UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Visualising the search landscape of the triangle program

Langdon, WB; Veerapen, N; Ochoa, G; (2017) Visualising the search landscape of the triangle program. In: McDermott, J and Castelli, M and Sekanina, L and Haasdijk, E and García-Sánchez, P, (eds.) Genetic Programming. EuroGP 2017. (pp. pp. 96-113). Springer: Cham, Switzerland. Green open access

[img]
Preview
Text
langdon_2017_EuroGP.pdf - Accepted version

Download (948kB) | Preview

Abstract

High order mutation analysis of a software engineering benchmark, including schema and local optima networks, suggests program improvements may not be as hard to find as is often assumed. (1) Bit-wise genetic building blocks are not deceptive and can lead to all global optima. (2) There are many neutral networks, plateaux and local optima, nevertheless in most cases near the human written C source code there are hill climbing routes including neutral moves to solutions.

Type: Proceedings paper
Title: Visualising the search landscape of the triangle program
Event: European Conference on Genetic Programming
ISBN-13: 9783319556956
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-55696-3_7
Publisher version: http://dx.doi.org/10.1007/978-3-319-55696-3_7
Language: English
Additional information: © Springer International Publishing AG 2017. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10055926
Downloads since deposit
76Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item