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Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences
Joint Authors
Sasaki, Yasunari
Tanaka, Misato
Miki, Mitsunori
Hiroyasu, Tomoyuki
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-31
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
We apply an interactive genetic algorithm (iGA) to generate product recommendations.
iGAs search for a single optimum point based on a user’s Kansei through the interaction between the user and machine.
However, especially in the domain of product recommendations, there may be numerous optimum points.
Therefore, the purpose of this study is to develop a new iGA crossover method that concurrently searches for multiple optimum points for multiple user preferences.
The proposed method estimates the locations of the optimum area by a clustering method and then searches for the maximum values of the area by a probabilistic model.
To confirm the effectiveness of this method, two experiments were performed.
In the first experiment, a pseudouser operated an experiment system that implemented the proposed and conventional methods and the solutions obtained were evaluated using a set of pseudomultiple preferences.
With this experiment, we proved that when there are multiple preferences, the proposed method searches faster and more diversely than the conventional one.
The second experiment was a subjective experiment.
This experiment showed that the proposed method was able to search concurrently for more preferences when subjects had multiple preferences.
American Psychological Association (APA)
Tanaka, Misato& Sasaki, Yasunari& Miki, Mitsunori& Hiroyasu, Tomoyuki. 2013. Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences. Applied Computational Intelligence and Soft Computing،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-461702
Modern Language Association (MLA)
Tanaka, Misato…[et al.]. Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences. Applied Computational Intelligence and Soft Computing No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-461702
American Medical Association (AMA)
Tanaka, Misato& Sasaki, Yasunari& Miki, Mitsunori& Hiroyasu, Tomoyuki. Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences. Applied Computational Intelligence and Soft Computing. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-461702
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461702