Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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Updated
May 31, 2024 - Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
DVFS framework
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Modular Java framework for meta-heuristic optimization
Derivative-Free Global Optimization Method (C++, Python binding)
π¦ Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
Particle Swarm Optimization OOP implementation
Fast and easy solver for a lot of Vehicle Routing constraints
πΉ implementation of the algorithm based on ILS (Iterated Local Search) and Hill Climping to minimize mathematical functions
In this section, I share the Meta-Heuristic algorithm codes that I wrote myself
Harmony Search algorithm implemented in python with object oriented programming.
A Python implementation of the Ant Colony Optimization Meta-Heuristic
π Official implementation regarding the paper "A Survey on Metaheuristic Approaches to Feature Selection".
Black Widow Optimization implemented in pure Python.
π Nature-Inspired Optimization Applied to Deep Learning for ICMC/USP mini-course.
π Official implementation regarding the paper "Improving Pre-Trained Weights Through Meta-Heuristic Fine-Tuning".
π Official implementation regarding the paper "Enhancing Restricted Boltzmann Machines Reconstructability Through Meta-Heuristic Optimization".
π Official implementation regarding the paper "Adapting Convolutional Restricted Boltzmann Machines Through Evolutionary Optimization".
π Official implementation regarding the paper "Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification".
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