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Music Composition Using Harmony Search Algorithm

机译:使用和声搜索算法的音乐创作

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摘要

Music pieces have been composed using a behavior-inspired evolutionary algorithm, harmony search (HS). The HS algorithm mimics behaviors of music players in an improvisation process, where each player produces a pitch based on one of three operations (random selection, memory consideration, and pitch adjustment) in order to find a better state of harmony which can be translated into a solution vector in the optimization process. When HS was applied to the organum (an early form of polyphonic music) composition, it could successfully compose harmony lines based on original Gregorian chant lines.
机译:音乐作品使用行为启发式进化算法和声搜索(HS)进行创作。 HS算法模仿即兴演奏过程中音乐播放器的行为,其中每个播放器都基于三种操作(随机选择,内存考虑和音高调整)之一来产生音高,以便找到更好的和声状态,并将其转化为优化过程中的解向量。将HS应用于管风琴(和弦音乐的早期形式)作品时,它可以成功地基于原始的格里高利圣歌谱线来组成和声线。

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