Tournament-style Evaluation using Kansei Evaluation

Tournament-style Evaluation using Kansei Evaluation
复制标题

使用感性评估的锦标赛式评估

DOI:
10.5057/ijae.12.395
复制
发表时间:
2013
影响因子:
0.3
通讯作者:
N. Muranaka
N. Muranaka
中科院分区:
--
文献类型:
--
作者:
H. Takenouchi;Masataka Tokumaru;N. Muranaka

文献摘要

参考文献

被引文献

相似文献

我们通过锦标赛式评估来描述交互式进化计算(IEC)的有效性,旨在减少IEC用户的评估负担。在锦标赛式评估中,用户使用配对比较来评估候选解决方案。我们使用三个评估对象(音乐、动画和图像)并评估三种方法的性能。第一个是普通交互式遗传算法(NIGA),它是传统的 10 阶段评估。第二种是两级锦标赛式评估(T2),仅评估两个候选人的优劣。第三种是四级锦标赛式评估(T4),逐步评估两名候选人的优劣。我们使用模仿人类感性的评估代理和真实用户的评估实验,通过数值模拟来检查锦标赛风格评估的有效性。仿真结果和实验结果表明,T2和T4比NIGA更能有效减轻IEC用户的评估负担。
We describe the effectiveness of interactive evolutionary computation (IEC) with tournament-style evaluation, aiming to reduce the evaluation load of IEC users. In tournament-style evaluation, users evaluate candidate solutions using a paired comparison. We use three evaluation objects (music, animation, and images) and evaluate the performance of three methods. The first is a normal interactive genetic algorithm (NIGA), which is a conventional 10-stage evaluation. The second is a tournament-style evaluation with two levels (T2), which evaluates only the superiority or inferiority of two candidates. The third is a tournament-style evaluation with four levels (T4), which progressively evaluates the superiority or inferiority of two candidates. We inspect the effectiveness of tournamentstyle evaluation by numerical simulations using an evaluation agent that imitates human’s Kansei and an evaluation experiment with real users. The simulation results and experimental results show that T2 and T4 more effective for reducing evaluation load of IEC users than NIGA.
DOI: 10.1109/tevc.2006.883465
发表时间: 2007-06
影响因子: 14.3
作者:
H. Takagi;M. Ohsaki
通讯作者: H. Takagi;M. Ohsaki