# genpark-particle-swarm-optimization-pso-skill

> genpark-particle-swarm-optimization-pso-skill — alphaparkinc-genpark-particle-swarm-optimization-pso-skill. Use this tool when you need to optimize complex problems in continuous domains, as it solves issues of non-linear optimization and multi-modal functions through Particle Swarm Optimization (PSO) with adaptive inertia weight decay and acceleration. It takes in a problem definition and outputs an optimized solution, making it suitable for applications requiring efficient global optimization. Ideal for use cases where traditional optimization methods fail, such as non-convex or high-dimensional problems.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-particle-swarm-optimization-pso-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-particle-swarm-optimization-pso-skill

## Description

Continuous domain Particle Swarm Optimization (PSO) with inertia weight decay and cognitive/social acceleration.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-particle-swarm-optimization-pso-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-particle-swarm-optimization-pso-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-particle-swarm-optimization-pso-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-particle-swarm-optimization-pso-skill/pull`

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