Multiobjective optimization for point data

Hello, I reviewed prior questions and was not able to find similar questions/answers.

I have sample data for N samples each consisting of 4 parameters. The 1st parameter can be used as the X data and the remaining 3 parameters can be independently treated as Y data. Per an X value range, I'd like to explore the trade-offs between the other parameters. For example, if one goal is to maximize parameter 2 and another goal is to minimize parameter 3, what is the most appropriate methodology for exploring tradeoffs? How can I construct a pareto front from the point data?