Hands-On Genetic Algorithms with Python

Python problem representation

To encapsulate the CartPole challenge, we've created a Python class called CartPole. This class is contained in the cart_pole.py file, which is located at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/blob/master/Chapter10/cart_pole.py.

The class is initialized with an optional random seed and provides the following methods:

• initMlp(): This initializes a Multilayer Perceptron regressor with the desired network architecture (layers) and network parameters (weights and biases), which are derived out of the list of floats representing a candidate solution.
• getScore(): This calculates the score of a given solution, represented by the list of float-valued network parameters. This is done ...