Quest reward optimization method for massive multiplayer online role playing games

초록

We propose a parameter optimization method for quest design of massive multiplayer online role playing games (MMORPGs). Our system consists of two techniques-selective sampling of user trajectory data and parameter optimization based on a genetic algorithm. Our system generates an optimized quest play path, which is difficult to estimate. It is useful for preventing over rewarding in MMORPG quest design. In practice, the suggested systems can be applied easily to any type of MMORPG with scalability, and will be useful for reducing the manual cost for MMORPG development.

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