pso-optimization
CommunityEfficiently optimize with PSO swarm intelligence.
Software Engineering#optimization#hyperparameter-tuning#particle-swarm#pso#gradient-free#global-minimum#swarm-heuristics
Authorlucifertrj
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Particle Swarm Optimization provides a gradient-free method to locate global minima for continuous, non-differentiable, or noisy objectives by coordinating a swarm of candidate solutions.
Core Features & Use Cases
- Minimize black-box objectives without requiring derivatives.
- Hyperparameter tuning for machine learning models and other optimizers.
- Warm-starting local optimizers by seeding with swarm-derived candidates.
- Demonstrations & education of swarm intelligence concepts and convergence behavior.
Quick Start
Run a PSO to minimize a user-provided continuous objective within defined bounds.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pso-optimization Download link: https://github.com/lucifertrj/skills-based-app/archive/main.zip#pso-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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