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• W2896521156 abstract "This paper deals with the Success-History based Adaptive Differential Evolution with Linear decrease in population size and Distance based adaptation of control parameters (DbL_SHADE). The algorithm is subject to the analysis of the population clustering via Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The CEC2015 benchmark set in three dimensional settings (10D, 30D and 50D) was used as a testbed for comparison of the population clustering between L-SHADE and DbL_SHADE algorithms and the results are reported and discussed." @default.
• W2896521156 created "2018-10-26" @default.
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• W2896521156 date "2018-07-01" @default.
• W2896521156 modified "2023-09-27" @default.
• W2896521156 title "Cluster Occurrence in the DbL_SHADE Population" @default.
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• W2896521156 doi "https://doi.org/10.1109/cec.2018.8477793" @default.
• W2896521156 hasPublicationYear "2018" @default.
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