caa a22 4500 605469563 CHVBK 20210128100323.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00500-014-1285-x doi (NATIONALLICENCE)springer-10.1007/s00500-014-1285-x Evaluating individuals in interactive genetic algorithms using variational granularity [Elektronische Daten] [Dunwei Gong, Jian Chen, Xiaoyan Sun, Jing Sun] User fatigue significantly restricts the practical applications of interactive genetic algorithms for complicated optimization problems. To alleviate user fatigue, an interactive genetic algorithm is presented in this study, where individuals are evaluated with varying accuracy. In the developed algorithm, multiple language sets with different granularities are proposed and applied to evaluate individuals. A subset of the whole language sets is chosen first to evaluate a population, adaptively to the convergence of the current population. For an individual in the current population, an appropriate language set is chosen from the subset to evaluate it according to the distance between the individual and the user's preferred region. The proposed algorithm is compared with some other algorithms in literature on curtain design. Empirical results demonstrate that the developed algorithm can significantly alleviate user fatigue and improve search efficiency. Springer-Verlag Berlin Heidelberg, 2014 Genetic algorithm nationallicence Interaction nationallicence User fatigue nationallicence Granularity nationallicence Entropy nationallicence Gong Dunwei School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut Chen Jian School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut Sun Xiaoyan School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut Sun Jing School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut Soft Computing Springer Berlin Heidelberg 19/3(2015-03-01), 621-635 1432-7643 19:3<621 2015 19 500 https://doi.org/10.1007/s00500-014-1285-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1285-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gong Dunwei School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut NATIONALLICENCE 700 1- Chen Jian School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut NATIONALLICENCE 700 1- Sun Xiaoyan School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut NATIONALLICENCE 700 1- Sun Jing School of Information and Electrical Engineering, China University of Mining and Technology, 21116, Xuzhou, People's Republic of China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/3(2015-03-01), 621-635 1432-7643 19:3<621 2015 19 500