A maintenance policy aims to plan the cycle of maintenance actions necessary to maintain the reliability and proper functioning of a system. Some research aims to identify the number of maintenance actions within a planning horizon and the specific moments at which these maintenances should be performed. However, this work proposes an optimization

Statistical Machine Intelligence & Learning Engine

Distributed High-Performance Symbolic Regression in Julia

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

Bayesian Illumination is an accelerated generative model for optimization of small molecules.

Vent-hole optimization for UAV aircraft using Genetic algorithm and Physical-models

moldrug is a python package for drug-oriented optimization on the chemical space ​

Genetic and Simulated Annealing Solution for Minimization Problems

A simple AI in pure c++ to play the snake game

Web implementation of Roger Alsing's EvoLisa problem

Modified version of a genetic algorithm developed for optimization problems with correlated variables.

Genetic Algorithm for the optimization of a GRB LCs stochastic model (Stern & Svensson, 1996).

Evolutionary decision tree classifier

The Mancala board game with several AI bots

A set of programs in Julia designed to efficiently simulate range expansions.

Implementacion of NEAT algorithm, PPO algorithm and Genetic algorithm to train agents in the game Airstriker-Genesis, using gym-retro environment.

Jose V. Die

[a.a. 23/24] G. Tuozzo

Hiperheurísticas: Aplicación a problemas de asignación de horario y metaoptimización