Solving Multi-Objective Constrained Optimisation Problems Using Pymoo

Explore the capabilities of Pymoo, an open-source Python framework for solving constrained single and multi-objective optimization problems, in this 44-minute conference talk from EuroPython 2023. Discover how to leverage Pymoo's object-oriented interface, state-of-the-art algorithms, and extensive customization options to tackle complex optimization challenges. Learn about the framework's post-optimization analysis tools, including visualization of optimal Pareto fronts and decision-making support. Gain insights into additional features such as parallelization and custom sampling techniques that enhance Pymoo's scalability for real-world applications. Understand how this powerful framework can be applied to create efficient and effective optimization solutions across various domains.

Solving Multi-Objective Constrained Optimisation Problems using Pymoo — Pranjal Biyani