There are 7 repositories under meta-heuristic topic.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Matlab Module for Stock Market Prediction using Simple NN
Heuristic Optimization for Python
Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
A Hyper-Heuristic framework
An Ant Colony Optimization algorithm for the Traveling Salesman Problem
Exact and meta-heuristic algorithms for NP problems
Black Widow Optimization implemented in pure Python.
In this section, I share the Meta-Heuristic algorithm codes that I wrote myself
Archive of my older research papers on optimization
📄 Official implementation regarding the paper "Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification".
🐝 Nature-Inspired Optimization Applied to Deep Learning for ICMC/USP mini-course.
Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).
Heuristic Optimization for C#, C, Java and Matlab
A comprehensive solution to optimize tourism packages, prices, resources, and budgets for startup companies. The project includes mathematical modeling, data analysis, optimization algorithms, database design, and AI-driven demand prediction.
It was developed by creating a hybrid structure with the techniques of K-nearest neighbor algorithm and metaheuristic search algorithms. SOS Algorithm was used as the Meta-Heuristic algorithm.
Local searches for continuous optimization implemented in C#
Currently a prototype implementation of Pareto local search algorithm in preparation for an upcoming project
ICHEA for Dynamic Constraint Optimization Problems (DCOP)
Local Search Scheduling with Simulated Annealing
📄 Official implementation regarding the paper "A Survey on Metaheuristic Approaches to Feature Selection".
📄 Official implementation regarding the paper "Improving Pre-Trained Weights Through Meta-Heuristic Fine-Tuning".
Social mimic optimization algorithm and engineering applications (SMO algorithm)
DVFS framework addressing the problem of performance-energy trade-off, 2023.
Projet étudiant de Recherche Opérationnelle en utilisant la heuristiques et/ou des métaheuristiques sur le problème de couverture par ensembles, l’un des 21 problèmes NP-complets de Karp
Harmony Search algorithm implemented in python with object oriented programming.
:chart: implementation of the algorithm based on ILS (Iterated Local Search) and Hill Climping to minimize mathematical functions
Particle Swarm Optimization OOP implementation