Antonio Peregrín

	2011
16		Miguel Rodríguez, Diego M. Escalante, Antonio Peregrín: Efficient Distributed Genetic Algorithm for Rule extraction. Appl. Soft Comput. 11(1): 733-743 (2011)
15		L. Ignacio Lopez, Juan M. Bardallo, Miguel A. De Vega, Antonio Peregrín: REGAL-TC: a distributed genetic algorithm for concept learning based on REGAL and the treatment of counterexamples. Soft Comput. 15(7): 1389-1403 (2011)
	2010
14		Ruth M. Toscano, Javier Aroba, Antonio Peregrín: A methodology to generate compact and accurate fuzzy knowledge bases based on fuzzy clustering and evolutionary selection and tuning. FUZZ-IEEE 2010: 1-7
	2009
13		Juan M. Bardallo, Miguel A. De Vega, Francisco Alfredo Márquez, Antonio Peregrín: Parallel evolutionary multiobjective methodology for granularity and rule base learning in linguistic fuzzy systems. FUZZ-IEEE 2009: 1700-1705
12		Diego M. Escalante, Miguel Angel Rodriguez, Antonio Peregrín: An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data. HAIS 2009: 638-645
11		Antonio Angel Márquez, Francisco Alfredo Márquez, Antonio Peregrín: Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms. IFSA/EUSFLAT Conf. 2009: 1045-1050
10		Miguel A. De Vega, Juan M. Bardallo, Francisco Alfredo Márquez, Antonio Peregrín: Parallel Distributed Two-Level Evolutionary Multiobjective Methodology for Granularity Learning and Membership Functions Tuning in Linguistic Fuzzy Systems. ISDA 2009: 134-139
9		Antonio Angel Márquez, Francisco Alfredo Márquez, Antonio Peregrín: Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms. Evolutionary Intelligence 2(1-2): 39-51 (2009)
	2008
8		Antonio Angel Márquez, Francisco Alfredo Márquez, Antonio Peregrín: Cooperation between the Inference System and the Rule Base by Using Multiobjective Genetic Algorithms. HAIS 2008: 739-746
7		Antonio Peregrín, Miguel Angel Rodriguez: Efficient Distributed Genetic Algorithm for Rule Extraction. HIS 2008: 531-536
	2007
6		Francisco Alfredo Márquez, Antonio Peregrín, Francisco Herrera: Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems. IEEE T. Fuzzy Systems 15(6): 1162-1178 (2007)
5		Jesús Alcalá-Fdez, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín: Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems. Int. J. Intell. Syst. 22(9): 1035-1064 (2007)
	2004
4		José Manuel Andújar, José Manuel Bravo, Antonio Peregrín: Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic. Fuzzy Sets and Systems 148(3): 337-353 (2004)
3		Oscar Cordón, Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín: A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling. Int. J. Hybrid Intell. Syst. 1(1): 36-48 (2004)
	2003
2		Francisco Herrera, Francisco Alfredo Márquez, Antonio Peregrín: Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. EUSFLAT Conf. 2003: 100-104
	1999
1		Oscar Cordón, Francisco Herrera, Antonio Peregrín: Characterisation of implication operators in fuzzy rule based systems from basic properties. EUSFLAT-ESTYLF Joint Conf. 1999: 163-166

Coauthor Index

1	Jesús Alcalá-Fdez	[5]
2	José Manuel Andújar	[4]
3	Javier Aroba	[14]
4	Juan M. Bardallo	[10] [13] [15]
5	José Manuel Bravo	[4]
6	Oscar Cordón	[1] [3]
7	Diego M. Escalante	[12] [16]
8	Francisco Herrera	[1] [2] [3] [5] [6]
9	L. Ignacio Lopez	[15]
10	Antonio Angel Márquez	[8] [9] [11]
11	Francisco Alfredo Márquez	[2] [3] [5] [6] [8] [9] [10] [11] [13]
12	Miguel Rodríguez	[16]
13	Miguel Angel Rodriguez	[7] [12]
14	Ruth M. Toscano	[14]
15	Miguel A. De Vega	[10] [13] [15]

Colors in the list of coauthors

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