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

> genpark-particle-swarm-optimization-pso-skill — alpha-park-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 cognitive/social acceleration, taking in problem definitions and returning optimized solutions. It is particularly useful for problems with multiple local optima, where traditional optimization methods may fail. Inputs include problem definitions and parameters, while outputs are optimized solutions.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-particle-swarm-optimization-pso-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-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/Alpha-Park/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": "alpha-park-genpark-particle-swarm-optimization-pso-skill"
    }
  }
}
```

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

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