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A genetic algorithm is an optimization heuristic that is inspired by the principles that drive natural evolution: mutation, recombination and selection. In comparison to traditional search methods such as hill-climbing, genetic algorithms have the ability to escape from local minima/maxima.

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I have wrote my own simple version of NEAT and want to improve the code for mainly performance (training and runtime of a generation). This simple version of NEAT aims to perform somewhere near as ...
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I was looking to learn about AI and found the traveling salesman problem very interesting. I also wanted to learn about genetic algorithms, so it was a fantastic combo. To clarify, this is my second ...
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I'm working on the famous clump finding problem to learn Haskell. Part of the problem involve breaking nucleotide sequences, called kmers, into subsequences as follows: ...
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Alright. So TryHackme is a website that tries to teach hacking with hands on labs. They have a room called JVM Reverse Engineering where the user gets to reverse engineer Java apps, and in particular ...
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I'm working on an optimization code using differential evolution to solve. However, it is taking a long time to get the solution. See that I have a variable called number_of_iterations that must equal ...
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(The entire project lives there.) This time, I have made the previous version of the GA for TSP run faster by around the factor of 6+. The idea is to cache the tour costs with the actual tour objects ...
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(A more efficient version of the GA.) This is my the very first take ever on GA: GeneticTSPSolverV1.java: ...
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This post presents my take on TSP (travelling salesman problem). The idea is to: Take an input node i, Compute the entire graph ...
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I was watching Computerphile's video on using genetic algorithms to solve the Knapsack problem, and I decided to give it a whack. For anyone running the code, the ...
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I have done a little program where the goal is trying to teach some cars (red and blue rectangles) to "drive" through genetic algorithm. It works well, and I haven't seen any bugs, but the ...
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First of all: Hi, my name is Henrik and I am a mechanical engineer, who loves to code in his free time. To get better in programming I wrote a genetic algorithm compined with a list planning algorithm ...
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I used uniform crossover to solve eight queens problem. It is taking more than an hour to get the result. Is there any way to reduce the running time or improve the crossover to solve eight queens ...
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I have tried to code a genetic algorithm to guess the coefficients of a degree 4 polynomial. The information initially provided is values of y = f(x) for different x using the original polynomial. I ...
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I've made this to pick the LQR parameters for my self balancing robots simulation. So to break down what I have done, Randomly Create Population I create a random population. The population is a list ...
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In order to get more accustomed with classes in Python, I have written a genetic algorithm, which takes a level with a start and end point and searches for a route (not necessarily the optimal one). ...
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I do genetic programming. I have 5 parcours, the first on the left is the easiest parcour. The first parcour can be solved by place one belt in the middle pointing downwards to solve the problem. If ...
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I'm writing a decryption algorithm using GA with crossover and mutation. My performance is (very) poor, often stagnating early or converging to the incorrect solution. I just want some other people to ...
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An Algorithm For Scheduling Your Time There is a strong body of research in cognitive science which has large implications for how best to plan your day to get the most out of it. However, it isn't ...
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For past few months I was trying to understand genetic algorithms (GA) and most of the materials availble in the web was not always easy for me. Then I came across this article written by Ahmed Gad ...
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This is a very bare bones program where a population of blocks learn to reach a target on a 2D screen (my attempt at making a smart rockets program). I've only used Python for 2 weeks, so I'm positive ...
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I am trying to figure out how to improve my binary image genetic programming classifier's fitness. It takes images and classifies them if it has some feature X or not in it. These are the main ...
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Inspired by this article. I've been trying to learn more C# and OOP. Here is my take on a genetic algorithm as described in the article. Here are some of the results flower jelly lighthouse beach It ...
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I have implemented two pieces of code as part of an Evolutionary Algorithm study: Particle Swarm Optimisation (PSO) and Genetic Algorithm (GA). Both are designed to find an optimal solution to a ...
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For Job shop scheduling, I built a fitness function: ...
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I have implemented travelling salesman problem using genetic algorithm. Since project is not so small I will give short introduction. GeneticAlgorithmParameters - ...
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I was writing a Python script that starts with a random string and then using Genetic Algorithm tries to find the target string. Although I have successfully implemented the algorithm but it's taking ...
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I have implemented a genetic algorithm in python 3 for a programming assignment, and I think all the logic is correct. A friend of mine has also implemented one which carries out similar logic, ...
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This is a genetic algorithm I made. Currently, it seems to be flexible enough for my purposes. Since I am quite new to c++, I'd like to know what you think. I am uncertain about several things and ...
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My code denotes an open source library that makes creating genetic algorithms easier. It's an encapsulated library and is called using the new constructor. ...
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Readme.md Tetris In my quest to building a Tetris game, where you can challenge an AI, I have created and trained an AI that plays Tetris all by himself. Github link I think the easiest way to run ...
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I have been trying to develop an algorithm called keep the tool needed soonest (for more information about the KTNS explanation (page 3)) but during the simulations, I have realized that it takes too ...
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As a side toy project for my Genetic Algorithm, I decided to try to create a macro that lets you use maximize: ... subject to: ... linear problem notation to ...
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I'm writing a Genetic Algorithm, and need to write a function that crosses two gene sequences. Basically, I want it to work like this: ...
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I've implemented a simple genetic algorithm for continuous floating point parameter spaces and without recombination. However, the way I'm passing in parameters and acquiring results from ...
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I'm implementing genetic algorithm in Java and I want to learn TDD with this project. Currently I have this code: ...
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Using Genetic Algorithm to solve N-Queens problem where N=22. My program is functional and is capable of solving N-Queen problems up to around where N=15, but everything after that is absurdly slow. ...
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I have implemented two genetic operators, which is really just a fancy way of mangling lists. In particular OX-1 (illustration) and displacement mutation. I found it necessary to extract out the ...
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This is my take on this problem. I don't pre determine the distances, it's not suitable for the application I'll use it for. I'll use it in shool to determine some a mean total distance and how to ...
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I've created a game (basically an Agar.io clone), where a human player is placed against AI controlled bots powered by a genetic algorithm and neural networks. The problem is that I think that my ...
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I haven't done any research into how you actually write a genetic algorithm, so this is my best guess. What I'm really curious to know is two-fold: Have I created a genetic algorithm? If I have, how ...
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Is this the best way to implement a genetic algorithm framework? I'm just a student and wanted to know if I can improve the code that I have done. Some of the code I copied from the framework ...
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I am working on a genetic algorithm using the following code. The variable best in generateNewPopulation stores the best ...
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This algorithm sorts a list of Individuals, each with two fitness values, into what's called non-dominated fronts. A non-dominated front is a set of individuals where none of the individuals dominate ...
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I have written some codes in java implementing simplest genetic algorithm. The code finds (or rather tries to) the maximum value possible for a user-defined number of bits. For example, for 16 bit ...
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The code below is the core of a Genetic Algorithm (NSGA-II to be precise, without crowding-distance calculation), but I've taken out all the GA-specific parts and made a generic example. I think I've ...
tsorn's user avatar
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I am an architecture thesis student in my final year and I am developing a piece of software that, ideally, should design houses for me based on certain input. I got the program to work when it was ...
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This is the Hash-Matrix that I used in order to process the matrix for my quadratic sieve algorithm. You can find the full code at here(it's java 7), but I only want you to review this class. My ...
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I created a short python program that can create a list of random unique nodes with a given length and a given number of strategies. The GA runs through a given number of generations, changing a ...
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I created an evolutionary algorithm that optimises the range of a "glider"...ignore the accuracy of the physics behind the problem! Any comments on how to improve the algorithm/my coding style would ...
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This post is a follow-follow-up to this post and its follow-up. In those two posts we managed to speed-up the solution of an Alberi puzzle, and to create a one-tree-per-region puzzle. The complete ...
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