By the same authors

From the same journal

Automatic Code Generation on a MOVE Processor Using Cartesian Genetic Programming

Research output: Contribution to journalArticlepeer-review

Author(s)

Department/unit(s)

Publication details

Journal9th International Conference on Evolvable Systems
DatePublished - Sep 2010
Volume6274
Number of pages12
Pages (from-to)238-249
Original languageEnglish

Abstract

This paper presents for the first time the application of Cartesian Genetic Programming to the evolution of machine code for a simple implementation of a MOVE processor. The effectiveness of the algorithm is demonstrated by evolving machine code for a 4-bit multiplier with three different levels of parallelism. The results show that 100% successful solutions were found by COP and by further optimising the size of the solutions, it is possible to find efficient implementations of the 4-bit multiplier that have the potential to be "human competitive". Further analysis of the results revealed that the structure of some solutions followed a known general design methodology.

Projects

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations