A user on Reddit's r/MachineLearning subreddit is seeking recommendations for tools to perform Multi-Objective Surrogate-Based Optimization (MOSBO) on heterogeneous study data. The project involves fitting a continuous response surface from summarized data across approximately 40 studies, with the goal of optimizing for total improvement, improvement per unit time, and improvement per unit effort, while respecting physiological constraints. The user is looking for Colab-friendly Python solutions or any AI tools that can automate this process by uploading spreadsheet data and parameters. AI
IMPACT Identifies a need for AI-driven optimization tools capable of handling complex, multi-objective problems with heterogeneous data.
RANK_REASON User query seeking advice on AI tools for a specific optimization task.
- heterogeneous study data meta-analysis
- Matlab Global Optimization Toolbox
- Mosböck
- Multi-Objective Surrogate-Based Optimization
- PyMC
- pymoo
- pysamoo
- SMT
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