Find solutions and explore competing objectives.
Solve optimization problems with pymoo to obtain candidate solutions, explore objective trade-offs, and select preferred outcomes.
When to use it
Use for optimization, Pareto trade-off analysis, evolutionary algorithms, constraints, benchmarking, visualization, or selection among competing solutions.
Give it an optimization problem; it returns candidate solutions and objective values, with trade-off analysis and visualizations where applicable.
Requires Python 3.10 or newer.
Requires pymoo 0.6.2 and its released-wheel dependencies, which also include alive_progress and Deprecated.
This skill
arXiv
Fetches citation metadata from arXiv
pymoo
Installs pymoo and its dependencies