Convergence curves of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022(dim = 30).

<p>Convergence curves of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022(dim = 30).</p>

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Bibliographic Details
Main Author:	Qingwen Meng (156386) (author)
Other Authors:	Xi Kuang (378927) (author), Zihan Yu (1918990) (author), Minghui He (805222) (author), Hanzhi Cui (21453181) (author)
Published:	2025
Subjects:	Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified wireless sensor network complex constrained optimization sboa ), aiming prevent ineffective exploration algorithm &# 8217 boxplot results indicate strong overall performance next generation population introduced strategies add faster convergence speed enhance convergence speed engineering optimization problems dimensional multimodal problems wsn deployment scenario asboa performed best performed best convergence speed engineering problems standard sboa exploration phase dimensional case asboa algorithm algorithm falling varying results results show results demonstrate convergence curves wsn problems different problems xlink "> thereby accelerating study develops specific problem solution accuracy significant potential settings according proposed asboa mechanism ensures local optima evaluated using cpo ). coverage rate compression spring certain probability cec2022 20 bar truss also differ 32 %, 30 functions
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