Genetic Programming Bibliography entries for Guangfei Yang

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8051

GP coauthors/coeditors: Xianneng Li, Kotaro Hirasawa, Jianliang Wang, Lian Lian, Tieju Ma, Tao Sun, Kaoru Shimada, Shingo Mabu, Yunlu Gong, Bing Yan, Xian Yang, Jiangning Wu, Yanzhong Dang, Weiguo Fan,

Genetic Programming Articles by Guangfei Yang

1. Guangfei Yang and Bing Yan. A Data-driven Causality Modeling Framework: An Empirical Study of Modeling the Effect of Indoor Air Quality Perception on Students' Cognitive Performance. Procedia Computer Science, 221:839-844, 2023. Tenth International Conference on Information Technology and Quantitative Management (ITQM 2023). details

2. Xian Yang and Guangfei Yang and Jiangning Wu and Yanzhong Dang and Weiguo Fan. Modeling relationships between retail prices and consumer reviews: A machine discovery approach and comprehensive evaluations. Decision Support Systems, 145:113536, 2021. details

3. Guangfei Yang and Xianneng Li and Jianliang Wang and Lian Lian and Tieju Ma. Modeling oil production based on symbolic regression. Energy Policy, 82(Supplement C):48-61, 2015. details

4. Guangfei Yang and Tao Sun and Jianliang Wang and Xianneng Li. Modeling the nexus between carbon dioxide emissions and economic growth. Energy Policy, 86:104-117, 2015. details

Genetic Programming PhD doctoral thesis Guangfei Yang

• Guangfei Yang. Study on association rule retrieval and association rule-based classification using evolutionary computation. PhD thesis, Waseda University, Japan, 2009. details

Genetic Programming conference papers by Guangfei Yang

1. Xianneng Li and Guangfei Yang and Kotaro Hirasawa. Evolving directed graphs with artificial bee colony algorithm. In 14th International Conference on Intelligent Systems Design and Applications, pages 89-94, 2014. details

2. Guangfei Yang and Shingo Mabu and Kaoru Shimada and Kotaro Hirasawa. A New Associative Classification Method by Integrating CMAR and RuleRank Model based on Genetic Network Programming. In ICCAS-SICE, 2009, pages 3874-3879, Fukuoka, 2009. IEEE. details

3. Guangfei Yang and Shingo Mabu and Kaoru Shimada and Yunlu Gong and Kotaro Hirasawa. Ranking association rules for classification based on genetic network programming. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1917-1918, Montreal, 2009. ACM. details

4. Guangfei Yang and Kaoru Shimada and Shingo Mabu and Kotaro Hirasawa. A Personalized Association Rule Ranking Method Based on Semantic Similarity and Evolutionary Computation. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 487-494, Hong Kong, 2008. IEEE Press. details