crossover

BeamNG.drive Black Terrain fix for Linux and Mac

A Binance Bot that Trades Macd Crossovers

Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generation, i.e. survival of the fittest of beings.

Implementation of NSGA-II in Python

Simple Audio Sweeper. A handy tool for DIY audio enthusiasts. It generates any desired audio frequency and analyzes your audio system’s frequency response.

GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

In this project we implement a DNA-Genetic Encryption Technique (D-GET) in order to make the DNA SEQUENCE more secure and less predictable.

Run Minecraft Dungeons II (Dungeons 2) on Apple Silicon Macs with CrossOver. Steam startup, dependencies, networking and Xbox sign-in fixes.

Genetic algorithm optimizer with tournament selection, single-point crossover, bit-flip mutation, and elitism.

This project implements Genetic Programming (GP) to evolve and optimize mathematical expressions that best fit given data. It leverages tree-based evolutionary algorithms to generate, evaluate, and refine expressions using selection, crossover, and mutation.

Genetic algorithm optimizer with tournament selection, single-point crossover, bit-flip mutation, and elitism.

Run LOTR: The Battle for Middle-earth II (BFME2) & BFME1 on Apple Silicon Macs (M1–M5) with CrossOver/Wine + Rosetta — fixes, clean-room tools, and a full field report. Reaches the menu with no VM.

Using genetic algorithm for finding the shortest and optimized route based on its environment.

This project offers the method in D. Ge, C. Wang, Z. Xiong, and Y. Ye's paper From an Interior Point to a Corner Point: Smart Crossover.

a python program thart uses genetic algorithm to find max point of y = sin(10Πx)+2

A Python script that solves the traveling salesman problem using genetic algorithms. The cities and the distances are predetermined but can also be randomly generated.

An audio player for wireless stereo active speakers

EMA-VWAP crossover trading strategy in Python

This code provides a solver for the Traveling Salesman Problem (TSP) using a genetic algorithm approach.

This is a script that defines a class for training a neural network using a genetic algorithm. You will have to score it yourself (because of the nature of genetic algorithms), but otherwise it works well. The methods included are slice and random crossover, as well as top 2 and weighted pick for the selection method.