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• W4321793520 startingPage "110130" @default.
• W4321793520 abstract "Because of the problem of the whale optimization algorithm (WOA), such as weak local search ability, easy fall into local optimality, unable to better balance the exploration and exploitation abilities of the algorithm, a whale optimization algorithm with combined mutation and removing similarity (CRWOA) is proposed. Firstly, CRWOA proposed an adaptive adjustment method of the parameters A→ and C→ in the encircling prey stage and an improved bubble net attack update position formula, so that the updated whale is located around the prey, which improves the local search ability of the algorithm. Secondly, a roulette selection operator is proposed to randomly select individuals participating in position updates from the population, which improves the possibility of producing excellent individuals in the random search stage. Thirdly, a combined mutation operator based on individual fitness value is proposed to better balance the exploration and exploitation abilities of the algorithm. Finally, to better maintain the diversity of the population, an improved removing similarity operation is added. In addition, in the first set of experiments, the CEC 2017 benchmark test functions are selected to compare the performance of CRWOA with other group intelligent optimization algorithms. In the second group of experiments, Kapur and Otsu are used as objective functions to perform multilevel threshold segmentation on 10 grayscale images. The experimental results show that CRWOA is better than the five comparison algorithms in terms of convergence and segmentation quality." @default.
• W4321793520 created "2023-02-25" @default.
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• W4321793520 date "2023-04-01" @default.
• W4321793520 modified "2023-10-02" @default.
• W4321793520 title "A whale optimization algorithm with combined mutation and removing similarity for global optimization and multilevel thresholding image segmentation" @default.
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• W4321793520 doi "https://doi.org/10.1016/j.asoc.2023.110130" @default.
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