There are 1 repository under crossover topic.
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
🎯 A Crosshair Overlay for any screen.
A docker for run CrossOver though VNC remote manage
A harbor for all your game *porting* activities (get it?)
BeamNG.drive Black Terrain fix for Linux and Mac
A Binance Bot that Trades Macd Crossovers
:scissors: Solving 2D cutting stock problems with genetic algorithms (AI)
This is the repository of codes written in class.
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.
A WIP Game List working on mac (and tested) with Crossover, Parallels or Rosetta 2
Crossover Task - Auction marketplace comprising an end-to-end classified platform with the option to bid on products in realtime. ⚖️
OCI Container for Wine using buildah and podman
Genetics (Initialization, Selection, Crossover, Mutation)
Implementation of NSGA-II in Python
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.
Implementation of a simple genetic algorithm designed to solve the Traveling Salesman Problem, using ncurses to visualize the graph.
Implementation of Generalized Partition Crossover for the Problem of Traveling Salesman Problem.
Small HiFi audio system for good sound in small rooms
Implementation of a theory to use Generalized Partition Crossover with Vehicle Routing Problem.
This repository contains a C++ program that solves the Knapsack Problem using a Genetic Algorithm. The Knapsack Problem is a classic optimization problem where we aim to maximize the total value of items to be packed in a knapsack, given the knapsack's weight capacity and a set of items with their respective weights and values.
Genetic algorithm for unconstrained single-objective optimization problem.
Virtual Expo Application where companies can book their stands in events and users can visit stands on current events.
Using genetic algorithm for finding the shortest and optimized route based on its environment.
This program implements a genetic algorithm for curve fitting using a polynomial equation. The goal is to find the best coefficients for the polynomial equation that minimize the distance between the curve and a given set of data points. The genetic algorithm is used to search for the optimal solution by evolving a population of candidate solutions
a python program thart uses genetic algorithm to find max point of y = sin(10Πx)+2