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16 December 2022 Crow algorithm based on variation and parameter recurrence
Yifu Chen, Jun Li
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Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 1250068 (2022) https://doi.org/10.1117/12.2662669
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
In order to improve the global search ability and easy to fall into local extrema, we propose a modified crow search algorithm (ISA) based on differential variation perturbation factor and dynamic recurrence rules of model parameters. Introduce the differential variation perturbation factor to accelerate the information exchange and improve the convergence rate, and then introduce the model parameter dynamic recurrence rule to improve the perception probability and flight length to balance the global search and local search. The experimental results of the ablation experiments on two engineering optimization design problems show that the optimization performance of the improved crow search algorithm improves significantly, which proves the effectiveness and correctness of the improved method.
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Yifu Chen and Jun Li "Crow algorithm based on variation and parameter recurrence", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 1250068 (16 December 2022); https://doi.org/10.1117/12.2662669
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KEYWORDS
Optimization (mathematics)
Algorithm development
Evolutionary algorithms
Mathematical modeling
Performance modeling
Data modeling
Control systems
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