This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

Ship Routing Algorithms for Just-In-Time and Energy Efficient Voyages. By using a genetic algorithm we strive the lowest possible fuel consumption while at the same time keeping the scheduled deadlines. Two different specifications of the algorithm are available, one with a constant engine power, one with an over the route changeable engine power.

A Python wrapper for executing and calibrating the Soil and Water Assessment Tool (SWAT) in Unix/macOS systems.

A Python implementation of the Knowledge Guided Bayesian Dynamic Multi-Objective Evolutionary Algorithm (KGB-DMOEA)

Generative models for architecture prose and schematics

This repository is an implementation of https://link.springer.com/chapter/10.1007/978-3-030-72699-7_35 article. it uses evolutionary strategy (NSGA-II algorithm specificially) to configure image filters parameters in order to attack adversarially to a neural network.

A multi-objective optimization project using NSGA2

minimize the risk and to maximize the return in multi objective portfolio optimization

(Completed) Machine Learning and Multi-Objective Evolutionary Algorithms to Solve Real World Engineering Problems (MultiObjectiveOptimisation and ML)

A wrapper-based framework for pymoo problem modification.

single & multi objective optimiztion

Multi-objective optimization of hydrostatic transmission performance with NSGA-II

Multi objective optimization challenge, provided by the ESA & Topic of my thesis.

MOObyMOEA: Multi-Objective Optimization using Multi-Objective Evolutionary Algorithms

Graph Convolution Network GCN with Dimensional Redaction and Differential Algorithms using Python

Genetic algorithm tryna evolve a NN trading bot 🌚

(BSc Hons) Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems

This is my academic project about implementing an epidemic model using optimization methods.

Software desenvolvido como projeto de TCC sobre dimensionamento de Trocadores de Calor Casco e Tubo com o uso de GA's.

COBEM 2025 Paper for the implementation of Signed Log-Uniform Distribution (SLUD) versus Log-Uniform Distribution (LUD) and Linear Distribution in the initialization of variables in a Particle Swarm Optimization (PSO) optimization of a couple of benchmark functions.