Automated Design of Efficient Trusses Using Machine Learning Principles
Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Producer
Director
Performer
Choreographer
Costume Designer
Music
Videographer
Lighting Designer
Set Designer
Crew Member
Funder
Rehearsal Director
Concert Coordinator
Advisor
Moderator
Panelist
Alternative Title
Department
Swarthmore College. Dept. of Engineering
Type
Original Format
Running Time
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Copyright Date
Award
Language
en
Note
Table of Contents
Terms of Use
Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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No restrictions
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Identifier
Abstract
The purpose of this project was to create an algorithmic framework to automatically design
efficient structures based on engineering and machine learning principles. In particular, this
project analyzed the truss problem, which can be solved algorithmically, and sought to develop
programs which could create and optimize trusses for arbitrary input problems.