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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Updated
Dec 18, 2021 - Python
Heuristic optimization work for university. Optimize the ordering of task. By using optimization algorithm and methods. Like the local search hillclimbing etc.
This repository contains programs using classical Machine Learning algorithms to Artificial Intelligence implemented from scratch and Solving traveling-salesman problem (TSP) using an goal-based AI agent.
N-Queen(s) Problem implemented using Hill Climbing Algorithm in Python Language
Implementation of Hill Climbing algorithm to Traveling Salesman Problem
AI Local searches implementation
TSP Problem solved by using five different algorithms written in python from scratch.
Implementation of Hill Climber and Simulated Annealing algorithms
Hill climbing algorithms (including gradient descent variations) applied on real world surface.
Solving Sudoku boards using stochastic methods and genetic algorithms
N-Queen problem solver application at Artificial Intelligence (slo. Umetna Inteligenca)
👑 hill-climbing solving n-queens
Modeling with Linear/Integer/Binary Programming & Metaheuristics
Experimentation with the Cartpole environment in OpenAI's gym
Bag problem solver using genetic algorithms and local search algorithms.
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
B.Tech Thesis/Project
Repository for the Artificial Intelligence course
Algoritmos da aula de computação inspirada pela natureza.
Deep search, Best-first Greedy search, Hill Climb
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