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24 search results found

Scikit Opt ⭐ 4,648

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Gradient Free Optimizers ⭐ 1,072

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

🎯 A comprehensive gradient-free optimization framework written in Python

Accel Brain Code ⭐ 289

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language proces

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

OpenJij : Framework for the Ising model and QUBO.

Data Morph ⭐ 37

Morph an input dataset of 2D points into select shapes, while preserving the summary statistics to a given number of decimal points through simulated annealing.

sopt:A simple python optimization library

Hybrid Genetic Algorithm Simulated Annealing For Presentation Scheduling ⭐ 24

This repository demonstrates how the Presentation Scheduling problem, which is analogous to the famous University Course Timetabling Problem (UCTP), can be solved using the Hybrid Genetic Algorithm-Simulated Annealing (HGASA) algorithm.

Metroplex ⭐ 16

Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes 🤖 🧬

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

Tsp Meta Heuristic ⭐ 14

Python implementation of Tabu Search (TB), Genetic Algorithm (GA), and Simulated Annealing (SA) solving Travelling Salesman Problem (TSP). Term project of Intelligent Optimization Methods, UCAS course 070105M05002H. 禁忌搜索, 遗传算法, 模拟退火解旅行商问题的Python实现. 中国科学院大学现代智能优化方法大作业.

C++ library for a binary quadratic model

Symmetry crystal combinatorial optimization program for crystal prediction.

Ai Nqueens ⭐ 9

This is a n-queen problem solver using local search algorithms.

Udacity Ai Nanodegree ⭐ 9

My projects/labs for Udacity Artificial Intelligence Nanodegree (April 2017 - present).

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.

Rectangle Packing Solver ⭐ 8

A solver to find a solution of the 2D rectangle packing problem by simulated annealing (SA) optimization.

Ai_with_maze ⭐ 7

All the artificial intelligence algorithms implemented in Python for maze problem

Global_optimization ⭐ 7

Heuristic global optimization algorithms in Python

Python implementation of the Archived Multi-Objective Simulated Annealing (AMOSA) optimization heuristic

Graphsearchalgorithms_geneticalgorithm_hillclimbing ⭐ 6

Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics

لُؤْلُؤَة هي لوحة مفاتيح

Tsp Solver ⭐ 5

A Travelling Salesman Problem (TSP) solver using a hybrid of strategies

Coupled simulated annealing

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