An Improved Hybrid Aquila Optimizer and Pigeon-Inspired Optimization Algorithm with Its Application in PID Parameter Optimization

To improve the optimization performance of the standard Aquila Optimizer (AO), an Improved Hybrid Aquila Optimizer and Pigeon-Inspired Optimization (IHAOPIO) algorithm based on stochastic balancing factor and Dimension-by-dimension Centroid Opposition-Based Learning (DCOBL) strategy is proposed. Wil...

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Veröffentlicht in:	2024 8th International Symposium on Computer Science and Intelligent Control (ISCSIC) S. 367 - 371
Hauptverfasser:	Chen, Dongning, Du, Xinwei, Wang, Haowen, Xian, Qinggui, Sha, Jianhao, Yao, Chengyu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.09.2024
Schlagworte:	Accuracy Aquila Optimizer Benchmark testing Centroid Opposition-based Learning Computer science Intelligent control Optimization PID parameter optimization Pigeon-inspired Optimization Servomotors
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