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:

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): 
    def __init__(self, max_moves): 
        self.max_moves = max_moves 
        self.moves = 0 
        self.consumed = 0 
        self.routine = None 

Define the directions and movements:

        self.direction = ["north", "east", "south", "west"] 
        self.direction_row =...