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dc.contributor.authorHsu, SHen_US
dc.contributor.authorLee, FLen_US
dc.contributor.authorWu, MCen_US
dc.date.accessioned2014-12-08T15:16:19Z-
dc.date.available2014-12-08T15:16:19Z-
dc.date.issued2006-07-01en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2005.09.012en_US
dc.identifier.urihttp://hdl.handle.net/11536/12105-
dc.description.abstractIn a time-to-market environment, designers may not be able to incorporate all the design features in a computer game. For each feature, there are several levels of implementation, which is corresponded to different levels of benefit as well as cost. Therefore, a trade-off decision for determining appropriate levels of implementation is very important, yet has been rarely studied in literature. This paper presents an approach to solve the trade-off decision problem. This approach applies the neural network technique and develops a genetic algorithm to optimize the design of computer games. By this approach, a near-optimal design alternative can be identified in a timely fashion. (c) 2005 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectneural networksen_US
dc.subjectgenetic algorithmsen_US
dc.subjectoptimizationen_US
dc.subjectcomputer gameen_US
dc.titleAn integrated approach to achieving optimal design of computer gamesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2005.09.012en_US
dc.identifier.journalEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.citation.volume31en_US
dc.citation.issue1en_US
dc.citation.spage145en_US
dc.citation.epage149en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000236903700016-
dc.citation.woscount3-
Appears in Collections:Articles


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