An enhanced crow search algorithm based on the disturbance method for engineering design problems DOI Creative Commons
Yuqi Fan, Zhihong Peng, Yaping Wang

et al.

AIP Advances, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

To address the shortcomings of basic crow search algorithm (CSA), an enhanced based on disturbance method (DMCSA) is proposed. The CSA has slightly weak exploration and development abilities. fixed flight length causes to conduct intensive searches in small areas, it cannot comprehensive broad entire space. trigonometric function updating strategy adopted obtain a random walk model, so global ability strong DMCSA. In addition, searching operation for detailed local DMCSA, as can simultaneously balance convergence diversity Finally, this paper tests functions multimodal also provides iteration numbers, box plots, paths, radar charts, Wilcoxon rank sum test, graphs, confidence intervals comprehensively show different aspects performance DMCSA functions. experimental results that efficiency reached 100% all high-dimensional Among two-dimensional functions, worst-case was 40%, more than 60% other For application, uses three engineering design problems efficiencies. All excellent balance, good accuracy, wide exploration, high speed.

Language: Английский

An enhanced crow search algorithm based on the disturbance method for engineering design problems DOI Creative Commons
Yuqi Fan, Zhihong Peng, Yaping Wang

et al.

AIP Advances, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

To address the shortcomings of basic crow search algorithm (CSA), an enhanced based on disturbance method (DMCSA) is proposed. The CSA has slightly weak exploration and development abilities. fixed flight length causes to conduct intensive searches in small areas, it cannot comprehensive broad entire space. trigonometric function updating strategy adopted obtain a random walk model, so global ability strong DMCSA. In addition, searching operation for detailed local DMCSA, as can simultaneously balance convergence diversity Finally, this paper tests functions multimodal also provides iteration numbers, box plots, paths, radar charts, Wilcoxon rank sum test, graphs, confidence intervals comprehensively show different aspects performance DMCSA functions. experimental results that efficiency reached 100% all high-dimensional Among two-dimensional functions, worst-case was 40%, more than 60% other For application, uses three engineering design problems efficiencies. All excellent balance, good accuracy, wide exploration, high speed.

Language: Английский

Citations

0