Classical and Modern searching algorithms
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Updated
Jun 24, 2019 - Java
Classical and Modern searching algorithms
In this project are implemented example of local search algorithm and algorithm for constraint satisfaction problem applied to different cases
A Vehicle Routing Problem optimized solution with Variable Neighborhood Search (VNS), Variable Neighborhood Descent (VND) and Simulated Annealing
MaxCut SS
Solution quadratic assign problem via LS(local search), ILS(iterated local search), GLS(guided local search)
Implementation of different types of algorithm in order to solve the Travelling Salesman Problem. It also includes performance analysis in report
My Research project under Dr Andrea Raith, Senior Lecturer at the Department of Engineering Science at the University of Auckland (UoA).
Using two powerful local search algorithms to find a solution for the popular 8-queen problem.
Implementing GA to solve TSP
Hitori puzzle solver using informed and local search algorithms
Local search algorithms solving the travelling salesman problem
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.
Python Code for different simple Metaheuristics
Algorithms project based on the Coursera course by Pascal Van Hentenryck
Contains all the assignments of the course CSE-318 offered in CSE, BUET
Artificial Intelligence + Deep Learning
A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
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.
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