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AI tools sought for multi-objective optimization on study data

By PulseAugur Editorial · [1 sources] ·

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.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI tools sought for multi-objective optimization on study data

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/BleakReason ·

    Best current tools for Multi-Objective Surrogate-Based Optimization (MOSBO) on heterogeneous study data meta-analysis?[P]

    <!-- SC_OFF --><div class="md"><p>I'm working on a project with summarized data from ~40 studies (Excel) involving different protocol variables (durations, intensities, recovery times, frequency, total duration, etc.) and response outcomes conditional on a baseline variable (rang…

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