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.

A Python implementation of the Ant Colony Optimization Meta-Heuristic

Heuristic Optimization for Python

A Hyper-Heuristic framework

Exact and meta-heuristic algorithms for NP problems

Black Widow Optimization implemented in pure Python.

📄 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.

Currently a prototype implementation of Pareto local search algorithm in preparation for an upcoming project

📄 Official implementation regarding the paper "A Survey on Metaheuristic Approaches to Feature Selection".

DVFS framework addressing the problem of performance-energy trade-off, 2023.

📄 Official implementation regarding the paper "Improving Pre-Trained Weights Through Meta-Heuristic Fine-Tuning".

📄 Official implementation regarding the paper "Adapting Convolutional Restricted Boltzmann Machines Through Evolutionary Optimization".

Particle Swarm Optimization OOP implementation

📄 Official implementation regarding the paper "Enhancing Restricted Boltzmann Machines Reconstructability Through Meta-Heuristic Optimization".

Harmony Search algorithm implemented in python with object oriented programming.

Implementation of the PAMELI algorithm for computationally expensive multi-objective optimization