Building an intelligent robot controller

Let's see how to build a robot controller using a genetic algorithm. We are given a map with the targets sprinkled all over it. The map looks like this:

Building an intelligent robot controller

There are 124 targets in the preceding map. The goal of the robot controller is to automatically traverse the map and consume all those targets. This program is a variant of the artificial ant program given in the deap library.

Create a new Python file and import the following:

import copy 
import random 
from functools import partial 
 
import numpy as np 
from deap import algorithms, base, creator, tools, gp 

Create the class to control the robot:

class RobotController(object): ...

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