Implementation of data mining methods that use evolutionary algorithms
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Updated
May 19, 2024 - Python
Implementation of data mining methods that use evolutionary algorithms
Submission to the InformatiCup2021 challenge.
A Travelling Salesman Problem (TSP) solver using a hybrid of strategies
Single robot path planning algorithms implemented in Python. Including heuristic search and incremental heuristic search methods. A*, PEA*, EPEA*, LPA*, D*Lite
A* search algorithm implementation for solving 8-puzzle problem. Includes code modularization, performance optimization and solvability checking features.
Supplementary code for the Master thesis "Developing Artificial Intelligence Agents to Manipulate Quantum Entanglement"
Generate timetables using genetic algorithms
Tackle the Game of Gomoku using symbolic network, redesigned minimax algorithm with alpha-beta pruning, credit to Yumeng Yao and Yu Li
8 Puzzle solver using uninformed and informed search algorithms as DFS, BFS and A*.
As alternative heuristic techniques; genetic algorithm, simulated annealing algorithm and city swap algorithm are implemented in Python for Travelling Salesman Problem. Details on implementation and test results can be found in this repository.
Capacitated Vehicle Routing Problem with Time Windows
This python file solves 8 Puzzle using A* Search with Manhattan Distance
Labirinto visual com busca em largura, busca heurística e A* em Python.
Implementation of Monte-Carlo Tree Search for the game of Gomoku
Implements backtracking to solve a sudoku
Course project for CS271: Introduction to Artificial Intelligence at UC Irvine
Solving Car pooling problem using branch and bound heuristic beam search
Artificial Intelligence (Old)
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
Puzzle Based Storage (PBS) system is one of the most efficient high-density storage systems, here there are some ways to extract requested loads
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