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Cuckoo-search and Gacha Games Rewards: How Can Improve the Relationship Between Player and Game by Using a Metaheuristic Algorithm?

机译:杜鹃搜索和Gacha游戏奖励:如何通过使用梅奈特族算法来改善玩家和游戏之间的关系?

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In this paper is proposed to implement a metaheuristic algorithm in the process of obtaining "gacha game rewards". The focus and objective of this study is to be able to find a balance between user satisfaction and the benefit of the company, for which two types of user were used, who cover the characteristics of time spent in the game and how much they have invested in this. For this, an objective function was proposed in which it encompasses the variables related to the user and the company, then the proposed algorithm was adapted to the proposed context. Finally, it was implemented and applied in a game prototype where its operation and performance are compared with a simulator. The proposed goal is to be able to demonstrate that the use of cuckoo search in these types of games.
机译:在本文中,提出在获得“GACHA游戏奖励”过程中实现成群质算法。 本研究的重点和目标是能够在用户满意度和公司的利益之间找到平衡,其中使用了两种类型的用户,涵盖了游戏中花费的时间以及他们投入的时间。 在这一点。 为此,提出了一种目标函数,其中它包括与用户和公司相关的变量,然后该算法适用于所提出的上下文。 最后,它是在游戏原型中实现和应用的,其中将其运行和性能与模拟器进行比较。 拟议的目标是能够证明在这些类型的游戏中使用杜鹃搜索。

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