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Discover how the AutoResearch framework can automate your machine learning workflows and drastically reduce manual AI training time.

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this talk, I will give a high-level tutorial on graphs of convex sets, with emphasis on their applications in robotics, control, and, more broadly, decision making. Mathematically, a Graph of ...

Is your feature request related to a problem? Please describe. I find it hard to translate the help given in FAQ on Optimization/AD into code that actually performs a parameter optimization. I propose ...

optimizer = optimization.OptimizerGeneric(problem) res = optimizer.optimize(tol=1e-9) producing a merit function value of 0.288. However, on my setup, running: res = optimizer.optimize(tol=1e-6) ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...