Exact and meta-heuristic algorithms for NP problems
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Updated
Oct 28, 2019 - Python
Exact and meta-heuristic algorithms for NP problems
A Hyper-Heuristic framework
Implementation of the PAMELI algorithm for computationally expensive multi-objective optimization
Currently a prototype implementation of Pareto local search algorithm in preparation for an upcoming project
📄 Official implementation regarding the paper "Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification".
📄 Official implementation regarding the paper "Adapting Convolutional Restricted Boltzmann Machines Through Evolutionary Optimization".
📄 Official implementation regarding the paper "Enhancing Restricted Boltzmann Machines Reconstructability Through Meta-Heuristic Optimization".
📄 Official implementation regarding the paper "Improving Pre-Trained Weights Through Meta-Heuristic Fine-Tuning".
🐝 Nature-Inspired Optimization Applied to Deep Learning for ICMC/USP mini-course.
Black Widow Optimization implemented in pure Python.
📄 Official implementation regarding the paper "A Survey on Metaheuristic Approaches to Feature Selection".
A Python implementation of the Ant Colony Optimization Meta-Heuristic
Harmony Search algorithm implemented in python with object oriented programming.
Particle Swarm Optimization OOP implementation
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
DVFS framework
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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