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Tabu Search directed by direct search methods for nonlinear global optimization

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  • Hedar, Abdel-Rahman
  • Fukushima, Masao

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  • Hedar, Abdel-Rahman & Fukushima, Masao, 2006. "Tabu Search directed by direct search methods for nonlinear global optimization," European Journal of Operational Research, Elsevier, vol. 170(2), pages 329-349, April.
    • Handle: RePEc:eee:ejores:v:170:y:2006:i:2:p:329-349
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    References listed on IDEAS

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    1. Al-Sultan, K. S. & Al-Fawzan, M. A., 1997. "A tabu search Hooke and Jeeves algorithm for unconstrained optimization," European Journal of Operational Research, Elsevier, vol. 103(1), pages 198-208, November.
    2. Chelouah, Rachid & Siarry, Patrick, 2000. "Tabu Search applied to global optimization," European Journal of Operational Research, Elsevier, vol. 123(2), pages 256-270, June.
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    Cited by:

    1. S.-C. Horng & S.-Y. Lin, 2009. "Ordinal Optimization of G/G/1/K Polling Systems with k-Limited Service Discipline," Journal of Optimization Theory and Applications, Springer, vol. 140(2), pages 213-231, February.
    2. A. Custódio & J. Madeira, 2015. "GLODS: Global and Local Optimization using Direct Search," Journal of Global Optimization, Springer, vol. 62(1), pages 1-28, May.
    3. Abraham Duarte & Rafael Martí & Fred Glover & Francisco Gortazar, 2011. "Hybrid scatter tabu search for unconstrained global optimization," Annals of Operations Research, Springer, vol. 183(1), pages 95-123, March.
    4. Chang-Yong Lee & Dongju Lee, 2014. "Determination of initial temperature in fast simulated annealing," Computational Optimization and Applications, Springer, vol. 58(2), pages 503-522, June.
    5. Gisela C. V. Ramadas & Edite M. G. P. Fernandes & António M. V. Ramadas & Ana Maria A. C. Rocha & M. Fernanda P. Costa, 2018. "On Metaheuristics for Solving the Parameter Estimation Problem in Dynamic Systems: A Comparative Study," Journal of Optimization, Hindawi, vol. 2018, pages 1-21, January.
    6. Naanaa, Anis, 2015. "Fast chaotic optimization algorithm based on spatiotemporal maps for global optimization," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 402-411.
    7. Yin, Peng-Yeng & Glover, Fred & Laguna, Manuel & Zhu, Jia-Xian, 2010. "Cyber Swarm Algorithms - Improving particle swarm optimization using adaptive memory strategies," European Journal of Operational Research, Elsevier, vol. 201(2), pages 377-389, March.
    8. Piotrowski, Adam P. & Napiorkowski, Jaroslaw J. & Kiczko, Adam, 2012. "Differential Evolution algorithm with Separated Groups for multi-dimensional optimization problems," European Journal of Operational Research, Elsevier, vol. 216(1), pages 33-46.
    9. Fei Wei & Yuping Wang & Hongwei Lin, 2014. "A New Filled Function Method with Two Parameters for Global Optimization," Journal of Optimization Theory and Applications, Springer, vol. 163(2), pages 510-527, November.
    10. Tiago Maritan Ugulino Araújo & Lisieux Marie M. S. Andrade & Carlos Magno & Lucídio Anjos Formiga Cabral & Roberto Quirino Nascimento & Cláudio N. Meneses, 2016. "DC-GRASP: directing the search on continuous-GRASP," Journal of Heuristics, Springer, vol. 22(4), pages 365-382, August.
    11. Ivorra, Benjamin & Mohammadi, Bijan & Manuel Ramos, Angel, 2015. "A multi-layer line search method to improve the initialization of optimization algorithms," European Journal of Operational Research, Elsevier, vol. 247(3), pages 711-720.
    12. Hwang Yi & Mi-Jin Kim & Yuri Kim & Sun-Sook Kim & Kyu-In Lee, 2019. "Rapid Simulation of Optimally Responsive Façade during Schematic Design Phases: Use of a New Hybrid Metaheuristic Algorithm," Sustainability, MDPI, vol. 11(9), pages 1-28, May.
    13. Schlereth, Christian & Stepanchuk, Tanja & Skiera, Bernd, 2010. "Optimization and analysis of the profitability of tariff structures with two-part tariffs," European Journal of Operational Research, Elsevier, vol. 206(3), pages 691-701, November.
    14. Hirsch, M.J. & Pardalos, P.M. & Resende, M.G.C., 2010. "Speeding up continuous GRASP," European Journal of Operational Research, Elsevier, vol. 205(3), pages 507-521, September.
    15. Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2011. "A hybrid shuffled complex evolution approach with pattern search for unconstrained optimization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(9), pages 1901-1909.
    16. M. Gaviano & D. Lera & A. Steri, 2010. "A local search method for continuous global optimization," Journal of Global Optimization, Springer, vol. 48(1), pages 73-85, September.
    17. Kazancoglu, Yigit & Sagnak, Muhittin & Mangla, Sachin Kumar & Sezer, Muruvvet Deniz & Pala, Melisa Ozbiltekin, 2021. "A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    18. Hvattum, Lars Magnus & Glover, Fred, 2009. "Finding local optima of high-dimensional functions using direct search methods," European Journal of Operational Research, Elsevier, vol. 195(1), pages 31-45, May.
    19. M. Bierlaire & M. Thémans & N. Zufferey, 2010. "A Heuristic for Nonlinear Global Optimization," INFORMS Journal on Computing, INFORMS, vol. 22(1), pages 59-70, February.
    20. Gouvêa, Érica J.C. & Regis, Rommel G. & Soterroni, Aline C. & Scarabello, Marluce C. & Ramos, Fernando M., 2016. "Global optimization using q-gradients," European Journal of Operational Research, Elsevier, vol. 251(3), pages 727-738.

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