A Proposal of Interactive Tabu Search for Creating Beverage by Blending Source Juices

M. Fukumoto, Gan Haoran, Y. Hanada
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引用次数: 2

Abstract

Obtaining media content suited to user’s feelings is one of the essential targets of engineering. However, it is still difficult because feelings are different between users and are hard to be shown as a certain equation. As a method of a beverage, this study proposed Interactive Tabu Search (ITS) that blends source juices for creating new beverages suited to each user’s feelings. Tabu Search is one of stochastic local searches, and its properties are a continuous neighborhood search and a tabu list prohibiting cycling. A target of optimization was the ratio of the source juices. A concrete system based on the proposed ITS was constructed with the computer, Arduino, and peristaltic pumps. A tasting experiment composed of two steps was conducted. The target was delicious blended beverage. As a result, continuous increases in the fitness values related to deliciousness were observed, and a significant increase was observed in the maximum fitness. In the progress of the ratios, both different and common trends between the subjects were observed.
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一种混合原汁饮料的交互式禁忌搜索方法
获取适合用户感受的媒体内容是工程学的重要目标之一。但是,因为用户之间的感受是不同的,所以很难用某种公式来表示。作为一种饮料方法,本研究提出了交互式禁忌搜索(ITS),混合源果汁,以创造适合每个用户感受的新饮料。禁忌搜索是随机局部搜索的一种,它的性质是连续邻域搜索和禁止循环的禁忌列表。优化的目标是源果汁的比例。利用计算机、Arduino和蠕动泵构建了基于所提出ITS的具体系统。进行了分两个步骤的品尝实验。目标是美味的混合饮料。结果,与美味相关的适应度值持续增加,最大适应度显著增加。在比率的发展过程中,受试者之间既有不同的趋势,也有共同的趋势。
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