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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.
Implementation of the mutation operation "choose a gene at random" and the crossover operation "one-point crossover" for the Bin-Packing Problem
🧬Logic Gate Assignment, Artificial Intelligence course, University of Tehran
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
Solving the Traveling Sales Person problem using genetic algorithms.
A Genetic Algorithm project for solving The Traveling Salesman Problem "TSP"using Roulette Wheel Selection, Ordered Crossover (OX) and Mutation Swap Mutation
A Genetic Algorithm implementation for the Steiner Tree Problem in Graphs using GPX crossover operator.
It is bioinformatics project
👩💻Text Decryption, Artificial Intelligence course, University of Tehran