Misaki Kaidan

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This paper presents a procedural generation method that creates visually attractive levels for the Angry Birds game. Besides being an immensely popular mobile game, Angry Birds has recently become a test bed for various artificial intelligence technologies. We propose a new approach for procedurally generating Angry Birds levels using Chinese style and(More)
This paper proposes Extreme Learning Surrogate assisted Asynchronous Multi-Objective Optimization Based on Decomposition (AELMOEA/D) that solves multi-objective optimization problems with expensive and different evaluation time by integrating a surrogate evaluation model and an asynchronous evolution method. Extreme Learning Surrogate assisted(More)
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