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.
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更新时间 2025/9/6

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  • 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 (2026). 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: .

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1.0.0