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

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

Travelling Salesman Problem (TSP)

Implementation of multivariate regression and classification using an adaptive neuro-fuzzy inference system (Takaki-Sugeno) and metaheuristic optimization.

PWr, kurs Projektowanie efektywnych algorytmów, projekt nr 2

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.

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.

A python library for solving optimization problems using metaheuristic algorithms

Optimizing where people are seated based on their interpersonal affinities.

Path Planning with Metaheuristic Algorithms in C++

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

Minimization of the number of sensors in a WSN sensor network using metaheuristic cooperation

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

This repo contains the implementation in Python with a tutorial of some Metaheuristic Algorithms.

A package including some functions implementing heuristics for combinatorial problems, and some datasets for testing.

Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.