e-dub / desoptpy1

DESign OPTimization in PYthon

DesOptPy

DESign OPTimization in PYthon

Previous version. See http://github.com/e-dub/DesOptPy for newest.

Introduction to DesOptPy

DesOptPy (DESign OPTimization in PYthon) was designed a Python-based tool for structural design optimization. This package integrates optimization algorithms from pyOpt and pyGMO, with expansion to others being possible. This allows for complex handling of large-scale optimization problems typical of structural design optimization. The goal of this project was to design a versatile and general optimization toolbox for structural design optimization in which an optimization model can be set up easily, quickly, efficiently and effectively, allowing colleagues and students to dive into optimization problems without difficulty. It is also meant to be modular and easily expanded. Though developed for design optimization of mechanical structures, DesOptPy has been written to be flexible and, therefore, optimization problems of other disciplines can be applied. The backend code, though, is far from perfect and not aesthetic (some of it is just plain ugly!), being written by a mechanical engineer and not by programmers.

Download

DesOptPy can be downloaded an branched at the following GitHub repository:

http://github.com/e-dub/DesOptPy1

Installation

The quick and easy installation is accomplished via the following code:

pip install DesOptPy

Examples

To learn the ways of DesOptPy a number of exemplary test problems for optimization are provided.

Further contribution to examples from users is welcome, see the repository: http://github.com/e-dub/DesOptPyModels.

Terms of usage

If DesOptPy is used in your research, a citation would be appreciated. The following is the BibTeX format:

@PhdThesis{Wehrle2015,
    Title = {Design optimization of lightweight space frame structures considering crashworthiness and parameter uncertainty},
    Author = {Wehrle, E. J.},
    School = {Lehrstuhl für Leichtbau, Technische Universität München},
    Year = {2015},
    Type = {Dr.-Ing. diss.}
    }

Release history

July 27, 2019

DesOptPy version 2019 released.

July 30, 2016

DesOptPy version 1.3 released.

June 26, 2016

DesOptPy version 1.2 released.

November 18, 2015

DesOptPy version 1.1 released.

November 16, 2015

DesOptPy version 1.02 released.

November 10, 2015

DesOptPy version 1.01 released.

November 8, 2015

The website is currently a work in progress and being built. Check back for updates.

October 18, 2015

Initial public release of DesOptPy on GitHub and PyPI - the Python Package Index.

Contact

I would also appreciate feedback to any success (or unsuccess) stories with the use of this software. If you should find errors in the code or documentation, have suggestions for improvements or wish a cooperation, please contact me.