Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/24848
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLangdon, William Ben_UK
dc.contributor.authorVeerapen, Nadarajenen_UK
dc.contributor.authorOchoa, Gabrielaen_UK
dc.contributor.editorMcDermott, Jen_UK
dc.contributor.editorCastelli, Men_UK
dc.contributor.editorSekanina, Len_UK
dc.contributor.editorHaasdijk, Een_UK
dc.contributor.editorGarcía-Sánchez, Pen_UK
dc.date.accessioned2017-10-27T22:19:11Z-
dc.date.available2017-10-27T22:19:11Z-
dc.date.issued2017en_UK
dc.identifier.urihttp://hdl.handle.net/1893/24848-
dc.description.abstractHigh 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.en_UK
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.relationLangdon WB, Veerapen N & Ochoa G (2017) Visualising the Search Landscape of the Triangle Program. In: McDermott J, Castelli M, Sekanina L, Haasdijk E & García-Sánchez P (eds.) EuroGP 2017: Genetic Programming. Lecture Notes in Computer Science, 10196. The 20th European Conference on Genetic Programming (EuroGP), Amsterdam, The Netherlands, 19.04.2017-21.04.2017. Cham, Switzerland: Springer, pp. 96-113.en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 10196en_UK
dc.relation.urihttp://www.evostar.org/2017/cfp_eurogp.phpen_UK
dc.rightsPublisher policy allows this work to be made available in this repository; The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-55696-3_7en_UK
dc.subjectgenetic improvementen_UK
dc.subjectgenetic algorithmsen_UK
dc.subjectgenetic programmingen_UK
dc.subjectsoftware engineeringen_UK
dc.subjectheuristic methodsen_UK
dc.subjecttest equivalent higher order mutantsen_UK
dc.subjectfitness landscapeen_UK
dc.subjectlocal searchen_UK
dc.titleVisualising the Search Landscape of the Triangle Programen_UK
dc.typeConference Paperen_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage96en_UK
dc.citation.epage113en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailnve@cs.stir.ac.uken_UK
dc.citation.btitleEuroGP 2017: Genetic Programmingen_UK
dc.citation.conferencedates2017-04-19 - 2017-04-21en_UK
dc.citation.conferencelocationAmsterdam, The Netherlandsen_UK
dc.citation.conferencenameThe 20th European Conference on Genetic Programming (EuroGP)en_UK
dc.citation.date15/03/2017en_UK
dc.citation.isbn978-3-319-55695-6en_UK
dc.citation.isbn978-3-319-55696-3en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000413012200007en_UK
dc.identifier.scopusid2-s2.0-85015808527en_UK
dc.identifier.wtid540257en_UK
dc.contributor.orcid0000-0003-3699-1080en_UK
dc.contributor.orcid0000-0001-7649-5669en_UK
dc.date.accepted2017-01-09en_UK
dc.date.filedepositdate2017-01-23en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

Files in This Item:
File Description SizeFormat 
triangle.pdf947.04 kBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.