overlapping in matplotlib plot Question: I am comparing the execution time of an exhaustive search and genetic algorithm along with sample solutions. In the graph below, I am trying to improve the readability of my graph. However, they overlap with each other. Sample Code: import matplotlib.pyplot as plt # define the data exhaustive_search = [72, …
Why does PyGad fitness_function not work when inside of a class? Question: I am trying to train a genetic algorithm but for some reason it does not work when it’s stored inside of a class. I have two equivalent pieces of code but the one stored inside of a class fails. It returns this.. raise …
Iterating a list: getting values as[set(), set(), set(), set(), set()] Question: I have a list (df_pop_initial_list), and it looks like this: [[‘000000000000000000000000000001011000000’], [‘000000001000000000000001000000000010000’], [‘000000000000000000000000000000010011000’], [‘000000000000001001000000000000010000000’], [‘000000000000000000010000001000000010000’], [‘1000000000100000000010000000000000000000’], [‘1000000010000000000001000000000000000000’], [‘1001000000000000000010000000000000000000’], [‘000000000000100000000000100000000000010’], [‘000000000110000000000000000000001000000’], [‘000000101000000010000000000000000000000’], [‘000000000000001000000010000100000000000’], [‘000000000000000010000101000000000000000’], [‘000000001000100000000000000000000100000’], [‘000000100000000000000000010000001000000’], [‘000000000000001100000000000010000000000’], [‘010000000000000000000000000001001000000’], [‘000000010100000001000000000000000000000’], [‘000000000000000000001000000001100000000’], [‘000100000000000100000000000000000000010′]] I am trying to count 1’s in this 39 bits string list and converting …
Genetic Algorithm using fixed length vector Question: I am trying to implement a genetic algorithm using fixed-length vectors of real numbers. I found a simple implementation online using a binary encoded values. My confusion arises when I am trying to figure out a way to initialise the array and set the bounds for this algorithm. …
Indexing: Presenting integer values in a 'n' bit string, turning on bits according to integer value Question: I have a list of numbers. Each index has 3 values. [{24, 17, 22}, {16, 4, 38}, {25, 13, 38}, {32, 18, 15}, {8, 10, 18}] I am trying to convert them into 39 bit string and turning …
finding indexes of 1's in a bit string and storing these indexes in a list — Index should be started from 1 not 0 Question: I am finding indexes of 1’s in a bit string successfully. However, these indexes start from 0. Sample Data: initial_pop 000000000000000000000000000001011000000 000000001000000000000001000000000010000 000000000000000000000000000000010011000 000000000000001001000000000000010000000 000000000000000000010000001000000010000 1000000000100000000010000000000000000000 1000000010000000000001000000000000000000 1001000000000000000010000000000000000000 000000000000100000000000100000000000010 000000000110000000000000000000001000000 …
counting 1's in a bit string to keep positions in a variable and then accessing each value Question: I am finding 1’s in a bit string and then storing them. Sample Data: Sample code: def indices(chromosome): return {i for i,c in enumerate(chromosome) if c==’1′} for ind in df_initial_pop[‘initial_pop’].index: locations = indices(df_initial_pop[‘initial_pop’] [ind]) print (locations) Output: …
Not able to understand random.sample(range(1,40),3)) with sum(1<<i for i in random.sample(range(1,40),3)) Question: I am trying to debug this piece of code and learn a little. I learn that it generates 3 unique values for i but how come the values of sum become this much big? If I run it and debug it, it goes …
Cross-over is failing binary encoded string Question: I am implementing Genetic Algorithm (GA). There are 43 numbers [Ambulance Locations] to choose from (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, …
Mutation with String Encoded Chromosomes – Genetic Algorithm Question: I am implementing Genetic Algorithm (GA). There are 43 numbers [Ambulance Locations] to choose from (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, …
