Optienv - Lightweight, simulator‑friendly framework for multi‑objective optimization

Optienv is a lightweight, simulator‑friendly framework for multi‑objective optimization (MOO). It wraps your external models with a simple CSV interface and lets you run evolutionary algorithms—currently NSGA‑II and NSGA‑III—at scale. It focuses on: The source code of Optienv is hosted on the following GitHub Repository.

Contents:

• Optienv: Introduction
  • Design goals
  • Key features
• Installation
  • Requirements
  • Install from PyPI
  • Install for development
  • Smoke tests
• Command Line Interface
  • search
  • front
  • hypervolume
  • version
  • Tips & best practices
• Modules and Architecture (Key Parts)
  • High‑level architecture
  • Core packages
• Tutorials
  • Tutorial: Six‑Objective Toy Optimization
  • Tutorial: Calibrating a Wflow Hydrological Model
• License
• Citation
• Suggested citation
• Acknowledgements