Differential evolution algorithm with ensemble of parameters and mutation strategies

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Mallipeddi, R., et al. “Differential Evolution Algorithm With Ensemble of Parameters and Mutation Strategies”. Applied Soft Computing, vol. 11, no. 2, 2011, pp. 1679-96, https://doi.org/10.1016/j.asoc.2010.04.024.
Mallipeddi, R., Suganthan, P., Pan, Q., & Tasgetiren, M. (2011). Differential evolution algorithm with ensemble of parameters and mutation strategies. Applied Soft Computing, 11(2), 1679-1696. https://doi.org/10.1016/j.asoc.2010.04.024
Mallipeddi, R., P.N. Suganthan, Q.K. Pan, and M.F. Tasgetiren. “Differential Evolution Algorithm With Ensemble of Parameters and Mutation Strategies”. Applied Soft Computing 11, no. 2 (2011): 1679-96. https://doi.org/10.1016/j.asoc.2010.04.024.
Mallipeddi R, Suganthan P, Pan Q, Tasgetiren M. Differential evolution algorithm with ensemble of parameters and mutation strategies. Applied Soft Computing. 2011;11(2):1679-96.
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 60 2009
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Learning to select the recombination operator for derivative-free optimization Science China Mathematics
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Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems

 Complex & Intelligent Systems
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Science: Mathematics: Instruments and machines: Electronic computers. Computer science517
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics269
Technology: Mechanical engineering and machinery245
Technology: Engineering (General). Civil engineering (General)194
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Science: Biology (General)18
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Medicine: Medicine (General): Computer applications to medicine. Medical informatics14
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Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics11
Medicine: Medicine (General): Medical technology10
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Social Sciences1
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Technology: Engineering (General). Civil engineering (General): Environmental engineering1
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The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 517 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled NEAR OPTIMAL ROBUST ADAPTIVE BEAMFORMING APPROACH BASED ON EVOLUTIONARY ALGORITHM and was published in 2011. The most recent citation comes from a 2024 study titled Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis. This article reached its peak citation in 2022, with 84 citations. It has been cited in 232 different journals, 20% of which are open access. Among related journals, the Applied Soft Computing cited this research the most, with 78 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year