Fuch mapping-based hybrid improved grey wolf optimization algorithm
An optimization algorithm, the technology of gray wolf, applied in the field of bionic swarm intelligent optimization algorithm, can solve the problems of low convergence accuracy, slow convergence speed, easy to fall into local optimum, etc., to improve the convergence accuracy and improve the effect of strong coupling
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[0041] The following describes the embodiments of the present invention in detail, and the described examples are shown in the accompanying drawings. The following embodiments described with reference to the figures are exemplary, and are intended to explain the present invention, but should not be understood as limiting the present invention.
[0042] Taking the aluminum electrolysis industry as an example, if the traditional gray wolf optimization algorithm predicts the cell voltage of aluminum electrolysis, compared with the improved gray wolf optimization algorithm, the traditional gray wolf optimization algorithm reduces its prediction accuracy. The convergence accuracy of the wolf optimization algorithm is improved. In the traditional gray wolf optimization algorithm, the initial population of gray wolves is usually generated by a random method, which makes the initial population distribution uneven, resulting in poor diversity of the initial population; the convergence fact...
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