Journal Contributions: Published

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        2009  2008  2007  2006  2005  2004  2003  2002  2001  2000
        1999  1998

2009
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2008
	A.L. Garcia-Almanza, E.P.K. Tsang. Evolving decision rules to predict investment opportunities. International Journal of Automation and Computing 5:1 (2008) 22-31			bib
	G. Li, J.F. Wang, K.H. Lee, K.-S. Leung. Instruction-matrix-based genetic programming . IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 48:4 (2008) 1036-1049			bib
	G. Potgieter, A.P. Engelbrecht. Evolving model trees for mining data sets with continuous-valued classes. Expert Systems with Applications 35:4 (2008) 1513-1532			bib
	J.C. Tay, N.B. Ho. Evolving dispatching rules using genetic programming for solving multi-objective flexible job-shop problems. Computers and Industrial Engineering 54:3 (2008) 453-473			bib
2007
	U. Beldek, K. Leblebicioglu. Strategy creation, decomposition and distribution in particle navigation. Information Sciences 177:3 (2007) 755-770			bib
	J. Branke, P. Funes, F. Thiele. Evolutionary design of en-route caching strategies. Applied Soft Computing Journal 7:3 (2007) 890-898			bib
	C.-S. Kuo, T.-P. Hong, C.-L. Chen. Applying genetic programming technique in classification trees. Soft Computing 11:12 (2007) 1165-1172			bib
	R. Linden, A. Bhaya. Evolving fuzzy rules to model gene expression. Biosystems 88:1-2 (2007) 76-91			bib
	J. Lu, Y. Kishikawa, S. Tokinaga. Realization of feature description systems for clusters by rule generation based on genetic programming and its applications. Electronics and Communications in Japan, Part II: Electronics 90:9 (2007) 87-97			bib
2006
	H. Cao, F. Recknagel, G.J. Joo, D.K. Kim. Discovery of predictive rule sets for chlorophyll-a dynamics in the Nakdong River (Korea) by means of the hybrid evolutionary algorithm HEA. Ecological Informatics 1:1 (2006) 43-53			bib
	C.D. Geiger, R. Uzsoy, H. Aytug. Rapid modeling and discovery of priority dispatching rules: An autonomous learning approach. Journal of Scheduling 9:1 (2006) 7-34			bib
	J.H. Hong, S.B. Cho. The classification of cancer based on DNA microarray data that uses diverse ensemble genetic programming. Artificial Intelligence in Medicine 36:1 (2006) 43-58			bib
	J.J. Huang, G.H. Tzeng, C.S. Ong. Two-stage genetic programming (2SGP) for the credit scoring model. Applied Mathematics and Computation 174:2 (2006) 1039-1053			bib
	A.P. Mitra, A.A. Almal, B. George, D.W. Fry, P.F. Lenehan, V. Pagliarulo, R.J. Cote, R.H. Datar, W.P. Worzel. The use of genetic programming in the analysis of quantitative gene expression profiles for identification of nodal status in bladder cancer. BMC Cancer 6 (2006) 159-159			bib
	Y. Shan, D. Paull, R.I. McKay. Machine learning of poorly predictable ecological data. Ecological Modelling 195:1-2 (2006) 129-138			bib
	A. Tsakonas, G. Dounias, M. Doumpos, C. Zopounidis. Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming. Expert Systems with Applications 30:3 (2006) 449-461			bib
	A. Tsakonas. A comparison of classification accuracy of four genetic programming-evolved intelligent structures. Information Sciences 176:6 (2006) 691-724			bib
2005
	A. Hara, T. Ichimura, K. Yoshida. Discovering Multiple Diagnostic Rules from Coronary Heart Disease Database using Automatically Defined Groups. Journal of Intelligent Manufacturing 6:16 (2005) 645-661			bib
	K. Hennessy, M.G. Madden, J. Conroy, A.G. Ryder. An improved genetic programming technique for the classification of Raman spectra. Knowledge-Based Systems 18:4-5 (2005) 217-224			bib
	L.C. Kenny, W.B. Dunn, D.I. Ellis, J. Myers, P.N. Baker, D.B. Kell. Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning. Metabolomics 1:3 (2005) 227-234			bib
	C. Romero, S. Ventura, P. de Bra. Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Modeling and User-Adapted Interaction 14:5 (2005) 425-464			bib
2004
	C.C. Bojarczuk, H.S. Lopes, A.A. Freitas, E.L. Michalkiewicz. A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. Artificial Intelligence in Medicine 30:1 (2004) 27-48			bib
	W. Lu, I. Traore. Detecting New Forms of Network Intrusion Using Genetic Programming. Computational Intelligence 20:3 (2004) 475-494			bib
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	S. Sette, B. Wyns, L. Boullart. Comparing learning classifier systems and Genetic Programming: a case study. Engineering Applications of Artificial Intelligence 17:2 (2004) 199-204			bib
	A. Tsakonas, G. Dounias, J. Jantzen, H. Axer, B. Bjerregaard, D.G. von Keyserlingk. Evolving rule-based systems in two medical domains using genetic programming. Artificial Intelligence in Medicine 32:3 (2004) 195-216			bib
	E.P.K. Tsang, P. Yung, J. Li. EDDIE-Automation, a decision support tool for financial forecasting. Decision Support Systems 37:4 (2004) 559-565			bib
2003
	J.W. Davidson, D.A. Savic, G.A. Walters. Symbolic and numerical regression: experiments and applications. Information Sciences 150:1-2 (2003) 95-117			bib
	C.J. Neely, P.A. Weller. Intraday technical trading in the foreign exchange market. Journal of International Money and Finance 22:2 (2003) 223-227			bib
	K.C. Tan, Q. Yu, C.M. Heng, T.H. Lee. Evolutionary computing for knowledge discovery in medical diagnosis. Artificial Intelligence in Medicine 27:2 (2003) 129-154			bib
	Z.R. Yang, R. Thomson, T.C. Hodgman, J. Dry, A.K. Doyle, A. Narayanan, X. Wu. Searching for discrimination rules in protease proteolytic cleavage activity using genetic programming with a min-max scoring function. Biosystems 72:1-2 (2003) 159-176			bib
	C. Zhou, W. Xiao, T.M. Tirpak, P.C. Nelson. Evolving accurate and compact classification rules with gene expression programming. IEEE Transactions on Evolutionary Computation 7:6 (2003) 519-531			bib
2002
	B.C. Chien, J.Y. Lin, T.P. Hong. Learning discriminant functions with fuzzy attributes for classification using genetic programming. Expert Systems with Applications 23:1 (2002) 31-37			bib
	I. De Falco, A.D. Cioppa, E. Tarantino. Discovering interesting classification rules with genetic programming. Applied Soft Computing 1:4 (2002) 257-269			bib
	C. De Stefano, A.D. Cioppa, A. Marcelli. Character preclassification based on genetic programming. Pattern Recognition Letters 23:12 (2002) 1439-1448			bib
	D.B. Kell. Metabolomics and Machine Learning: Explanatory Analysis of Complex Metabolome Data Using Genetic Programming to Produce Simple, Robust Rules. Molecular Biology Reports 29:1-2 (2002) 237-241			bib
	D.B. Kell. Genotype-phenotype mapping: genes as computer programs. Trends in Genetics 18:11 (2002) 555-559			bib
2001
	C. Dimopoulos, A.M.S. Zalzala. Investigating the use of genetic programming for a classic one-machine scheduling problem. Advances in Engineering Software 32:6 (2001) 489-498			bib
	F. Hoffmann, O. Nelles. Genetic programming for model selection of TSK-fuzzy systems. Information Sciences 136:1-4 (2001) 7-28			bib
	C.J. Neely, P.A. Weller. Technical analysis and central bank intervention. Journal of International Money and Finance 20:7 (2001) 949-970			bib
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	P.A. Whigham, F. Recknagel. An inductive approach to ecological time series modelling by evolutionary computation. Ecological Modelling 146:1-3 (2001) 275-287			bib
2000
	M.R. Akbarzadeh-T, K. Kumbla, E. Tunstel, M. Jamshidi. Soft computing for autonomous robotic systems. Computers & Electrical Engineering 26:1 (2000) 5-32			bib
	A. Bastian. Identifying fuzzy models utilizing genetic programming. Fuzzy Sets and Systems 113:3 (2000) 333-350			bib
	H.E. Johnson, R.J. Gilbert, M.K. Winson, R. Goodacre, A.R. Smith, J.J. Rowland, M.A. Hall, D.B. Kell. Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules. Genetic Programming and Evolvable Machines 1:3 (2000) 243-258			bib
	M.L. Wong, W. Lam, K.S. Leung, P.S. Ngan, J.C.Y. Cheng. Discovering knowledge from medical databases using evolutionory algorithms. IEEE Engineering in Medicine and Biology Magazine 19:4 (2000) 45-55			bib
1999
	R. Goodacre, R.J. Gilbert. The detection of caffeine in a variety of beverages using Curie-point pyrolysis mass spectrometry and genetic programming. Analyst 124:7 (1999) 1069-1074			bib
	T. Lensberg. Investment behavior under Knightian uncertainty - An evolutionary approach. Journal of Economic Dynamics and Control 23:9-10 (1999) 1587-1604			bib
	P.S. Ngan, M.L. Wong, W. Lam, K.S. Leung, J.C.Y. Cheng. Medical data mining using evolutionary computation. Artificial Intelligence in Medicine 16:1 (1999) 73-96			bib
1998
	J.G. Taylor, R. Goodacre, W.G. Wade, J.J. Rowland, D.B. Kell. The deconvolution of pyrolysis mass spectra using genetic programming: application to the identification of some Eubacterium species. FEMS Microbiology Letters 160:2 (1998) 237-246			bib

 Contributions to Books Chapters

Jump to Year:   2009  2008  2007  2006  2001

2009
	R. Linden, A. Bhaya. Evolving a fuzzy rulebase to model gene expression. In: Y. Jin, L. Wang (Eds.) Studies in Fuzziness and Soft Computing 242: Fuzzy Systems in Bioinformatics and Computational Biology, Springer-Verlag, 2009, 191-215			bib
2008
	T. Yu, D. Wilkinson. A co-evolutionary fuzzy system for reservoir well logs interpretation. In: R. Roy, T. Yu, L. Davis, C.M. Baydar (Eds.) Studies in Computational Intelligence 88, Springer-Verlag, 2008, 199-218			bib
2007
	J.C. Tay, N.B. Ho. Designing dispatching rules to minimize total tardiness. In: K.P. Dahal, K.C. Tan, P.I. Cowling (Eds.) Evolutionary Scheduling, Springer Berlin / Heidelberg, 2007, 101-124			bib
2006
	D. Kim. Minimizing structural risk on decision tree classification. In: Y. Jin (Eds.) Multi-Objective Machine Learning, Springer Berlin / Heidelberg, 2006, 241-260			bib
2001
	A. Niimi, E. Tazaki. Extended Genetic Programming Using Apriori Algorithm for Rule Discovery. In: T. Terano, T. Nishida, A. Namatame, S. Tsumoto, Y. Ohsawa, T. Washio (Eds.) New Frontiers in Artificial Intelligence: Joint JSAI 2001 Workshop Post-Proceedings, Springer-Verlag, 2001, 525-532			bib

 Conference Contributions

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        2008  2007  2006  2005  2004  2003  2002  2001  2000  1999
        1998  1996  1995  1994

2008
	V. Akbarzadeh, A. Sadeghian, M.V. Dos Santos. Derivation of relational fuzzy classification rules using evolutionary computation. 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE08). Hong Kong (China, 2008) 1689-1693			bib
	S. Bandini, S. Manzoni, G. Mauri, S. Redaelli, L. Vanneschi. GP generation of pedestrian behavioral rules in an evacuation model based on SCA. Eighth International Conference on Cellular Automata for Research and Industry (ACRI08). Lecture Notes in Computer Science 5191, Springer-Verlag 2008, Yokohama (Japan, 2008) 409-416			bib
	A. Beham, S. Winkler, S. Wagner, M. Affenzeller. A genetic programming approach to solve scheduling problems with parallel simulation. 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS08). Miami (USA, 2008) 1-5			bib
	F.J. Berlanga, M.J. del Jesus, F. Herrera. A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS08). WittenBommerholz (Germany, 2008) 101-106			bib
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	Y.T. Lim, P.C. Cheng, J.A. Clark, P. Rohatgi. Policy evolution with Genetic Programming: A comparison of three approaches. 2008 IEEE Congress on Evolutionary Computation (CEC08). Hong Kong (China, 2008) 1792-1800			bib
	Y.T. Lim, P. Rohatgi, P.C. Cheng, J.A. Clark. MLS security policy evolution with genetic programming. 10th Annual Conference on Genetic and Evolutionary Computation (GECCO08). Atlanta (USA, 2008) 1571-1578			bib
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	D. Mallick, V.C.S. Lee, Y.S. Ong. An empirical study of genetic programming generated trading rules in computerized stock trading service system. 5th International Conference Service Systems and Service Management (ICSSSM08). Melbourne (Australia, 2008) 1-6			bib
	M. Mucientes, J.C. Vidal, A. Bugarín, M. Lama. Processing times estimation in a manufacturing industry through genetic programming. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS08). WittenBommerholz (Germany, 2008) 95-100			bib
	P. Saks, D. Maringer. Genetic programming in statistical arbitrage. Applications of Evolutionary Computing (EvoWorkshops08). Lecture Notes in Computer Science 4974, Springer-Verlag 2008, Naples (Italy, 2008) 73-82			bib
	I. Tanev, H. Yamazaki, T. Hiroyasu, K. Shimohara. Evolution of general driving rules of a driving agent. 10th International Conference on the Simulation of Adaptive Behavior (SAB08). Lecture Notes in Computer Science 5040, Springer-Verlag 2008, Toyonaka (Japan, 2008) 488-498			bib
	A. Tsakonas, G. Dounias. Predicting defects in software using grammar-guided genetic programming. 5th Hellenic Conference on Artificial Intelligence (SETN08). Lecture Notes in Computer Science 5138, Springer-Verlag 2008, Syros (Greece, 2008) 413-418			bib
	H. Yamazaki, I. Tanev, T. Hiroyasu, K. Shimohara. On the generality of the evolved driving rules of an agent operating a model of a car. 2008 IEEE Congress on Evolutionary Computation (CEC08). Hong Kong (China, 2008) 4138-4145			bib
2007
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	C.-S. Kuo, T.-P. Hong, C.-L. Chen. A knowledge-acquisition strategy based on genetic programming. 2007 International Conference on Convergence Information Technology (ICCIT07). Gyengju (Korea, 2007) 217-221			bib
	Y. Kurosawa, A. Hara, K. Mera, T. Ichimura. Reconsideration of the effectiveness on extracting computer diagnostic rules by automatically defined groups. 11th International Conference Knowledge-Based Intelligent Information and Engineering Systems (KES07). Lecture Notes in Computer Science 4693, Springer-Verlag 2007, Vietri sul Mare (Italy, 2007) 411-418			bib
	Y. Kurosawa, A. Hara, T. Ichimura, Y. Kawano. Extraction of error detection rules without supervised information from log files using Automatically Defined Groups. 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC07). Montreal (Canada, 2007) 5314-5319			bib
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	N.G. Pavlidis, E.G. Pavlidis, M.G. Epitropakis, V.P. Plagianakos, M.N. Vrahatis. Computational intelligence algorithms for risk-adjusted trading strategies. 2007 IEEE Congress on Evolutionary Computation (CEC07). Singapore (Singapore, 2007) 540-547			bib
	A.P. Reynolds, B. de la Iglesia. Rule induction for classification using multi-objective genetic programming. Fourth International Conference on Evolutionary Multi-Criterion Optimization (EMO07). Lecture Notes in Computer Science 4403, Springer-Verlag 2007, Matsushima (Japan, 2007) 516-530			bib
	S. Sakprasat, M.C. Sinclair. Classification rule mining for automatic credit approval using genetic programming. 2007 IEEE Congress on Evolutionary Computation (CEC07). Singapore (Singapore, 2007) 548-555			bib
2006
	F.J. Berlanga, M.J. del Jesus, M.J. Gacto, F. Herrera. A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. The Eighth International Conference on Artificial Intelligence and Soft Computing (ICAISC06). Lecture Notes in Computer Science 4029, Springer 2006, Zakopane (Poland, 2006) 182-191			bib
	M. Freischlad, M. Schnellenbach-Held, T. Pullmann. Evolutionary generation of implicative fuzzy rules for design knowledge representation. 13th Workshop on Intelligent Computing in Engineering and Architecture (EG-ICE06). Lecture Notes in Computer Science 4200, Springer 2006, Ascona (Switzerland, 2006) 222-229			bib
	A.L. Garcia-Almanza, E.P.K. Tsang. The repository method for chance discovery in financial forecasting. 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES06). Lecture Notes in Computer Science 4253, Springer 2006, Bournemouth (UK, 2006) 30-37			bib
	A.L. Garcia-Almanza, E.P.K. Tsang. Simplifying Decision Trees Learned by Genetic Programming. The 2006 IEEE Congress on Evolutionary Computation (CEC06). Vancouver (Canada, 2006) 2142-2148			bib
	A. Kiani-B, M.R. Akbarzadeh-T. Automatic text summarization using: Hybrid fuzzy GA-GP. The 2006 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE06). Vancouver (Canada, 2006) 977-983			bib
	K. Lavangnananda. Self-adjusting associative rules generator for classification: An evolutionary computation approach. 2006 IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals06). Logan (USA, 2006) 237-242			bib
	G.L. Pappa, A.A. Freitas. Automatically evolving rule induction algorithms. 17th European Conference on Machine Learning (ECML06). Lecture Notes in Computer Science 4212, Springer 2006, Berlin (Germany, 2006) 341-352			bib
	T.K. Paul, Y. Hasegawa, H. Iba. Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier. The 2006 IEEE Congress on Evolutionary Computation (CEC06). Vancouver (Canada, 2006) 2521-2528			bib
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	W.H. Shum, K.S. Leung, M.L. Wong. Learning non-overlapping rules A method based on Functional Dependency Network and MDL Genetic Programming. The 2006 IEEE Congress on Evolutionary Computation (CEC06). Vancouver (Canada, 2006) 702-709			bib
	A. Tsakonas, N. Ampazis, G. Dounias. Towards a comprehensible and accurate credit management model: Application of four computational intelligence methodologies. The 2006 International Symposium on Evolving Fuzzy Systems (EFS06). Lake District (UK, 2006) 295-299			bib
	W.R. Weinert, H.S. Lopes. GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming. The Second International Conference on Advanced Data Mining and Applications (ADMA06). Lecture Notes in Computer Science 4093, Springer 2006, Xian (China, 2006) 871-880			bib
2005
	F.J. Berlanga, M.J. del Jesus, F. Herrera. Learning compact fuzzy rule-based classification systems with genetic programming. IVth Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT05). Barcelona (Spain, 2005) 1027-1032			bib
	F.J. Berlanga, M.J. del Jesus, F. Herrera. Learning Fuzzy Rules using Genetic Programming: Context-free grammar definition for high-dimensionality problems. I International workshop on Genetic Fuzzy System (GFS05). Granada (Spain, 2005) 136-141			bib
	L. Hirsch, M. Saeedi, R. Hirsch. Evolving Rules for Document Classification. 8th European Conference on Genetic Programming (EuroGP05). Lecture Notes in Computer Science 3447, Springer-Verlag 2005, Lausanne (Switzerland, 2005) 85-95			bib
	N.B. Ho, J.C. Tay. Evolving dispatching rules for solving the flexible job-shop problem. The 2005 IEEE Congress on Evolutionary Computation (CEC05). Edinburgh (Scotland, 2005) 2848-2855			bib
	J.H. Hong, S.B. Cho. Cancer Prediction Using Diversity-Based Ensemble Genetic Programming. Second International Conference on Modeling Decisions for Artificial Intelligence (MDAI05). Lecture Notes in Computer Science 3558, Springer-Verlag 2005, Tsukuba (Japan, 2005) 294-304			bib
	T. Murata, T. Nakamura, S. Nagamine. Performance of genetic network programming for learning agents on perceptual aliasing problem. 2005 IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC05). Hawaii (USA, 2005) 2317-2322			bib
	Z. Pan, J. Reggia. Evolutionary Discovery of Arbitrary Self-replicating Structures. 5th International Conference on Computational Science (ICCS05). Lecture Notes in Computer Science 3515, Springer-Verlag 2005, Atlanta (USA, 2005) 404-411			bib
	F. Rastegar, B.N. Araabi, C. Lucast. An evolutionary fuzzy modeling approach for ANFIS architecture. The 2005 IEEE Congress on Evolutionary Computation (CEC05). Edinburgh (Scotland, 2005) 2182-2189			bib
	W.H. Shum, K.S. Leung, M.L. Wong. Co-evolutionary Rule-Chaining Genetic Programming. 6th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL05). Lecture Notes in Computer Science 3578, Springer-Verlag 2005, Brisbane (Australia, 2005) 546-554			bib
	C. Yin, S. Tian, H. Huang, J. He. Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection. First International Conference on Advances in Natural Computation (ICNC05). Lecture Notes in Computer Science 3612, Springer-Verlag 2005, Changsha (China, 2005) 323-331			bib
2004
	A. Hara, T. Ichimura, T. Takahama, Y. Isomichi. Extraction of Rules from Coronary Heart Disease Database Using Automatically Defined Groups. 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES04). Lecture Notes in Computer Science 3214, Springer 2004, Wellington (New Zealand, 2004) 1089-1096			bib
	J.H. Hong, S.B. Cho. Lymphoma Cancer Classification Using Genetic Programming with SNR Features. VII European Conference on Genetic Programming (EuroGP04). Lecture Notes in Computer Science 3003, Springer-Verlag 2004, Coimbra (Portugal, 2004) 78-88			bib
2003
	C.C. Bojarczuk, H.S. Lopes, A.A. Freitas. An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients. 6th European Conference on Genetic Programming (EuroGP03). Lecture Notes in Computer Science 2610, Springer-Verlag 2003, Essex (UK, 2003) 11-21			bib
	E. Franzen, D.A. Couto. Automatic Discovery of Brazilian Portuguese Letter to Phoneme Conversion Rules through Genetic Programming. VI International Workshop on Computational Processing of the Portuguese Language (PROPOR03). Lecture Notes in Computer Science 2721, Springer-Verlag 2003, Faro (Portugal, 2003) 62-65			bib
	W. Lu, I. Traore. Detecting new forms of network intrusion using genetic programming. The 2003 Congress on Evolutionary Computation (CEC03). Canberra (Australia, 2003) 2165-2172			bib
	S. Refat, M. El-Telbany, H. Hefny, A. Bahnasawi. Discovering the classification rules for Egyptian stock market using genetic programming. 46th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS03). Cairo (Egypt, 2003) 952-955			bib
2002
	J.E. Devaney, J.G. Hagedorn. Discovery in Hydrating Plaster Using Machine Learning Methods. 5th International Conference on Discovery Science (DS02). Lecture Notes in Computer Science 2534, Springer 2002, Lubeck (Germany, 2002) 47-58			bib
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	J. Smith III. Data mining for multi-agent fuzzy decision tree structure and rules. Fifth International Conference on Information Fusion (ISIF'02). Annapolis (USA, 2002) 72-79			bib
	K.C. Tan, A. Tay, T.H. Lee, C.M. Heng. Mining multiple comprehensible classification rules using genetic programming. The 2002 Congress on Evolutionary Computation (CEC'02). Piscataway (USA, 2002) 1302-1307			bib
	A. Tsakonas, G. Dounias. Hierarchical classification trees using type-constrained genetic programming. First International IEEE Symposium: Intelligent Systems (IEEE IS'02). Varna (Burgaria, 2002) 50-54			bib
2001
	R. Cattral, F. Oppacher, D. Deugo. Supervised and unsupervised data mining with an evolutionary algorithm. The 2001 Congress on Evolutionary Computation (CEC01). Seoul (Korea, 2001) 767-774			bib
	C. De Stefano, A.D. Cioppa, A. Marcelli, F. Matarazzo. Grouping Character Shapes by Means of Genetic Programming. IV International Workshop on Visual Form (IWVF01). Lecture Notes in Computer Science 2059, Springer-Verlag 2001, Capri (Italy, 2001) 504-513			bib
	Y. Hassan, E. Tazaki. Rule extraction based on rough set theory combined with genetic programming and its application to medical data analysis. The Seventh Australian and New Zealand Intelligent Information Systems Conference (ANZIIS01). Perth (Australia, 2001) 385-390			bib
	R.R.F. Mendes, F.B. Vodnika, A.A. Freitas, J.C. Nievola. Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. V European Conference on Principles of Data Mining and Knowledge Discovery (PKDD01). Lecture Notes in Computer Science 2168, Springer-Verlag 2001, Freiburg (Germany, 2001) 314-325			bib
2000
	A. Niimi, E. Tazaki. Rule Discovery Technique using Genetic Programming Combined with Apriori Algorithm. III International Conference Discovery Science (DS00). Lecture Notes in Computer Science 1967, Springer-Verlag 2000, Kyoto (Japan, 2000) 273-277			bib
	C. Setzkorn, R.C. Paton, L. Bricker, R.G. Farquharson. Application of a Genetic Programming Based Rule Discovery System to Recurring Miscarriage Data. Medical Data Analysis: First International Symposium (ISMDA00). Lecture Notes in Computer Science 1933, Springer-Verlag 2000, Frankfurt (Germany, 2000) 250-259			bib
	E.P.K. Tsang, J. Li. Combining Ordinal Financial Predictions with Genetic Programming. Second International Conference on Intelligent Data Engineering and Automated Learning (IDEAL00). Lecture Notes in Computer Science 1983, Springer 2000, Shatin (China, 2000) 532-537			bib
1999
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	A. Homaifar, D. Battle, E. Tunstel. Soft computing-based design and control for mobile robot path tracking. 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA99). Monterey (USA, 1999) 35-40			bib
	J. Li, E.P.K. Tsang. Investment decision making using FGP: a case study. The 1999 Congress on Evolutionary Computation (CEC99). Washington DC (USA, 1999) 1253-1259			bib
	A. Radi, R. Poli. Genetic Programming Discovers Efficient Learning Rules for the Hidden and Output Layers of Feedforward Neural Networks. Genetic Programming: Second European Workshop (EuroGP99). Lecture Notes in Computer Science 1598, Springer-Verlag 1999, Goteborg (Sweden, 1999) 120-134			bib
	M.L. Wong, W. Lam, K.S. Leung, J.C.Y. Cheng. Applying evolutionary algorithms to discover knowledge from medical databases. 1999 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC99). Tokyo (Japan, 1999) 936-941			bib
1998
	R. Aler, D. Borrajo, P. Isasi. Evolving heuristics for planning. 7th International Conference on Evolutionary Programming (EP98). Lecture Notes in Computer Science 1447, Springer 1998, San Diego (USA, 1998) 745-754			bib
	S.A. Stanhope, J.M. Daida. Genetic programming for automatic target classification and recognition in synthetic aperture radar imagery. 7th International Conference on Evolutionary Programming (EP98). Lecture Notes in Computer Science 1447, Springer 1998, San Diego (USA, 1998) 735-744			bib
1996
	E. Tunstel, M.R. Akbarzadeh-T, K. Kumbla, M. Jamshidi. Soft computing paradigms for learning fuzzy controllers with applications to robotics. 1996 Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS96). Berkeley (USA, 1996) 355-359			bib
1995
	A.N. Edmonds, D. Burkhardt, O. Adjei. Genetic programming of fuzzy logic production rules. IEEE International Conference on Evolutionary Computation (CEC95). Perth (Australia, 1995) 765-770			bib
1994
	D. Andre. Learning and upgrading rules for an OCR system using genetic programming. First IEEE Conference on Evolutionary Computation (CEC94). Orlando (USA, 1994) 462-467			bib

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