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.

• UpdatedMar 15, 2023
• Jupyter Notebook

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.

• UpdatedApr 8, 2023
• Jupyter Notebook

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

• UpdatedAug 17, 2024
• Python

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

• UpdatedNov 13, 2023
• Python

pySWATPlus is a Python library tailored for seamless interaction with Soil and Water Assessment Tool Plus (SWAT+). Empowering users to efficiently manage input and output files within Python environments, pySWATPlus streamlines data manipulation and calibration processes using pymoo.

• UpdatedMar 15, 2025
• Python

This repository is an implementation ofhttps://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.

• UpdatedFeb 11, 2023
• Jupyter Notebook

Generative models for architecture prose and schematics

• UpdatedJul 20, 2022
• Jupyter Notebook

A multi-objective optimization project using NSGA2

• UpdatedFeb 16, 2024
• Python

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

• UpdatedJun 12, 2023
• Jupyter Notebook

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

• UpdatedMay 3, 2023
• Python

single & multi objective optimiztion

• UpdatedFeb 22, 2024
• Jupyter Notebook

A wrapper-based framework for pymoo problem modification.

• UpdatedFeb 16, 2025
• Python

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

• UpdatedJul 30, 2021
• Python

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

• UpdatedMay 10, 2023
• Python

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

• UpdatedAug 15, 2022

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

• UpdatedFeb 20, 2025
• Python

A system written for my BSc Software Engineering dissertation, which optimises and visualises D&D characters to meet non-technical archetypes, using NSGA-II and 20 generations.

• UpdatedMay 11, 2021
• Python

Code for the paper: Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms.

• UpdatedMay 17, 2023
• Python

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

• UpdatedJan 28, 2025
• Python

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

• UpdatedAug 10, 2024
• Python