Novel global harmony search algorithm for unconstrained problems

Neurocomputing

Volumn 73, Issue 16-18, 2010, Pages 3308-3318

  Zou, Dexuan ^a   Gao, Liqun ^a   Wu, Jianhua ^a   Li, Steven ^b  

^a NORTHEASTERN UNIVERSITY   (China)

^b UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Convergence; Genetic mutation; Harmony search algorithm; Novel global harmony search algorithm; Position updating; Stability

Indexed keywords

CONVERGENCE; CONVERGENCE AND STABILITY; GENETIC MUTATIONS; HARMONY SEARCH; HARMONY SEARCH ALGORITHMS; IMPROVED ALGORITHM; LOCAL OPTIMA; LOW PROBABILITY; POSITION UPDATING;

LEARNING ALGORITHMS;

CONVERGENCE OF NUMERICAL METHODS;

ALGORITHM; ARTICLE; CONTROLLED STUDY; GENE MUTATION; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MEMORY; NOVEL GLOBAL HARMONY SEARCH ALGORITHM; PRIORITY JOURNAL; PROBABILITY; PROBLEM SOLVING; PROCESS OPTIMIZATION; RANK SUM TEST; SIGNAL PROCESSING;

EID: 78649929036     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.07.010     Document Type: Article

References (26)

1. Holland J.H. Adaptation in Natural and Artificial Systems 1975, University of Michigan Press, Ann Arbor, MI.
2. R. Storn, Differential evolution design of an IIR-filter, in: IEEE International Conference on Evolutionary Computation, Nagoya, 1996, pp. 268-273.
3. J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: Proceedings of IEEE International Conference on Neural Networks, 1995, pp. 1942-1948.
4. Dorigo M., Maniezzo V., Golomi A. Ant system: optimization by a colony of cooperating agents. IEEE Transactions on SMC 1996, 26(1):29-41.
5. Kirkpatrick S., Gelatt C., Vecchi M. Optimization by simulated annealing. Science 1983, 220:671-680.
6. Sanchis J., Martanez M.A., Blasco X. Integrated multiobjective optimization and a priori preferences using genetic algorithms. Information Sciences 2008, 178(4):931-951.
7. J.J. Zhang, Y.H. Zhang, R.Z. Gao, Genetic algorithms for optimal design of vehicle suspensions, in: IEEE International Conference on Engineering of Intelligent Systems, 2006, pp. 1-6.
8. Qing A.Y. Dynamic differential evolution strategy and applications in electromagnetic inverse scattering problems. IEEE Transactions on Geoscience and Remote Sensing 2006, 44(1):116-125.
9. J.H.V. Sickel, K.Y. Lee, J.S. Heo, Differential Evolution and its Applications to Power Plant Control, in: International Conference on Intelligent Systems Applications to Power Systems, ISAP, 2007, pp. 1-6.
10. Marinakis Y., Marinaki M., Dounias G. Particle swarm optimization for pap-smear diagnosis. Expert Systems with Applications 2008, 35(4):1645-1656.
11. Sim K.M., Sun W.H. Ant colony optimization for routing and load-balancing: survey and new directions. IEEE Transactions on Systems, Man and Cybernetics, Part A 2003, 33(5):560-572.
12. Serrurier M., Prade H. Improving inductive logic programming by using simulated annealing. Information Sciences 2008, 178(6):1423-1441.
13. Geem Z.W., Kim J.H., Loganathan G.V. A new heuristic optimization algorithm: harmony search. Simulation 2001, 76(2):60-68.
14. Geem Z.W., Kim J.H., Loganathan G.V. Harmony search optimization: application to pipe network design. International Journal of Model Simulation 2002, 22(2):125-133.
15. Z.W. Geem, C.L. Tseng, Y. Park, Harmony search for generalized orienteering problem: best touring in China, in: Springer Lecture Notes in Computer Science, vol. 3412, 2005, pp. 741-750.
16. Kim J.H., Geem Z.W., Kim E.S. Parameter estimation of the nonlinear Muskingum model using harmony search. Journal of American Water Resource Association 2001, 37(5):1131-1138.
17. Lee K.S., Geem Z.W. A new structural optimization method based on the harmony search algorithm. Computer and Structures 2004, 82(9-10):781-798.
18. Mahdavi M., Fesanghary M., Damangir E. An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation 2007, 188(2):1567-1579.
19. Omran M.G.H., Mahdavi M. Global-best harmony search. Applied Mathematics and Computation 2008, 198(2):643-656.
20. Pan Q.K., Suganthan P.N., Tasgetiren M.F., Liang J.J. A self-adaptive global best harmony search algorithm for continuous optimization problems. Applied Mathematics and Computation 2010, 216(3):830-848.
21. Pan Q.K., Suganthan P.N., Liang J.J., Tasgetiren M.F. A local-best harmony search algorithm with dynamic subpopulations. Engineering Optimization 2010, 42(2):101-117.
22. S. Das, A. Mukhopadhyay, A. Roy, A. Abraham, B.K. Panigrahi, Exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (99) (2010) 1-18.
23. Zou D.X., Gao L.Q., Wu J.H., Li S., Li Y. A novel global harmony search algorithm for reliability problems. Computers & Industrial Engineering 2010, 58(2):307-316.
24. P.N. Suganthan, N. Hansen, J.J. Liang, K. Deb, Y.P. Chen, A. Auger, S. Tiwari, Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization, Technical Report, Nanyang Technological University, Singapore, May 2005, KanGAL Report#2005005, IIT Kanpur, India.
25. Wilcoxon F. Individual comparisons by ranking methods. Biometrics 1945, 1:80-83.
26. Mann H.B., Whitney D.R. On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics 1947, 18:50-60.