y.-S.2    Jin, Y.3    Sendhoff, B.4
  • 35
    • 0034545694 scopus 로고    scopus 로고
    • Direct search methods: Then and now
    • Lewis R, Torczon V, Trosset M (2000) Direct search methods: then and now. J Comput Appl Math 124(1-2): 191-207.
    • (2000) J Comput Appl Math , vol.124 , Issue.1-2 , pp. 191-207
    • Lewis, R.1    Torczon, V.2    Trosset, M.3
  • 36
    • 33744730797 scopus 로고    scopus 로고
    • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
    • Liang JJ, Qin AK, Suganthan PN, Baskar S (2006) Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. Evol Comput IEEE Trans 10(3): 281-295.
    • (2006) Evol Comput IEEE Trans , vol.10 , Issue.3 , pp. 281-295
    • Liang, J.J.1    Qin, A.K.2    Suganthan, P.N.3    Baskar, S.4
  • 39
    • 4544245255 scopus 로고    scopus 로고
    • Real-coded memetic algorithms with crossover hill-climbing
    • Lozano M, Herrera F, Krasnogor N, Molina D (2004) Real-coded memetic algorithms with crossover hill-climbing. Evol Comput 12(3): 273-302.
    • (2004) Evol Comput , vol.12 , Issue.3 , pp. 273-302
    • Lozano, M.1    Herrera, F.2    Krasnogor, N.3    Molina, D.4
  • 41
    • 33749832660 scopus 로고    scopus 로고
    • Evolutionary optimization of sequence kernels for detection of bacterial gene starts
    • Mersch B, Glasmachers T, Meinicke P, Igel C (2006) Evolutionary optimization of sequence kernels for detection of bacterial gene starts. In: ICANN (2), pp 827-836.
    • (2006) ICANN , Issue.2 , pp. 827-836
    • Mersch, B.1    Glasmachers, T.2    Meinicke, P.3    Igel, C.4
  • 42
    • 38049042173 scopus 로고    scopus 로고
    • Self-adaptation in evolutionary algorithms
    • F. G. Lobo, C. F. Lima, and Z. Michalewicz (Eds.), Berlin: Springer
    • Meyer-Nieberg S, Beyer H-G (2007) Self-adaptation in evolutionary algorithms. In: Lobo FG, Lima CF, Michalewicz Z (eds) Parameter setting in evolutionary algorithms. Springer, Berlin.
    • (2007) Parameter Setting in Evolutionary Algorithms
    • Meyer-Nieberg, S.1    Beyer, H.-G.2
  • 43
    • 44649168278 scopus 로고    scopus 로고
    • General variable neighborhood search for the continuous optimization
    • Mladenovic N, Drazic M, Kovacevic-Vujcic V, Cangalovic M (2008) General variable neighborhood search for the continuous optimization. Eur J Oper Res 191(3): 753-770.
    • (2008) Eur J Oper Res , vol.191 , Issue.3 , pp. 753-770
    • Mladenovic, N.1    Drazic, M.2    Kovacevic-Vujcic, V.3    Cangalovic, M.4
  • 44
    • 0031281221 scopus 로고    scopus 로고
    • Variable neighborhood search
    • Mladenovic N, Hansen P (1997) Variable neighborhood search. Comput Oper Res 24: 1097-1100.
    • (1997) Comput Oper Res , vol.24 , pp. 1097-1100
    • Mladenovic, N.1    Hansen, P.2
  • 45
    • 0000238336 scopus 로고
    • A simplex method for function minimization
    • Nelder J, Mead R (1964) A simplex method for function minimization. Comput J 7: 308-313.
    • (1964) Comput J , vol.7 , pp. 308-313
    • Nelder, J.1    Mead, R.2
  • 46
    • 65649109765 scopus 로고    scopus 로고
    • Scale factor local search in differential evolution
    • Neri F, Tirronen V (2009) Scale factor local search in differential evolution. Memet Comput 1(2): 153-171.
    • (2009) Memet Comput , vol.1 , Issue.2 , pp. 153-171
    • Neri, F.1    Tirronen, V.2
  • 48
    • 40249090398 scopus 로고    scopus 로고
    • Accelerating differential evolution using an adaptive local search
    • Noman N, Iba H (2008) Accelerating differential evolution using an adaptive local search. IEEE Trans Evol Comput 12(1): 107-125.
    • (2008) IEEE Trans Evol Comput , vol.12 , Issue.1 , pp. 107-125
    • Noman, N.1    Iba, H.2
  • 49
    • 2442474238 scopus 로고    scopus 로고
    • Meta-lamarckian learning in memetic algorithms
    • Ong Y-S, Keane AJ (2004) Meta-lamarckian learning in memetic algorithms. IEEE Trans Evol Comput 8(2): 99-110.
    • (2004) IEEE Trans Evol Comput , vol.8 , Issue.2 , pp. 99-110
    • Ong, Y.-S.1    Keane, A.J.2
  • 50
    • 31744449012 scopus 로고    scopus 로고
    • Classification of adaptive memetic algorithms: A comparative study
    • Man, and Cybernetics, part b: Cybernetics
    • Ong Y-S, Lim M-H, Zhu N, Wong K-W (2006) Classification of adaptive memetic algorithms: a comparative study. IEEE Transactions on Systems, Man, and Cybernetics, part b: Cybernetics 36(1).
    • (2006) IEEE Transactions on Systems , vol.36 , Issue.1
    • Ong, Y.-S.1    Lim, M.-H.2    Zhu, N.3    Wong, K.-W.4
  • 51
    • 0000141534 scopus 로고
    • A derandomized approach to self adaptation of evolution strategies
    • Ostermeier A, Gawelczyk A, Hansen N (1994) A derandomized approach to self adaptation of evolution strategies. Evol Comput 2(4): 369-380.
    • (1994) Evol Comput , vol.2 , Issue.4 , pp. 369-380
    • Ostermeier, A.1    Gawelczyk, A.2    Hansen, N.3
  • 52
    • 0000141534 scopus 로고
    • A derandomized approach to self adaptation of evolution strategies
    • Ostermeier A, Gawelczyk A, Hansen N (1995) A derandomized approach to self adaptation of evolution strategies. Evol Comput 2(4): 369-380.
    • (1995) Evol Comput , vol.2 , Issue.4 , pp. 369-380
    • Ostermeier, A.1    Gawelczyk, A.2    Hansen, N.3
  • 54
    • 0001008029 scopus 로고
    • An efficient method for finding the minimum of a function of several variables without calculating derivatives
    • Powell M (1964) An efficient method for finding the minimum of a function of several variables without calculating derivatives. Comput J 7(2): 155-162.
    • (1964) Comput J , vol.7 , Issue.2 , pp. 155-162
    • Powell, M.1
  • 55
    • 33846446220 scopus 로고
    • Restart procedures for the conjugate gradient method
    • Powell MJD (1977) Restart procedures for the conjugate gradient method. Math Program V12(1): 241-254.
    • (1977) Math Program , vol.V12 , Issue.1 , pp. 241-254
    • Powell, M.J.D.1
  • 57
    • 59649083826 scopus 로고    scopus 로고
    • Differential evolution algorithm with strategy adaptation for global numerical optimization
    • Qin AK, Huang VL, Suganthan PN (2009) Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evol Comput 13(2): 398-417.
    • (2009) IEEE Trans Evol Comput , vol.13 , Issue.2 , pp. 398-417
    • Qin, A.K.1    Huang, V.L.2    Suganthan, P.N.3
  • 58
    • 33750076966 scopus 로고    scopus 로고
    • A unified view on hybrid metaheuristics
    • In: Almeida F, Aguilera MJB, Blum C (eds), Springer
    • Raidl GR (2006) A unified view on hybrid metaheuristics. In: Almeida F, Aguilera MJB, Blum C (eds) Hybrid Metaheuristics, Lecture Notes in Computer Science vol. 4030. Springer, pp 1-12.
    • (2006) Hybrid Metaheuristics, Lecture Notes in Computer Science , vol.4030 , pp. 1-12
    • Raidl, G.R.1
  • 60
    • 0001723141 scopus 로고
    • An automatic method for finding the greatest or least value of a function
    • Rosenbrock H (1960) An automatic method for finding the greatest or least value of a function. Comput J 3(3): 175-184.
    • (1960) Comput J , vol.3 , Issue.3 , pp. 175-184
    • Rosenbrock, H.1
  • 61
    • 67649280613 scopus 로고    scopus 로고
    • Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators
    • Sánchez AM, Lozano M, Villar P, Herrera F (2009) Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: combining neighborhood-based crossover operators. Int J Intell Syst 24(5): 540-567.
    • (2009) Int J Intell Syst , vol.24 , Issue.5 , pp. 540-567
    • Sánchez, A.M.1    Lozano, M.2    Villar, P.3    Herrera, F.4
  • 65
    • 38049028246 scopus 로고    scopus 로고
    • Gradient based stochastic mutation operators in evolutionary multi-objective optimization
    • Shukla PK (2007) Gradient based stochastic mutation operators in evolutionary multi-objective optimization. In: Adaptive and natural computing algorithms, pp 58-66.
    • (2007) Adaptive and Natural Computing Algorithms , pp. 58-66
    • Shukla, P.K.1
  • 68
    • 38149044386 scopus 로고    scopus 로고
    • Analyzing the run-time behaviour of iterated local search for the TSP
    • Kluwer Academic Publishers
    • Stützle T, Hoos HH (1999) Analyzing the run-time behaviour of iterated local search for the TSP. In: III Metaheuristics international conference. Kluwer Academic Publishers.
    • (1999) III Metaheuristics International Conference
    • Stützle, T.1    Hoos, H.H.2
  • 69
    • 33747014280 scopus 로고    scopus 로고
    • Iterated local search for the quadratic assignment problem
    • Stutzle T (2006) Iterated local search for the quadratic assignment problem. Eur J Oper Res 174(3): 1519-1539.
    • (2006) Eur J Oper Res , vol.174 , Issue.3 , pp. 1519-1539
    • Stutzle, T.1
  • 71
    • 0036723306 scopus 로고    scopus 로고
    • A taxonomy of hybrid metaheuristics
    • Talbi E-G (2002) A taxonomy of hybrid metaheuristics. J Heuristics 8(5): 541-564.
    • (2002) J Heuristics , vol.8 , Issue.5 , pp. 541-564
    • Talbi, E.-G.1
  • 72
    • 79251627173 scopus 로고    scopus 로고
    • Selecting survivors in genetic algorithm using tabu search strategies
    • Ting C-K, Ko C-F, Huang C-H (2009) Selecting survivors in genetic algorithm using tabu search strategies. Memet Comput 1(3): 191-203.
    • (2009) Memet Comput , vol.1 , Issue.3 , pp. 191-203
    • Ting, C.-K.1    Ko, C.-F.2    Huang, C.-H.3
  • 73
    • 33845871194 scopus 로고    scopus 로고
    • Solving the unconstrained optimization problem by a variable neighborhood search
    • Toksari MD, Güner E (2007) Solving the unconstrained optimization problem by a variable neighborhood search. J Math Anal Appl 328(2): 1178-1187.
    • (2007) J Math Anal Appl , vol.328 , Issue.2 , pp. 1178-1187
    • Toksari, M.D.1    Güner, E.2
  • 74
    • 67149144879 scopus 로고    scopus 로고
    • Self-adaptive multimethod search for global optimization in real-parameter spaces
    • Vrugt JA, Robinson BA, Hyman JM (2009) Self-adaptive multimethod search for global optimization in real-parameter spaces. IEEE Trans Evol Comput 13(2): 243-259.
    • (2009) IEEE Trans Evol Comput , vol.13 , Issue.2 , pp. 243-259
    • Vrugt, J.A.1    Robinson, B.A.2    Hyman, J.M.3
  • 75
    • 65149101154 scopus 로고    scopus 로고
    • Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization
    • Yu X, Tang K, Chen T, Yao X (2009) Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. Memet Comput 1(1): 3-24.
    • (2009) Memet Comput , vol.1 , Issue.1 , pp. 3-24
    • Yu, X.1    Tang, K.2    Chen, T.3    Yao, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.