- 2011
- Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima:
Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. Soft Comput. 15(12): 2415-2434 (2011) - Jaume Bacardit, Xavier Llorà:
Large scale data mining using genetics-based machine learning. GECCO (Companion) 2011: 1285-1310 - Hisao Ishibuchi, Shingo Mihara, Yusuke Nojima:
Training Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning. ICMLA (1) 2011: 229-234 - 2010
- Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera:
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study. IEEE Trans. Evol. Comput. 14(6): 913-941 (2010) - Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi:
Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. SEAL 2010: 309-318 - Genetics-Based Machine Learning. Encyclopedia of Machine Learning 2010: 457
- 2009
- Xavier Llorà, Anusha Priya, Rohit Bhargava:
Observer-invariant histopathology using genetics-based machine learning. Nat. Comput. 8(1): 101-120 (2009) - Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera:
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput. 13(10): 959-977 (2009) - Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima:
Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. FUZZ-IEEE 2009: 1724-1729 - Jaume Bacardit, Xavier Llorà:
Large scale data mining using genetics-based machine learning. GECCO (Companion) 2009: 3381-3412 - Yusuke Nojima, Yusuke Nakashima, Hisao Ishibuchi:
Effects of the Use of Multiple Fuzzy Partitions on the Search Ability of Multiobjective Fuzzy Genetics-Based Machine Learning. SoCPaR 2009: 341-346 - 2008
- Jaume Bacardit, Natalio Krasnogor:
Fast rule representation for continuous attributes in genetics-based machine learning. GECCO 2008: 1421-1422 - Kazutoshi Sakakibara, Yoshiro Fukui, Ikuko Nishikawa:
Genetics-Based Machine Learning Approach for Rule Acquisition in an AGV Transportation System. ISDA (3) 2008: 115-120 - 2007
- Hisao Ishibuchi, Yusuke Nojima:
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. Int. J. Approx. Reason. 44(1): 4-31 (2007) - Mohammad Saniee Abadeh, Jafar Habibi, Caro Lucas:
Intrusion detection using a fuzzy genetics-based learning algorithm. J. Netw. Comput. Appl. 30(1): 414-428 (2007) - Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg:
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO 2007: 1798-1805 - 2006
- Ryohei Takasu, Nobutada Fujii, Kanji Ueda, Motohiro Kobayashi:
Lot Release Control Using Genetics Based Machine Learning in a Semiconductor Manufacturing System. IAS 2006: 497-504 - H. Tamaki, Victor V. Kryssanov, S. Kitamura:
A simulation engine to support production scheduling using genetics-based machine learning. CoRR abs/cs/0606021 (2006) - 2005
- William N. L. Browne, Dan Scott:
An abstraction agorithm for genetics-based reinforcement learning. GECCO 2005: 1875-1882 - 2004
- Alexander F. Tulai, Franz Oppacher:
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System. GECCO (2) 2004: 1263-1274 - 2003
- Hisao Ishibuchi, Takashi Yamamoto:
Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling. Modelling with Words 2003: 209-228 - 2002
- Jessamyn Marie O. Yazon, Jolie A. Mayer-Smith, Rosemary J. Redfield:
Does the medium change the message? The impact of a web-based genetics course on university students' perspectives on learning and teaching. Comput. Educ. 38(1-3): 267-285 (2002) - 2001
- Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. 136(1-4): 109-133 (2001) - Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra:
Two-Sided, Genetics-Based Learning to Discover Novel Fighter Combat Maneuvers. EvoWorkshops 2001: 233-242 - Benjamin W. Wah, Arthur Ieumwananonthachai:
Teacher: A Genetics Based System for Learning and Generalizing Heuristics. Soft Computing in Case Based Reasoning 2001: 179-211 - 2000
- Dongcheng Hu, Rui Jiang, Yupin Luo:
An adaptive classifier system tree for extending genetics-based machine learning in a dynamic environment. Artif. Life Robotics 4(1): 7-11 (2000) - Hisao Ishibuchi, Tomoharu Nakashima:
Linguistic Rule Extraction by Genetics-Based Machine Learning. GECCO 2000: 195-202 - 1999
- H. Tamaki, Victor V. Kryssanov, S. Kitamura:
A simulation engine to support production scheduling using genetics-based machine learning. APMS 1999: 482-489 - 1998
- Jorma Laurikkala, Martti Juhola:
Population Size and Quality in Genetics-Based Rule Learning from Medical Data. MedInfo 1998: 389-393 - 1996
- Constantinos S. Pattichis, Christos N. Schizas:
Genetics-based machine learning for the assessment of certain neuromuscular disorders. IEEE Trans. Neural Networks 7(2): 427-439 (1996)