Se pretende optimizar el clasificador K-NN [1] resolviendo el problema al que llamaremos Aprendizaje de pesos en características (APC)

Introduction to optimization algorithms and applications

My attempts in Metaheuristic Algorithms

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

Implementation of some metaheuristic algorithms.

Description of travel salesman problem and one example code genetic in python. In specific, one implentation with jsvascript language and explanation of process

MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library

The traveling salesman problem (TSP) is a well-known problem in theoretical computer science and operations research. The standard version of the TSP is a hard problem and belongs to the NP-Hard class. In this project, I build an application to implement the TSP by the dynamic approach and the GVNS approach .

Travelling Salesman Problem (TSP)

BIO-ANFIS: A Bio-inspired Optimization Framework for Improving ANFIS Networks

PWr, kurs Projektowanie efektywnych algorytmów, projekt nr 2

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 repository contains the Matlab source codes of the Improved Hybrid Growth Optimizer (IHGO) algorithm, an improved variant of the recently-developed Growth Optimizer (GO) algorithm.

Adaptive Heterogeneous Improved Dynamic Multi-Swarm PSO (A-HIDMS-PSO) Algorithm

C++ Optimization Library

Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm

Simple Python Implementation of Differential Search Algorithm (DSA)

Implementation of the tabu search algorithm used in my thesis. The problem in the thesis is political districting.