Simple Python Implementation of Differential Search Algorithm (DSA)

Current repository contains my implementation of Crystal Structure Algorithm.

Game Playing Agent (Artificial Intelligence) - Solving the Norinori Puzzle using the Honey Badger Algorithm and Q-Learning

TSP - Ant Colony Optimization

Trabajo Final de la asignatura del Master Universitario en Inteligencia Artificial de la Universidad Politécnica de Madrid

Novel global optimization meta-heuristic based on the dynamics of the process of opinion formation.

Algorithmes de selection de variables pour préparer un apprentissage non supervisé. La version finale du programme est sélectionne les prédicteurs les plus pertinents en effectuant un apprentissage à chaque génération. La métrique optimisée (dans le cadre du dataset utilisé) est l'accuracy. Nous avons testé les deux métaheuristiques sur un datas…

A project for Fundamental of Optimization class at HUST, Winter 2022

Implementation of some metaheuristic algorithms.

This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.

This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.

CS F407 Project

(Code) A Novel Nature-inspired Algorithm for Optimal Task Scheduling in Fog-Cloud Blockchain System

This project implements two nature-inspired optimization algorithms: Moth Flame Optimization (MFO) and Honey Badger Optimization (HBO). Both algorithms are designed to solve complex optimization problems by mimicking behaviors observed in nature. also it includes a path finding algorithm, A-star

A tool to automatic design Multiple-Stub Matching Networks (MSMN) for wideband on Transmission Lines, using Metaheuristics Optimization Algorithms.

A unpublished package of variant of Quantum-inspired Tabu Search

Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders

Demonstration of Particle Swarm Optimization (Auto Hyperparameter variant).

(ancient german = improving, rearranging, rendering benign)