alterlab-pymoo
CommunityMulti-objective optimization with Python (Pymoo)
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enable researchers and developers to perform multi-objective optimization in Python using the Pymoo library, providing end-to-end workflows from problem definition to Pareto-front analysis.
Core Features & Use Cases
- Bi- and many-objective optimization support with NSGA-II/NSGA-III, MOEA/D and other algorithms.
- Constraint handling & MCDM workflows for selecting preferred solutions from Pareto fronts.
- Examples & references: a suite of scripts showing single-objective, multi-objective, many-objective problems, and decision-making workflows.
Quick Start
Run an NSGA-II example on a ZDT problem to generate and visualize the Pareto front.
Dependency Matrix
Required Modules
pymoonumpymatplotlib
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: alterlab-pymoo Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-pymoo Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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