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An Evolutionary Programming Algorithm for Automatic Engineering Design
 

Summary: An Evolutionary Programming Algorithm for
Automatic Engineering Design
Andrew Lewis1
, David Abramson2
and Tom Peachey2
1
Div. of Information Services, Griffith University, Brisbane, Queensland, Australia
2
Dept. of Computer Science and Software Engineering, Monash University,
Melbourne, Victoria, Australia
a.lewis@griffith.edu.au, davida@csse.monash.edu.au, tcp@csse.monash.edu.au
Abstract. This paper describes a new Evolutionary Programming al-
gorithm based on Self-Organised Criticality. When tested on a range of
problems drawn from real-world applications in science and engineering,
it performed better than a variety of gradient descent, direct search and
genetic algorithms. It proved capable of delivering high quality results
faster, and is simple, robust and highly parallel.
1 Introduction
In the engineering design process there is a demand for the capability to per-
form automatic optimisation, minimising or maximising some derived quantity,

  

Source: Abramson, David - Caulfield School of Information Technology, Monash University

 

Collections: Computer Technologies and Information Sciences