Explore @industrial-optimization-group Open Source projects

Research Group in Industrial Optimization (@industrial-optimization-group)

industrial-optimization-group

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DESDEO

An open source framework for interactive multiobjective optimization methods

desdeo-emo

This repository contains Evolutionary Algorithms that can be used for multi-objective optimization. Interactive optimization is supported. Methods such as RVEA and NSGA-III can be found here.

desdeo-mcdm

Contains traditional optimization techniques from the field of Multiple-criteria decision-making. For example, methods belonging to the NIMBUS and NAUTILUS families can be found here.

Multi-scenario-Multi-objective-Robust-Optimization-under-Deep-Uncertainty

Jupyter Notebook

desdeo-webui

A new web-based user interface for DESDEO

desdeo-webapi

A web API implementation for the DESDEO framweork

pyRVEA

A Python implementation of RVEA

Jupyter Notebook

desdeo-frontend

A frontend for DESDEO developed in typescript and react

desdeo-vis

Visualisations and preference selection widgets for the DESDEO interactive multiobjective optimization toolbox

Jupyter Notebook

SURROGATE-ASF-code

SURROGATE-ASF: An interactive surrogate-based method for solving computationally expensive multiobjective optimization problems

ANOVA-MOP_Code

ANOVAMOP: An interactive/non-interactive surrogate-based method for solving high-dimensional computationally expensive multiobjective optimization problems

Offline_IMOEA_Framework

Jupyter Notebook

desdeo-tools

Generic tools and design language used in the DESDEO framework

offline_data_driven_moea

Jupyter Notebook

SurrogateAgents2

Surrogate modelling technique selectors

desdeo-problem

This repository contains the packages that build the problem objects for the desdeo framework.