Cuckoo optimization algorithm via Grey wolf optimizer

版本 1.0.0 (4.7 KB) 作者: Pavel
• COGWO blends cuckoo eggs+migration with wolf moves. • It clusters, spawns variants then refines. • It clamps bounds, caps size, logs best.
0.0
(0)
29.0 次下载
更新时间 2025/9/6

查看许可证

  • COA exploration: Each agent lays eggs within a local radius tied to search-range and egg share; new eggs are sampled around parents, the worst fraction is discarded, and the population is trimmed back to a fixed size.
  • COA migration: The population is clustered into habitats; a focal habitat is chosen by average fitness, and all agents move a controlled step toward its best member with a small random directional deviation.
  • GWO exploitation: Inside each habitat, three leaders (alpha, beta, delta) guide the rest; agents update their positions toward the leaders using time-decreasing influence to intensify search near promising areas.
  • Hybrid loop & constraints: Each iteration evaluates fitness, clusters, migrates, lays eggs and culls, merges and truncates, then applies the GWO update—while positions are clamped to the variable bounds.
  • Convergence tracking: The global best-so-far (strongest alpha across habitats) is updated after the full iteration and logged to produce a monotone convergence curve for minimization.

引用格式

Pavel (2025). Cuckoo optimization algorithm via Grey wolf optimizer (https://ww2.mathworks.cn/matlabcentral/fileexchange/181972-cuckoo-optimization-algorithm-via-grey-wolf-optimizer), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2025a
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!

版本 已发布 发行说明
1.0.0