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pymoo

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Multi-objective optimization in Python.

Data & Analytics#optimization#NSGA-III#MOEA/D#pymoo#NSGA-II#multi-objective
Authorjackspace
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Pymoo offers a unified interface for solving single- and multi-objective optimization problems, with state-of-the-art algorithms (NSGA-II/III, MOEA/D), constraint handling, and visualization.

Core Features & Use Cases

  • NSGA-II, NSGA-III, MOEA/D for multi-objective optimization
  • Constraint handling, Pareto fronts, and many-objective support
  • Benchmarks (ZDT, DTLZ) and rich visualization options

Quick Start

  • Define a problem, choose an algorithm and termination, call minimize, and inspect result.X and result.F

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: pymoo
Download link: https://github.com/jackspace/ClaudeSkillz/archive/main.zip#pymoo

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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