TY - GEN
T1 - Estimation of Influence of Each Variable on User's Evaluation in Interactive Evolutionary Computation
AU - Funaki, Ryohei
AU - Sugimoto, Kentaro
AU - Murata, Junichi
N1 - Funding Information:
ACKNOWLEDGMENT The research has been partly supported by JSPS Kakenhi (JP16K06417).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Recently, interactive evolutionary computation (IEC) has been extensively applied in those systems that recommend objects, such as images and sounds, to users based on their preference. If an IEC user's evaluation criteria are clearly known, they can be utilized for acceleration of IEC, merchandise development, and creativity support for designers. It is difficult to collect a large volume of evaluation data for their analysis because an IEC user cannot repeat the evaluation so many times. Therefore, the technique proposed in this study adopts paired comparison-based interactive differential evolution (IDE) to ease the burden of users, and it will extract the user evaluation criteria through less number of evaluation steps. These techniques estimate the user evaluation criteria using the distribution of solutions because IDE does not receive the evaluation values from its user. Techniques are proposed that estimate, through the IEC processes, the degree of influence of each variable on the evaluation by any given user. During the simulations, the proposed methods are evaluated on test problems.
AB - Recently, interactive evolutionary computation (IEC) has been extensively applied in those systems that recommend objects, such as images and sounds, to users based on their preference. If an IEC user's evaluation criteria are clearly known, they can be utilized for acceleration of IEC, merchandise development, and creativity support for designers. It is difficult to collect a large volume of evaluation data for their analysis because an IEC user cannot repeat the evaluation so many times. Therefore, the technique proposed in this study adopts paired comparison-based interactive differential evolution (IDE) to ease the burden of users, and it will extract the user evaluation criteria through less number of evaluation steps. These techniques estimate the user evaluation criteria using the distribution of solutions because IDE does not receive the evaluation values from its user. Techniques are proposed that estimate, through the IEC processes, the degree of influence of each variable on the evaluation by any given user. During the simulations, the proposed methods are evaluated on test problems.
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U2 - 10.1109/ICAwST.2018.8517220
DO - 10.1109/ICAwST.2018.8517220
M3 - Conference contribution
AN - SCOPUS:85057414131
T3 - 2018 9th International Conference on Awareness Science and Technology, iCAST 2018
SP - 167
EP - 174
BT - 2018 9th International Conference on Awareness Science and Technology, iCAST 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Awareness Science and Technology, iCAST 2018
Y2 - 19 September 2018 through 21 September 2018
ER -