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• W2955258001 abstract "Differential evolution (DE) algorithm is a global optimization algorithm over continuous search space. DE also has been applied in many fields, such as artificial neural networks, chemical engineering, mechanical design, robotics, signal processing, biological information, and economics. At the same time, as a powerful evolutionary algorithm for solving global numerical optimization problems, the DE algorithm has drawn more and more attention. However, how to make a proper balance between the global and local search is a burning question and to limit the optimization performance of DE. In this paper, an improved algorithm η_CODE with a new η_Cauchy operator is proposed to enhance the global and local search ability of a well-known DE variant JADE. In order to guarantee the effective performance of the proposed operator, all the fitness values are ranked through a ranking scheme based on increasing order before a new η_Cauchy operator is conducted. The pNP individuals that have better fitness are selected and carried out Cauchy disturbance operation considering the complexity of the algorithm. The Dynamic parameter mechanism is utilized to select pNP individuals that number is also adjusted dynamically in each generation. The scale factor F and crossover probability CR are obtained with Lehmer mean without using determined parameter c in JADE, which aims to balance the exploration and exploitation of the algorithm during the running time. A total of sixty benchmark functions from CEC2014 and CEC2017 on real parameter optimization are employed to prove the validity of η_CODE for solving complex high-dimensional problems. The experiments indicate that η_CODE is better than or at least comparable with several state-of-the-art DE variants, including JADE, SinDE, TSDE, AGDE, and EFADE in the global numerical optimization problems. In order to further analyze the performance of η_CODE, we also select extra two high-powered modified algorithms called EBLSHADE and LSHADESPACMA based on LSHADE to discuss advantages and disadvantages of the proposed algorithm." @default.
• W2955258001 created "2019-07-12" @default.
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• W2955258001 date "2019-01-01" @default.
• W2955258001 modified "2023-09-25" @default.
• W2955258001 title "$eta$ _CODE: A Differential Evolution With $eta$ _Cauchy Operator for Global Numerical Optimization" @default.
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• W2955258001 cites W1974152926 @default.
• W2955258001 cites W1984203973 @default.
• W2955258001 cites W1986089270 @default.
• W2955258001 cites W1994570637 @default.
• W2955258001 cites W1997600725 @default.
• W2955258001 cites W1998608446 @default.
• W2955258001 cites W2016114852 @default.
• W2955258001 cites W2018299061 @default.
• W2955258001 cites W2024092628 @default.
• W2955258001 cites W2026923346 @default.
• W2955258001 cites W2027825959 @default.
• W2955258001 cites W2047893268 @default.
• W2955258001 cites W2049736842 @default.
• W2955258001 cites W2053454544 @default.
• W2955258001 cites W2061706483 @default.
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• W2955258001 cites W2074555546 @default.
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• W2955258001 cites W2102428266 @default.
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• W2955258001 cites W2126018595 @default.
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• W2955258001 cites W2156773695 @default.
• W2955258001 cites W2162145193 @default.
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• W2955258001 cites W2285034650 @default.
• W2955258001 cites W2310891305 @default.
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• W2955258001 doi "https://doi.org/10.1109/access.2019.2926422" @default.
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