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Multi-method based algorithm for multi-objective problems under uncertainty.

, , , , и . Inf. Sci., (2019)

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Saber Jafarizadeh

Christoph Sabersky-Müssigbrodt

Hendrik Sabert

Yasmin Saber

Susan Saber-Hamischagi

 

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An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems., , и . IEEE Trans. Ind. Informatics, 9 (1): 89-99 (2013)Proceedings in Adaptation, Learning and Optimization., , и . IES, 5, стр. 357-369. Springer, (2015)Evolutionary Approach for Constrained Optimization.. University of New South Wales, Canberra, Australia, (2012)base-search.net (ftunswworks:oai:unsworks.unsw.edu.au:1959.4/52074).Landscape-assisted multi-operator differential evolution for solving constrained optimization problems., , , и . Expert Syst. Appl., (2020)Multi-method based algorithm for multi-objective problems under uncertainty., , , , и . Inf. Sci., (2019)Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey., , , , , , и . IEEE Access, (2019)Enhanced multi-operator differential evolution for constrained optimization., , и . CEC, стр. 4191-4198. IEEE, (2016)Enhanced Differential Grouping for Large Scale Optimization., , , и . IJCCI, стр. 217-224. SciTePress, (2018)Multi-operator based evolutionary algorithms for solving constrained optimization problems., , и . Comput. Oper. Res., 38 (12): 1877-1896 (2011)A new genetic algorithm for solving optimization problems., , и . Eng. Appl. Artif. Intell., (2014)