Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms
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- Chelouah, Rachid & Siarry, Patrick, 2003. "Genetic and Nelder-Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions," European Journal of Operational Research, Elsevier, vol. 148(2), pages 335-348, July.
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- Hao Zhang & Yan Cui & Hepu Deng & Shuxian Cui & Huijia Mu, 2021. "An Improved Genetic Algorithm for the Optimal Distribution of Fresh Products under Uncertain Demand," Mathematics, MDPI, vol. 9(18), pages 1-18, September.
- Marco Locatelli & Fabio Schoen, 2016. "Global optimization based on local searches," Annals of Operations Research, Springer, vol. 240(1), pages 251-270, May.
- Gomes, J.H.F. & Paiva, A.P. & Costa, S.C. & Balestrassi, P.P. & Paiva, E.J., 2013. "Weighted Multivariate Mean Square Error for processes optimization: A case study on flux-cored arc welding for stainless steel claddings," European Journal of Operational Research, Elsevier, vol. 226(3), pages 522-535.
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Keywords
Global optimization Genetic algorithms Heuristics Low-discrepancy sequences Hybrid methods;Statistics
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