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

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.

Resolve TSP problem with GA and more crossover.

🧬Logic Gate Assignment, Artificial Intelligence course, University of Tehran

Solving the Traveling Sales Person problem using genetic algorithms.

👩‍💻Text Decryption, Artificial Intelligence course, University of Tehran

In this project, I implemented an Evolutionary Algorithm (EA) to solve the Travelling Salesman Problem (TSP), a classic optimization challenge where the goal is to find the shortest route that visits a set of cities exactly once and returns to the starting point.

Repository for Implementation of Traveling Salesman Problem Hybrid Genetic Algorithm with 2-opt Heuristic Local Search

Implementation of the mutation operation "choose a gene at random" and the crossover operation "one-point crossover" for the Bin-Packing Problem

A Genetic Algorithm project for solving The Traveling Salesman Problem "TSP"using Roulette Wheel Selection, Ordered Crossover (OX) and Mutation Swap Mutation

Genetic Algorithms

This project solves the GECCO19 Traveling Thief Problem (TTP) using a Multi-objective Evolutionary Algorithm (MOEA) to optimize both travel time (TSP) and profit (KNP) with advanced crossover, mutation, and selection operators

A simple to use, ready to integrate genetic algorithm package

A playground for writing crossover functions and see how they perform on the N-Queens problem!

It is bioinformatics project

Deliverables relating to the Machine Learning Introduction and Classification University Unit