Adjusting Exploitation and Exploration Rates of Differential Evolution: A Novel Mutation Strategy
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3626-3_16
Reference17 articles.
1. Duan, D., Gong, Y., Huang, T., Zhang, J.: Adaptive clustering-based differential evolution for multimodal optimization. In: 2018 Eighth International Conference on Information Science and Technology (ICIST), pp. 370–376. IEEE (2018)
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3. Huang, T., Duan, D.T., Gong, Y.J., Ye, L., Ng, W.W., Zhang, J.: Concurrent optimization of multiple base learners in neural network ensembles: an adaptive niching differential evolution approach. Neurocomputing 396, 24–38 (2020)
4. Ahmad, M.F., Isa, N.A.M., Lim, W.H., Ang, K.M.: Differential evolution: a recent review based on state-of-the-art works. Alex. Eng. J. 61(5), 3831–3872 (2022)
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