Visualisation of Simulated Annealing algorithm to solve TSP

Implementation and visualization (some demos) of search and optimization algorithms.

Nature Inspired Optimization Algorithms

A hybrid genetic and simulated annealing algorithm in solving the knapsack 0-1 problem

Python application to create a choreography for the NAO robot so that is fully automatically using AI techniques and suitable for the song that is selected randomly.

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.

This repository contains Local Search Algorithms implemented on Magic Square problem.

These are Stochastic Optimization Codes by using various Techniques to optimize the function/Feature Selection

Travel Route Planner with Simulated Annealing Algorithm

some basic (or advanced) heuristic algorithms applied in TSP

⚡Solve the Eight Queens Puzzle with Simulated Annealing for optimal queen placement on a chessboard

🎼 Musical Artificial Intelligence model that composes original music WITHOUT REAL MUSIC DATA TRAINING using NLP Grammars, Evolutive Computing, Simulated Annealing and LWRS Algorithm.

Simulated annealing algorithm with KNN Classifier.

Algorithms for solving circuit-fault-diagnosis problems

Finding optimal walking path for seven hills in Turku.

solving Random 3-SAT(Boolean satisfiability problem) using simulated annealing.

Genetic and Simulated Annealing Solution for Minimization Problems

Implement of simulate annealing algorithm

Implementing Simulated Annealing algorithm to find global maximum/minimum of any function.

Implementation of Artificial Intelligence advanced search algorithms