메뉴 건너뛰기




Volumn 42, Issue 4, 2015, Pages 2026-2035

Island-based harmony search for optimization problems

Author keywords

Diversity; Harmony search; Island model; Structured population

Indexed keywords

BENCHMARKING; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; HYDRAULIC STRUCTURES; OPTIMIZATION; SENSITIVITY ANALYSIS;

EID: 84910606138     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.10.008     Document Type: Article
Times cited : (71)

References (55)
  • 3
    • 84857412685 scopus 로고    scopus 로고
    • A harmony search algorithm for university course timetabling
    • Al-Betar, M. A., & Khader, A. T. (2012). A harmony search algorithm for university course timetabling. Annals of Operations Research, 194(1), 3-31.
    • (2012) Annals of Operations Research , vol.194 , Issue.1 , pp. 3-31
    • Al-Betar, M.A.1    Khader, A.T.2
  • 5
    • 84904190603 scopus 로고    scopus 로고
    • Memetic techniques for examination timetabling
    • Al-Betar, M. A., Khader, A. T., & Doush, I. A. (2014). Memetic techniques for examination timetabling. Annals OR, 218(1), 23-50.
    • (2014) Annals OR , vol.218 , Issue.1 , pp. 23-50
    • Al-Betar, M.A.1    Khader, A.T.2    Doush, I.A.3
  • 8
    • 79956120864 scopus 로고    scopus 로고
    • The variants of the harmony search algorithm: An overview
    • Alia, O., & Mandava, R. (2011). The variants of the harmony search algorithm: an overview. Artificial Intelligence Review, 36(1), 49-68.
    • (2011) Artificial Intelligence Review , vol.36 , Issue.1 , pp. 49-68
    • Alia, O.1    Mandava, R.2
  • 10
    • 79961021075 scopus 로고    scopus 로고
    • Diversity through multiculturality: Assessing migrant choice policies in an island model
    • Araujo, L., & Merelo, J. J. (2011). Diversity through multiculturality: Assessing migrant choice policies in an island model. IEEE Transactions on Evolutionary Computation, 15(4), 456-469.
    • (2011) IEEE Transactions on Evolutionary Computation , vol.15 , Issue.4 , pp. 456-469
    • Araujo, L.1    Merelo, J.J.2
  • 11
    • 27144539455 scopus 로고    scopus 로고
    • Performance evaluation of an advanced local search evolutionary algorithm
    • IEEE
    • Auger, A., & Hansen, N. (2005a). Performance evaluation of an advanced local search evolutionary algorithm. The 2005 IEEE congress on evolutionary computation (CEC'2005) (Vol. 2, pp. 1777-1784). IEEE.
    • (2005) The 2005 IEEE Congress on Evolutionary Computation (CEC'2005) , vol.2 , pp. 1777-1784
    • Auger, A.1    Hansen, N.2
  • 15
    • 84869062841 scopus 로고    scopus 로고
    • Office-space-allocation problem using harmony search algorithm
    • T. Huang, Z. Zeng, C. Li, & C. Leung (Eds.), Neural Information Processing. Berlin Heidelberg: Springer
    • Awadallah, M., Khader, A., Al-Betar, M., & Woon, P. (2012). Office-space-allocation problem using harmony search algorithm. In T. Huang, Z. Zeng, C. Li, & C. Leung (Eds.), Neural information processing. Lecture notes in computer science (Vol. 7664, pp. 365-374). Berlin Heidelberg: Springer.
    • (2012) Lecture Notes in Computer Science , vol.7664 , pp. 365-374
    • Awadallah, M.1    Khader, A.2    Al-Betar, M.3    Woon, P.4
  • 23
    • 41949119615 scopus 로고    scopus 로고
    • Novel derivative of harmony search algorithm for discrete design variables
    • Geem, Z. W. (2008). Novel derivative of harmony search algorithm for discrete design variables. Applied Mathematics and Computation, 199(1), 223-230.
    • (2008) Applied Mathematics and Computation , vol.199 , Issue.1 , pp. 223-230
    • Geem, Z.W.1
  • 24
    • 0034974417 scopus 로고    scopus 로고
    • A new heuristic optimization algorithm: Harmony search
    • Geem, Z. W., Kim, J.-H., & Loganathan, G. V. (2001). A new heuristic optimization algorithm: Harmony search. Simulation, 76(2), 60-68.
    • (2001) Simulation , vol.76 , Issue.2 , pp. 60-68
    • Geem, Z.W.1    Kim, J.-H.2    Loganathan, G.V.3
  • 25
    • 78649988837 scopus 로고    scopus 로고
    • Parameter-setting-free harmony search algorithm
    • Geem, Z. W., & Sim, K.-B. (2010). Parameter-setting-free harmony search algorithm. Applied Mathematics and Computation, 217(8), 3881-3889.
    • (2010) Applied Mathematics and Computation , vol.217 , Issue.8 , pp. 3881-3889
    • Geem, Z.W.1    Sim, K.-B.2
  • 26
    • 84893838843 scopus 로고    scopus 로고
    • Harmony search and nature-inspired algorithms for engineering optimization
    • Geem, Z. W., Yang, X.-S., & Tseng, C.-L. (2013). Harmony search and nature-inspired algorithms for engineering optimization. Journal of Applied Mathematics, 2013.
    • (2013) Journal of Applied Mathematics , vol.2013
    • Geem, Z.W.1    Yang, X.-S.2    Tseng, C.-L.3
  • 27
    • 84878287136 scopus 로고    scopus 로고
    • Shape optimization of structures for frequency constraints by sequential harmony search algorithm
    • Gholizadeh, S., & Barzegar, A. (2013). Shape optimization of structures for frequency constraints by sequential harmony search algorithm. Engineering Optimization, 45(6), 627-646.
    • (2013) Engineering Optimization , vol.45 , Issue.6 , pp. 627-646
    • Gholizadeh, S.1    Barzegar, A.2
  • 29
    • 84872855120 scopus 로고    scopus 로고
    • A multi-objective grouping harmony search algorithm for the optimal distribution of 24-hour medical emergency units
    • Landa-Torres, I., Manjarres, D., Salcedo-Sanz, S., Del Ser, J., & Gil-Lopez, S. (2013). A multi-objective grouping harmony search algorithm for the optimal distribution of 24-hour medical emergency units. Expert Systems with Applications, 40(6), 2343-2349.
    • (2013) Expert Systems with Applications , vol.40 , Issue.6 , pp. 2343-2349
    • Landa-Torres, I.1    Manjarres, D.2    Salcedo-Sanz, S.3    Del Ser, J.4    Gil-Lopez, S.5
  • 32
    • 34248141625 scopus 로고    scopus 로고
    • An improved harmony search algorithm for solving optimization problems
    • Mahdavi, M., Fesanghary, M., & Damangir, E. (2007). An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation, 188(2), 1567-1579.
    • (2007) Applied Mathematics and Computation , vol.188 , Issue.2 , pp. 1567-1579
    • Mahdavi, M.1    Fesanghary, M.2    Damangir, E.3
  • 33
    • 84897771352 scopus 로고    scopus 로고
    • An enhanced harmony search algorithm for optimum design of side sway steel frames
    • Maheri, M. R., & Narimani, M. (2014). An enhanced harmony search algorithm for optimum design of side sway steel frames. Computers & Structures, 136, 78-89.
    • (2014) Computers & Structures , vol.136 , pp. 78-89
    • Maheri, M.R.1    Narimani, M.2
  • 35
    • 84878606095 scopus 로고    scopus 로고
    • An island model based ant system with lookahead for the shortest supersequence problem
    • Springer
    • Michel, R., & Middendorf, M. (1998). An island model based ant system with lookahead for the shortest supersequence problem. In Parallel problem solving from nature PPSN V (pp. 692-701). Springer.
    • (1998) Parallel Problem Solving from Nature PPSN V , pp. 692-701
    • Michel, R.1    Middendorf, M.2
  • 37
    • 85030449301 scopus 로고
    • Parallel genetic algorithms, population genetics and combinatorial optimization
    • J. Becker, I. Eisele, & F. Mundemann (Eds.), Parallelism, Learning, Evolution. Berlin Heidelberg: Springer
    • Muhlenbein, H. (1991). Parallel genetic algorithms, population genetics and combinatorial optimization. In J. Becker, I. Eisele, & F. Mundemann (Eds.), Parallelism, learning, evolution. Lecture notes in computer science (Vol. 565, pp. 398-406). Berlin Heidelberg: Springer.
    • (1991) Lecture Notes in Computer Science , vol.565 , pp. 398-406
    • Muhlenbein, H.1
  • 38
    • 77951136650 scopus 로고    scopus 로고
    • A local-best harmony search algorithm with dynamic subpopulations
    • Pan, Q.-K., Suganthan, P., Liang, J., & Tasgetiren, M. F. (2010). A local-best harmony search algorithm with dynamic subpopulations. Engineering Optimization, 42(2), 101-117.
    • (2010) Engineering Optimization , vol.42 , Issue.2 , pp. 101-117
    • Pan, Q.-K.1    Suganthan, P.2    Liang, J.3    Tasgetiren, M.F.4
  • 39
    • 34547333937 scopus 로고    scopus 로고
    • Real-parameter optimization using the mutation step co-evolution
    • IEEE
    • Posik, P. (2005). Real-parameter optimization using the mutation step co-evolution. The 2005 IEEE congress on evolutionary computation (CEC'2005) (Vol. 1, pp. 872-879). IEEE.
    • (2005) The 2005 IEEE Congress on Evolutionary Computation (CEC'2005) , vol.1 , pp. 872-879
    • Posik, P.1
  • 44
    • 77956875590 scopus 로고    scopus 로고
    • On the impact of the migration topology on the island model
    • Ruciński, M., Izzo, D., & Biscani, F. (2010). On the impact of the migration topology on the island model. Parallel Computing, 36(10), 555-571.
    • (2010) Parallel Computing , vol.36 , Issue.10 , pp. 555-571
    • Ruciński, M.1    Izzo, D.2    Biscani, F.3
  • 47
    • 24344468635 scopus 로고    scopus 로고
    • Improving evolutionary algorithms with multi-representation island models
    • Springer
    • Skolicki, Z., & De Jong, K. (2004). Improving evolutionary algorithms with multi-representation island models. In Parallel problem solving from nature-PPSN VIII (pp. 420-429). Springer.
    • (2004) Parallel Problem Solving from Nature-PPSN VIII , pp. 420-429
    • Skolicki, Z.1    De Jong, K.2
  • 50
    • 84910601525 scopus 로고    scopus 로고
    • Island model based differential evolution algorithm for neural network training
    • Thein, H. T. T. (2014). Island model based differential evolution algorithm for neural network training. Advances in Computer Science: An International Journal, 3(1), 67-73.
    • (2014) Advances in Computer Science: An International Journal , vol.3 , Issue.1 , pp. 67-73
    • Thein, H.T.T.1
  • 52
    • 84949189944 scopus 로고    scopus 로고
    • Island model genetic algorithms and linearly separable problems
    • Springer
    • Whitley, D., Rana, S., & Heckendorn, R. B. (1997). Island model genetic algorithms and linearly separable problems. In Evolutionary computing (pp. 109-125). Springer.
    • (1997) Evolutionary Computing , pp. 109-125
    • Whitley, D.1    Rana, S.2    Heckendorn, R.B.3
  • 54
    • 27144452525 scopus 로고    scopus 로고
    • Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA
    • IEEE
    • Yuan, B., & Gallagher, M. (2005). Experimental results for the special session on real-parameter optimization at CEC 2005: A simple, continuous EDA. The 2005 IEEE congress on evolutionary computation (CEC'2005) (Vol. 2, pp. 1792-1799). IEEE.
    • (2005) The 2005 IEEE Congress on Evolutionary Computation (CEC'2005) , vol.2 , pp. 1792-1799
    • Yuan, B.1    Gallagher, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.