Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/726
Title: A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation
Authors: Topcu, Şafak
Etaner-Uyar, A. Sima
Keywords: Games
Map sketch generation
Procedural content generation
Computational intelligence
Nsgaiii
Evolutionary multiobjective optimization
Source: 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
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.
Description: ##nofulltext##
Şafak Topçu (MEF Author)
URI: https://hdl.handle.net/20.500.11779/726
http://dx.doi.org/10.1007/978-3-319-66939-7_11
ISSN: 2194-5365
2194-5357
Appears in Collections:Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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