ACOPF with Pyomo/Pypower/Ipopt
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Updated
Mar 18, 2025 - Python
ACOPF with Pyomo/Pypower/Ipopt
Resolution of an increasingly complex planning problem leveraging different PDDL and HDDL planners to achieve optimal plans
attempts to find optimal solutions of the 100 Hex-a-Hop levels, and it usually succeeds before a time limit!
Dynamic Programming
Optimierung des städtischen Entwässerungsnetzentwurfs mittels Ameisenkolonieoptimierung (Optimizing urban drainage network design using ant colony optimization)
solves "Unblock Me" or "Sliding Cars" sort of puzzles then lets you interact with an animation of the solution
I'll be exploring the easy leetcode and other platform problems and come up with the solution"optimized".
Optimizing engine crankshaft fatigue life using XGBoost
Optimal damper placement in automotive mechanical suspension implemented using Bayesian Optimization (BO) and written in C++
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