{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T20:30:17Z","timestamp":1723494617759},"reference-count":16,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2017,10]]},"abstract":"<jats:p> This research uses Machine Learning (ML) techniques in order to aid search-based (SB) algorithms to improve level generation for physics-based puzzle games. These algorithms\u2019 performance are improved by reducing simulation time when the ML techniques are applied. Classification algorithms prevent levels with undesired traits to be evaluated during the simulation phase of the SB procedures. An Angry Birds clone is used for conducting the experiments and results report improvement using the combined approach against every SB algorithm by itself. <\/jats:p>","DOI":"10.1142\/s0218213017600193","type":"journal-article","created":{"date-parts":[[2017,10,19]],"date-time":"2017-10-19T02:10:05Z","timestamp":1508379005000},"page":"1760019","source":"Crossref","is-referenced-by-count":2,"title":["Speeding up Search-Based Algorithms for Level Generation in Physics-Based Puzzle Games"],"prefix":"10.1142","volume":"26","author":[{"given":"Leonardo T.","family":"Pereira","sequence":"first","affiliation":[{"name":"Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo 13566-590, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio F. M.","family":"Toledo","sequence":"additional","affiliation":[{"name":"Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, S\u00e3o Paulo 13566-590, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,10,18]]},"reference":[{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.1638"},{"key":"p_8","doi-asserted-by":"publisher","DOI":"10.1145\/2422956.2422957"},{"key":"p_13","first-page":"1","author":"Togelius J.","year":"2011","journal-title":"New York, USA"},{"key":"p_19","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.6"},{"key":"p_20","first-page":"1","author":"Smith G.","year":"2011","journal-title":"New York, USA"},{"key":"p_21","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00123"},{"key":"p_34","first-page":"363","author":"Raffe W. L.","year":"2011","journal-title":"NY, USA"},{"key":"p_36","first-page":"45","author":"Ferreira L.","year":"2014","journal-title":"New York, USA"},{"key":"p_37","first-page":"47","author":"Ferreira L.","year":"2014","journal-title":"New York, USA"},{"key":"p_38","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2011.2148116"},{"key":"p_39","first-page":"343","author":"Liapis A.","year":"2013","journal-title":"New York, USA"},{"key":"p_42","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2016.2561080"},{"key":"p_46","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2011.2163692"},{"key":"p_48","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2010.2041928"},{"key":"p_52","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2039141"},{"key":"p_57","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213017600193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:27:05Z","timestamp":1565134025000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213017600193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":16,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2017,10,18]]},"published-print":{"date-parts":[[2017,10]]}},"alternative-id":["10.1142\/S0218213017600193"],"URL":"https:\/\/doi.org\/10.1142\/s0218213017600193","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10]]}}}