標題: An integrated approach to achieving optimal design of computer games
作者: Hsu, SH
Lee, FL
Wu, MC
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: neural networks;genetic algorithms;optimization;computer game
公開日期: 1-Jul-2006
摘要: In 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.
URI: http://dx.doi.org/10.1016/j.eswa.2005.09.012
http://hdl.handle.net/11536/12105
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2005.09.012
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 31
Issue: 1
起始頁: 145
結束頁: 149
Appears in Collections:Articles


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