ROS wrapper for SMAC, a versatile tool for optimizing algorithm parameters
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Updated
Jul 19, 2021 - Python
ROS wrapper for SMAC, a versatile tool for optimizing algorithm parameters
🎈 Twiddle Algorithm for optimizing Parameters of an algorithm
PID Controller (project 8 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Evolutionary Algorithm parameter optimisation template
This repository contains code for parameter optimization of Support Vector Machines (SVM) using the Dry Bean Dataset. The code is implemented in Python using scikit-learn library. The goal of this project is to find the best parameters for the SVM model in order to achieve the highest accuracy possible for the Dry Bean Dataset.
Combined structural and dimensional synthesis of serial and parallel robots
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