Cookies

We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Research

View Profile

Publication details for Professor Michael Petty

Mohid, M, Miller, JF, Harding, SL, Tufte, G, Lykkebo, OR, Massey, MK & Petty, MC (2014), Evolution-in-materio: solving function optimization problems using materials, 2014 14th UK Workshop on Computational Intelligence (UKCI). Bradford, UK IEEE, Bradford, 1-8.

Author(s) from Durham

Abstract

Evolution-in-materio (EIM) is a method that uses artificial evolution to exploit properties of materials to solve computational problems without requiring a detailed understanding of such properties. In this paper, we show that using a purpose-built hardware platform called Mecobo, it is possible to evolve voltages and signals applied to physical materials to solve computational problems. We demonstrate for the first time that this methodology can be applied to function optimization. We evaluate the approach on 23 function optimization benchmarks and in some cases results come very close to the global optimum or even surpass those provided by a well-known software-based evolutionary approach. This indicates that EIM has promise and further investigations would be fruitful.

Notes

Conference dates: 8-10 Sept. 2014