This repository contains a Genetic Algorithm (GA) implementation for solving the Traveling Salesman Problem (TSP).
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Updated
Mar 23, 2025 - Python
This repository contains a Genetic Algorithm (GA) implementation for solving the Traveling Salesman Problem (TSP).
Hybrid differential evolution algorithm (HDE) to solve the Flexible Job Shop Scheduling Problem
This is a MidTerm project solving 3 task: 8-Puzzle by A*, Pacman by A* and 16-Queens by Genetic Algorithm (Course: Introduction to Aritificial Intelligence) carried out by a group of 2nd year students.
This project implements methods for solving Uncapcaitated Facility Location(UFLP) nominally and under spatial demand uncertainty.
a realization of MA algorithm for solving CVRPTW
This repository contains my solutions to the assignments of the course CSE-318 | Artificial Intelligence.
Using artificial intelligence (A* search, Local Search, Contraint Satisfaction, Knowledge Engineering) to solve real-life problems.
Maximum Edge Weight Clique Problem | Dev. with Python | Engineering school project (3rd year/5)
AI Search methods from CAP 4630: Intro to AI
This repository contains implementations of various optimization algorithms in R, applied to benchmark problems.
This repository is a compilation of my activities from the subject course of CS321L-M - Artificial Intelligence Lab.
This project explores the monochromatic triangle problem, leveraging genetic algorithms to find optimal solutions. It includes a visualization component to illustrate the problem and solution.
A simple Eight Queens solver built with Java for CSE 486.
find the best meal with the lowest cost and lowest calories (Minimize the calories and the cost)
A competition among MSc Business Analytics cohorts to build the best 3 heuristic models to solve modified Capacitated Vehicle Routing Problem (CVRP) in VBA
Package distribution optimization using local search algorithms.
📐 Polygonization using CGAL
Heuristic optimization work for university. Optimize the ordering of task. By using optimization algorithm and methods. Like the local search hillclimbing etc.
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