Using two powerful local search algorithms to find a solution for the popular 8-queen problem.
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Updated
Apr 3, 2021 - Python
Using two powerful local search algorithms to find a solution for the popular 8-queen problem.
Implementing GA to solve TSP
This repository seeks to optimize bikes distribution of a public bicycle renting service across city stations using local search algorithms like Hill Climbing and Simulated Annealing, aiming to minimize costs and efficiently meet demand. It includes tools to visualize the distribution and showcases the utility of AI in urban logistics.
Local search algorithms solving the travelling salesman problem
FIB-IA 2022-23 Q2 Artificial Intelligence subject
Contains all the assignments of the course CSE-318 offered in CSE, BUET
In this project are implemented example of local search algorithm and algorithm for constraint satisfaction problem applied to different cases
Hitori puzzle solver using informed and local search algorithms
Python Code for different simple Metaheuristics
Implementation of different types of algorithm in order to solve the Travelling Salesman Problem. It also includes performance analysis in report
Algorithms project based on the Coursera course by Pascal Van Hentenryck
Discrete Optimization
Classical and Modern searching algorithms
MaxCut SS
AI assistant that helps groups of friends or co-workers find a restaurant to order from together, that best matches the group members' dining preferences.
My Research project under Dr Andrea Raith, Senior Lecturer at the Department of Engineering Science at the University of Auckland (UoA).
A Vehicle Routing Problem optimized solution with Variable Neighborhood Search (VNS), Variable Neighborhood Descent (VND) and Simulated Annealing
Artificial Intelligence + Deep Learning
Solution quadratic assign problem via LS(local search), ILS(iterated local search), GLS(guided local search)
A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
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