An integrated approach to achieving optimal design of computer games
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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.
论文关键词:Neural networks,Genetic algorithms,Optimization,Computer game
论文评审过程:Available online 3 October 2005.
论文官网地址:https://doi.org/10.1016/j.eswa.2005.09.012