A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation
| dc.contributor.author | Topcu, Şafak | |
| dc.contributor.author | Etaner-Uyar, A. Sima | |
| dc.date.accessioned | 2019-02-28T13:04:26Z | |
| dc.date.accessioned | 2019-02-28T11:08:21Z | |
| dc.date.available | 2019-02-28T13:04:26Z | |
| dc.date.available | 2019-02-28T11:08:21Z | |
| dc.date.issued | 2018 | |
| dc.description | ##nofulltext## | |
| dc.description | Şafak Topçu (MEF Author) | |
| dc.description.abstract | In this paper, we present a method to generate map sketches for strategy games using a state of the art many-objective evolutionary algorithm, namely NSGAIII. The map sketch generator proposed in this study outputs a three objective Pareto-front in which all the points are fair and strong in different aspects. The generated map sketch can be used by level designers to create real time strategy maps effectively and/or help them see multiple aspects of a game map simultaneously. The algorithm can also be utilised as a benchmark generator to be used in tests for various cases such as shortest path algorithms and strategy game bots. The results reported in this paper are very promising and promote further study. | |
| dc.identifier.citation | Topcu, S., & Etaner-Uyar, A. S., Topcu, S. A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation.Conference: 17th Annual UK Workshop on Computational Intelligence (UKCI) Location: Cardiff, ENGLAND 1652, p.132-144 | |
| dc.identifier.doi | 10.1007/978-3-319-66939-7_11 | |
| dc.identifier.issn | 2194-5365 | |
| dc.identifier.issn | 2194-5357 | |
| dc.identifier.scopus | 2-s2.0-85029573661 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11779/726 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/978-3-319-66939-7_11 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Conference: 17th Annual UK Workshop on Computational Intelligence (UKCI) Location: Cardiff, ENGLAND Date: SEP 06-08, 2017 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Games | |
| dc.subject | Map sketch generation | |
| dc.subject | Procedural content generation | |
| dc.subject | Computational intelligence | |
| dc.subject | Nsgaiii | |
| dc.subject | Evolutionary multiobjective optimization | |
| dc.title | A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Topcu, Şafak | |
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| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | |
| gdc.description.endpage | 144 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 132 | |
| gdc.description.volume | 650 | |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.identifier.openalex | W2750858375 | |
| gdc.identifier.wos | WOS:000449922000011 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
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| gdc.openalex.collaboration | National | |
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| gdc.opencitations.count | 1 | |
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| gdc.publishedmonth | Eylül | |
| gdc.scopus.citedcount | 0 | |
| gdc.wos.citedcount | 0 | |
| gdc.wos.documenttype | Proceedings Paper | |
| gdc.wos.indexdate | 2018 | |
| gdc.wos.publishedmonth | Eylül | |
| gdc.yokperiod | YÖK - 2018-19 | |
| relation.isOrgUnitOfPublication | a6e60d5c-b0c7-474a-b49b-284dc710c078 | |
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