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.
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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 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 |
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