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A numerical study of some modified differential evolution algorithms

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  • Kaelo, P.
  • Ali, M.M.

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  • Kaelo, P. & Ali, M.M., 2006. "A numerical study of some modified differential evolution algorithms," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1176-1184, March.
    • Handle: RePEc:eee:ejores:v:169:y:2006:i:3:p:1176-1184
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    Cited by:

    1. du Plessis, Mathys C. & Engelbrecht, Andries P., 2012. "Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments," European Journal of Operational Research, Elsevier, vol. 218(1), pages 7-20.
    2. Biswas (Raha), Syamasree & Mandal, Kamal Krishna & Chakraborty, Niladri, 2016. "Pareto-efficient double auction power transactions for economic reactive power dispatch," Applied Energy, Elsevier, vol. 168(C), pages 610-627.
    3. Andreas C. Nearchou & Sotiris L. Omirou, 2024. "Self-Adaptive Biased Differential Evolution for Scheduling Against Common Due Dates," SN Operations Research Forum, Springer, vol. 5(2), pages 1-29, June.
    4. Zio, E. & Viadana, G., 2011. "Optimization of the inspection intervals of a safety system in a nuclear power plant by Multi-Objective Differential Evolution (MODE)," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1552-1563.
    5. Ali, M.M., 2007. "Differential evolution with preferential crossover," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1137-1147, September.
    6. Mohsen Davoodi & Hamed Jafari Kaleybar & Morris Brenna & Dario Zaninelli, 2023. "Energy Management Systems for Smart Electric Railway Networks: A Methodological Review," Sustainability, MDPI, vol. 15(16), pages 1-35, August.
    7. Rashida Adeeb Khanum & Muhammad Asif Jan & Nasser Mansoor Tairan & Wali Khan Mashwani, 2016. "Hybridization of Adaptive Differential Evolution with an Expensive Local Search Method," Journal of Optimization, Hindawi, vol. 2016, pages 1-14, July.
    8. Ali, Musrrat. & Siarry, Patrick & Pant, Millie., 2012. "An efficient Differential Evolution based algorithm for solving multi-objective optimization problems," European Journal of Operational Research, Elsevier, vol. 217(2), pages 404-416.
    9. Andreas C. Nearchou, 2018. "Multicriteria scheduling optimization using an elitist multiobjective population heuristic: the h-NSDE algorithm," Journal of Heuristics, Springer, vol. 24(6), pages 817-851, December.
    10. 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.
    11. M. Ali & W. Zhu, 2013. "A penalty function-based differential evolution algorithm for constrained global optimization," Computational Optimization and Applications, Springer, vol. 54(3), pages 707-739, April.
    12. Pravesh Kumar & Millie Pant, 2018. "Recognition of noise source in multi sounds field by modified random localized based DE algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 245-261, February.
    13. Kaelo, P. & Ali, M.M., 2007. "Integrated crossover rules in real coded genetic algorithms," European Journal of Operational Research, Elsevier, vol. 176(1), pages 60-76, January.
    14. Maysam Safe & Seyed Khazraee & Payam Setoodeh & Abdolhosein Jahanmiri, 2013. "Model reduction and optimization of a reactive dividing wall batch distillation column inspired by response surface methodology and differential evolution," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 19(1), pages 29-50.

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