Spider Wasp Optimizer (SWO)

版本 1.1.0 (129.8 KB) 作者: Reda Mohamed
Spider Wasp Optimizer (SWO) is a nature-inspired meta-heuristic algorithm
4.8
(4)
1.4K 次下载
更新时间 2023/3/10
在 GitHub 上查看许可证
Spider Wasp Optimizer (SWO) is a nature-inspired meta-heuristic algorithm, which is based on replicating the hunting, nesting, and mating behaviors of the female spider wasps in nature. This proposed algorithm has various unique updating strategies, making it applicable to a wide range of optimization problems with different exploration and exploitation requirements. The proposed SWO is compared with nine newly published and well-established metaheuristics over four different benchmarks: (1) Standard benchmark, including 23 unimodal and multimodal test functions; (2) test suite of CEC2017, (3) test suite of CEC2020, and (4) test suite of CEC2014 to validate its reliability. Moreover, two classical engineering design problems, namely, welded bean and pressure vessel designs, and parameter estimation of the single-diode, double-diode, and triple-diode photovoltaic models are used to further evaluate the performance of SWO in optimizing real-world optimization problems. Experimental findings demonstrate that SWO is more competitive compared with the state-of-art meta-heuristic methods for four validated benchmarks and superior to all observed real-world optimization problems.
Main paper: Abdel-Basset, M., Mohamed, R., Jameel, M., & Abouhawwash, M. (2023). Spider wasp optimizer: a novel meta-heuristic optimization algorithm. Artificial Intelligence Review.

引用格式

Reda Mohamed (2024). Spider Wasp Optimizer (SWO) (https://github.com/redamohamed8/Spider-Wasp-Optimizer-), GitHub. 检索时间: .

MATLAB 版本兼容性
创建方式 R2022b
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
1.1.0

.
1.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。