The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

Hyperparameter selection on machine learning models using Particle Swarm Optimization

This repository include implementation of particle swarm optimization (pso) algorithm in C++

The travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?"

Artificial bee colony (ABC) algorithm is an optimization technique that simulates the foraging behavior of honey bees, and has been successfully applied to various practical problems.

Repository per una collezione di Esercizi ed Esperimenti svolti per il corso di IA (22-23)

Ant Colony Optimization in Julia

Parallel Global Best-Worst Particle Swarm Optimization Algorithm for Solving Optimization Problems (Applied Soft Computing-2023)

A Python implementation of the Dispersive Flies Optimization algorithm, and an implementation to find Steiner systems

Quantum-Behaved Particle Swarm Optimization Algorithm

A settings-free global optimization method based on PSO and fuzzy logic

Implementation of the Stochastic Diffusion Search Nature-Inspired Swarm-Intelligence Optimization algorithm to solve the Curse of Dimensionality in Data Science and Machine Learning applications. This is a project for the "Optimization" module of AUTh Computer Science Department.

🚁 Software framework for vision-based quadrotor multi-robot systems

Evolutionary and Swarm Intelligence algorithms

Implementation of Popular Swarm Intelligence Models