SCI2S Publications (M. Lozano)

Number of Results: 140

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2017 (4)

• [2105] F. J. Rodriguez , F. Glover, C. García-Martínez, R. Martí, M. Lozano. GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem. Computers & Operations Research 78 (2017) 243-254. doi: 10.1016/j.cor.2016.09.005
  
• [2111] M. Lozano, C. García-Martínez, F. J. Rodriguez, H. Trujillo. Optimizing Network Attacks by Artificial Bee Colony. Information Sciences 377 (2017) 30-50. doi: 10.1016/j.ins.2016.10.014
  
• [2140] M. Lozano-Lozano, J.A. Moral-Muñoz, N. Galiano-Castillo, L. Martin-Martin, C. Fernandez-Lao, M. Arroyo-Morales, I. Cantarero-Villanueva. Designing BENECA, a m-Health app to Monitor Diet and Physical Activity in Cancer Survivors. 14th International Work-Conference on Artificial Neural Networks (IWANN2017), Cádiz (Spain), June 14-16, 2017. doi: 10.1007/978-3-319-59147-6_6
  
• [2355] C. García-Martínez, P.D. Gutiérrez, D. Molina, M. Lozano, F. Herrera. Since CEC 2005 competition on realparameter optimisation: a decade of research, progress and comparative analysis's weakness. Soft Computing, 21:19 (2017) 5573-5583. doi: 10.1007/s00500-016-2471-9
  

2016 (2)

• [2097] M. Lozano, M. Laguna, R. Martí, F. J. Rodriguez, C. García-Martínez. A genetic algorithm for the minimum generating set problem. Applied Soft Computing 48 (2016) 254-264. doi: 10.1016/j.asoc.2016.07.020
  
• [2071] M. Lozano, F. J. Rodriguez, D. Peralta, C. García-Martínez. Randomized Greedy Multi-Start Algorithm for the Minimum Common Integer Partition Problem. Engineering Applications of Artificial Intelligence 50 (2016) 226-235. doi: 10.1016/j.engappai.2016.01.037
  

2015 (2)

• [1862] M. Lozano, F. J. Rodriguez, C. García-Martínez. A Two-Stage Constructive Method for the Unweighted Minimum String Cover Problem. Knowledge-Based Systems 77 (2015) 103-113. doi: 10.1016/j.knosys.2015.01.003
  
• [1865] C. García-Martínez, C. Blum, F. J. Rodriguez, M. Lozano. The Firefighter Problem: Empirical Results on Random Graphs. Computers & Operations Research 60 (2015) 55-66. doi: http://dx.doi.org/10.1016/j.cor.2015.02.004
  

2014 (3)

• [1697] C. García-Martínez, F. Glover, F. J. Rodriguez, M. Lozano, R. Martí. Strategic Oscillation for the Quadratic Multiple Knapsack Problem . Computational Optimization and Applications 58:1 (2014) 161-185. doi: 10.1007/s10589-013-9623-y
  
• [1581] M. Lozano, F. Glover, C. García-Martínez, F. J. Rodriguez, R. Martí. Tabu Search with Strategic Oscillation for the Quadratic Minimum Spanning Tree. IIE Transactions 46:4 (2014) 1-5 .
  
• [1665] C. García-Martínez, F. J. Rodriguez, M. Lozano. Tabu-Enhanced Iterated Greedy Algorithm: A Case Study in the Quadratic Multiple Knapsack Problem. European Journal of Operational Research 232:3 (2014) 454–463. doi: 10.1016/j.ejor.2013.07.035
  

2013 (5)

• [1586] F. J. Rodriguez, M. Lozano, C. García-Martínez, J. D. González-Barrera. An Artificial Bee Colony Algorithm for the Maximally Diverse Grouping Problem. Information Sciences, 230 (2013) 183-196. doi: 10.1016/j.ins.2012.12.020
  
• [1624] F. J. Rodriguez, M. Lozano, C. Blum, C. García-Martínez. An Iterated Greedy Algorithm for the Large-Scale Unrelated Parallel Machines Scheduling Problem. Computers & Operations Research 40:7 (2013) 1829-1841. doi: 10.1016/j.cor.2013.01.018
  
• [1691] M. Lozano, A. Duarte, F. Gortázar, R. Martí. A hybrid metaheuristic for the cyclic antibandwidth problem. Knowledge-Based Systems 54 (2013) 103-113. doi: 10.1016/j.knosys.2013.08.026
  
• [1713] F. J. Rodriguez, C. García-Martínez, C. BLum, M. Lozano. Un algoritmo voraz iterativo para el problema de la planificación sobre máquinas paralelas no relacionadas. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2013, Madrid (Spain), 902-911, 17-20 September 2013.
  
• [1714] C. García-Martínez, F. J. Rodriguez, M. Lozano. Un Algoritmo Voraz Iterativo con Memoria de Destrucciones Tabú para el Problema de las Múltiples Mochilas Cuadráticas. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2013, Madrid (Spain), 199-208, 17-20 September 2013.
  

2012 (10)

• [1462] C. García-Martínez, M. Lozano, F. J. Rodriguez. A simulated annealing method based on a specialised evolutionary algorithm. Applied Soft Computing 12:2 (2012) 573-588. doi: 10.1016/j.asoc.2011.11.007
  
• [1463] F. J. Rodriguez, C. García-Martínez, M. Lozano. Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test. IEEE Transactions on Evolutionary Computation 16:6 (2012) 787-800. doi: 10.1109/TEVC.2012.2182773
  
• [1528] F. J. Rodriguez, C. Blum, C.García-Martínez, M. Lozano. GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times. Annals of Operations Research 201:1 (2012) 383-401. doi: 10.1007/s10479-012-1164-8
  
• [1533] C. García-Martínez, F. J. Rodriguez, M. Lozano. Arbitrary Function Optimisation with Metaheuristics. No Free Lunch and Real-world Problems. Soft Computing 16 (2012) 2115–2133. doi: /10.1007/s00500-012-0881-x
  
• [1582] M. Lozano, A Duarte, F. Gortázar, R. Martí. Variable neighborhood search with ejection chains for the antibandwidth problem. Journal of Heuristics 18 (2012) 919–938. doi: 10.1007/s10732-012-9213-7
  
• [1589] F. J. Rodriguez, C. Blum, M. Lozano, C. García-Martínez. Iterated Greedy Algorithms for the Maximal Covering Location Problem. In 12th European Conference on Evolutionary Computation in Combinatorial Optimisation, EVOCOP 2012, volume 7245 of Lecture Notes in Computer Science, Malaga (Spain), pp. 172- 181, 2012.
  
• [1590] F. J. Rodriguez, C. García-Martínez, C. Blum, M. Lozano. An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem. In 12th International Conference on Parallel Problem Solving From Nature, PPSN 2012, volume 7492 of Lecture Notes in Computer Science, Taormina (Italy), pp. 143-152, 2012..
  
• [1591] F. J. Rodriguez, C. García-Martínez, M. Lozano. Metaheurísticas híbridas combinando algoritmos evolutivos y enfriamiento simulado: taxonomía y estudio comparativo y de sinergia. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 243-250, Febrero 8-10, 2012..
  
• [1592] J.D González-Barrera, F. J. Rodriguez, M. Lozano. Algoritmos Voraces Iterativos para el Problema de Agrupación de Máxima Diversidad. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 133-140, Febrero 8-10, 2012.
  
• [1593] C. García-Martínez, F. J. Rodriguez, M. Lozano. Análisis Empírico del No Free Lunch en Problemas Binarios Reales. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 111-116, Febrero 8-10, 2012.
  

2011 (5)

• [1323] D. Molina, M. Lozano, A.M. Sánchez, F. Herrera. Memetic Algorithms Based on Local Search Chains for Large Scale Continuous Optimisation Problems: MA-SSW-Chains . Soft Computing, 15 (2011) 2201-2220. doi: 10.1007/s00500-010-0647-2
  
• [1410] M. Lozano, D. Molina, C. García-Martínez. Iterated greedy for the maximum diversity problem. European Journal of Operational Research, 214, (2011), 31-38. doi: 10.1016/j.ejor.2011.04.018
  
• [1435] C. García-Martínez, F. J. Rodriguez, M. Lozano. Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation. Soft Computing 15:11 (2011) 2109-2126. doi: 10.1007/s00500-010-0641-8
  
• [1476] C. García-Martínez, F. J. Rodriguez, M. Lozano. Analysing the significance of no free lunch theorems on the set of real-world binary problems. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 344-349, 22–24 November 2011.
  
• [1821] M. Lozano, D. Molina, F. Herrera. Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Computing 15:11 (2011) 2085-2087. doi: 10.1007/s00500-010-0639-2
  

2010 (8)

• [0849] D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Continuous Optimization Based on Local Search Chains. Evolutionary Computation, 18:1 (2010) 27-63. doi: 10.1162/evco.2010.18.1.18102
  
• [1081] M. Lozano, C. García-Martínez. Hybrid Metaheuristics with Evolutionary Algorithms Specializing in Intensification and Diversification: Overview and Progress Report. Computers & Operations Research 37:3 (2010) 481-497.
  
• [1082] C. García-Martínez, M. Lozano. Evaluating a Local Genetic Algorithm as Context-Independent Local Search Operator for Metaheuristics. Soft Computing 14:10 (2010) 1117-1139. doi: 10.1007/s00500-009-0506-1
  
• [1290] D. Molina, M. Lozano, F. Herrera. MA-SW-Chains: Memetic Algorithm Based on Local Search Chains for Large Scale Continuous Global Optimization. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 3153-3160, 2010. COMPETITION WINNER.. doi: 10.1109%2FCEC.2010.5586034
  
• [1317] F. J. Rodriguez-Diaz, C. García-Martínez, M. Lozano. A GA-Based Multiple Simulated Annealing. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 195-201, 2010.
  
• [1318] F. J. Rodriguez-Diaz, C. García-Martínez, M. Lozano. Un Modelo de Enfriamiento Simulado Basado en Algoritmos Evolutivos Especializados. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2010, Valencia (Spain), 727-734, 7-10 September 2010.
  
• [1319] C. García-Martínez, M. Lozano, F. J. Rodriguez-Diaz. Evolución diferencial con distinción de roles: Optimización de problemas con alta dimensión. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2010, Valencia (Spain), 455-462, 7-10 September 2010.
  
• [1330] D. Molina, C. García-Martínez, M. Lozano, F. Herrera. web temática sobre algoritmos evolutivos y otras metaheurísticas. Proceeding del VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'2010, Valencia, Septiembre 2010, pp 311-317, 2010.
  

2009 (16)

• [0834] S. García, D. Molina, M. Lozano, F. Herrera. A Study on the Use of Non-Parametric Tests for Analyzing the Evolutionary Algorithms' Behaviour: A Case Study on the CEC'2005 Special Session on Real Parameter Optimization. Journal of Heuristics 15 (2009) 617-644. doi: 10.1007/s10732-008-9080-4
  COMPLEMENTARY MATERIAL to the paper: Software and tests description
  
  
• [0894] A.M. Sánchez, M. Lozano, P. Villar, F. Herrera. Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood-based Crossover Operators. International Journal of Intelligent Systems 24:5 (2009) 540-567. doi: 10.1002/int.20348
  
• [0900] I. Robles, J.M. Benítez, M. Lozano, F. Herrera. Implementación de un algoritmo genético distribuido para optimización de problemas reales. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), páginas 419-424.
  
• [0964] D. Molina, M. Lozano, F. Herrera. Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. Learning and Intelligent OptimizatioN Workshop (LION'3), pages 221-234.
  
• [1058] D. Molina, M. Lozano, F. Herrera. Memetic Algorithm with Local Search Chaining for Large Scale Continuous Optimization. Proceeding IEEE Congress on Evolutionary Computation (2009) 830-837.
  
• [1075] D. Molina, M. Lozano, F. Herrera. A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noiseless Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2255-2262.
  
• [1076] D. Molina, M. Lozano, F. Herrera. A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noisy Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2359-2366.
  
• [1084] C. García-Martínez, M. Lozano. Evaluación de Metaheurísticas Basadas en un Algoritmo Genético Local. In Proc. of the Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (2009) 215-222.
  
• [1085] C. García-Martínez, M. Lozano. Simulated Annealing Based on Local Genetic Search. In Proc. of the Congress on Evolutionary Computation (2009) 2569-2576.
  
• [1086] C. García-Martínez, M. Lozano. A Continuous Variable Neighbourhood Search Based on Specialised EAs: Application to the Noiseless BBO-benchmark 2009. In Proc. of the Genetic and Evolutionary Computation Conference (2009) 2287-2294.
  
• [1087] C. García-Martínez, M. Lozano. A Continuous Variable Neighbourhood Search Based on Specialised EAs: Application to the Noisy BBO-benchmark 2009 testbed. In Proc. of the Genetic and Evolutionary Computation Conference (2009) 2367-2374.
  
• [1098] D. Molina, M. Lozano, F. Herrera. Algoritmo Memético Basado en Encadenamiento de Búsquedas Locales para Problemas de Optimización Continua. Proceeding VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), (2009), 481-486.
  
• [1195] C. García-Martínez, M. Lozano. Continuous Variable Neighbourhood Search Algorithm Based on Evolutionary Metaheuristic Components: A Scalability Test. Proc. of the Ninth International Conference on Intelligent Systems Design and Applications (2009) 1074-1079.
  
• [1199] A.M. Sánchez, M. Lozano, F. Herrera. Algoritmos Genéticos para Codificación Real con Operador de Cruce Híbrido con Múltiples Descendientes: 2BLX0.5-2FR0.5-2PNX3-2SBX0.01. En Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09). pp 411-418. Málaga (Spain), 11-13 February 2009. .
  
• [1222] D. Molina, M. Lozano, F. Herrera. Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems. Proceeding of 9th International Conference on Intelligent System Design and Applications, 2009 (ISDA'2009), 1068-1073.
  
• [1770] F. Herrera, M. Lozano. Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems. In: C.L. Mumford, L.C. Jain (Eds.) Computational Intelligence: Collaboration, Fusion and Emergence, ISRL 1, Springer Berlin Heidelberg (2009), pp. 83-130, ISBN: 978-3-642-01798-8.
  

2008 (7)

• [0341] M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Sciences 178:23 (2008) 4421-4433. doi: 10.1016/j.ins.2008.07.031
  
• [0526] C. García-Martínez, M. Lozano, F. Herrera, D. Molina, A.M. Sánchez. Global and Local Real-Coded Genetic Algorithms Based on Parent-Centric Crossover Operators. European Journal of Operational Research 185 (2008) 1088-1113. doi: 10.1016/j.ejor.2006.06.043
  
• [0609] C. García-Martínez, M. Lozano. Local Search based on Genetic Algorithms. In: Siarry, P., Michalewicz, Z. (eds.): Advances in Metaheuristics for Hard Optimization. Springer's Natural Computing Series, Springer, (199-221).
  
• [0669] A.M. Sánchez, M. Lozano, C. García-Martínez, D. Molina, F. Herrera. Real-Parameter Crossover Operators with Multiple Descendents: An Experimental Study. International Journal of Intelligent Systems 23:2 (2008) 246-268. doi: 10.1002/int.20258
  
• [0721] J.R. Cano, F. Herrera, M. Lozano, S. García. Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection. Expert Systems with Applications 35 (2008) 1949-1965. doi: 10.1016/j.eswa.2007.08.083
  
• [0904] D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Intense Local Search Methods Using Local Search Chains . Proceedings of the International Workshop on Hybrid Metaheuristics (HM 2008), Málaga (Spain), 8-9 october 2008, LNCS 5296, pp. 58-71. doi: 10.1007/978-3-540-88439-2_5
  
• [0905] M. Lozano, C. García-Martínez. An Evolutionary ILS-Perturbation Technique . Proceedings of the International Workshop on Hybrid Metaheuristics (HM 2008), Málaga (Spain), 8-9 october 2008, LNCS 5296, pp. 1-15, 2008.
  

2007 (7)

• [0543] J.R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified Training Set Selection for Extracting Classification Rules with Trade-off Precision-Interpretability. Data and Knowledge Engineering 60 (2007) 90-108. doi: 10.1016/j.datak.2006.01.008
  
• [0630] S. García, D. Molina, M. Lozano, F. Herrera. Un estudio experimental sobre el uso de test no paramétricos para analizar el comportamiento de los algoritmos evolutivos en problemas de optimización. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 275-285, 14-16 February 2007.
  
• [0675] F. Herrera, M. Lozano, A.M. Sánchez. Algoritmos genéticos con codificación real:Operadores de cruce híbridos basados en entornos con múltiples descendientes. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 827-834, 14-16 February 2007.
  
• [0726] C. García-Martínez, M. Lozano. Algoritmos Genéticos Locales. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 245-252, 11-14 September 2007.
  
• [0718] D. Molina, F. Herrera, M. Lozano. Algoritmo Memético con Intensidad de Busqueda Local Adaptativa. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 195-202, 11-14 September 2007.
  
• [0719] S. García, D. Molina, F. Herrera, M. Lozano. Tests no paramétricos de comparaciones múltiples con algoritmo de control en el análisis de algoritmos evolutivos: Un caso de estudio con los resultados de la sesión especial en optimización continua. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 219-227, 11-14 September 2007.
  
• [0975] P.A. Gutiérrez, C. Hervás-Martínez, M. Lozano. aw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'07). Lecture Notes in Computer Science 4881, Springer Verlag 2007, Birmingham (UK, 2007) 1131-1140.
  

2006 (3)

• [0342] F. Herrera, M. Lozano, D. Molina. Continuous Scatter Search: An Analysis of the Integration of Some Combination Methods and Improvement Strategies. European Journal of Operational Research 169:2 (2006) 450-476. doi: 10.1016/j.ejor.2004.08.009
  
• [0434] J.R. Cano, F. Herrera, M. Lozano. On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing 6 (2006) 323-332. doi: 10.1016/j.asoc.2005.02.006
  
• [0610] C. García-Martínez, M. Lozano, D. Molina. A Local Genetic Algorithm for Binary-coded Problems. Proceedings of the 9th Internationational Conference on Parallel Problem Solving from Nature. Lecture Notes in Computer Science 4193, Springer-Verlag 2006, Reykjavik (Islandia) 192-201, September 2006.
  

2005 (14)

• [0125] J.R. Cano, F. Herrera, M. Lozano. Instance Selection Using Evolutionary Algorithms: An Experimental Study. In: N. Pal, H.N. Teodorescu, L.C. Jain (Eds.): Knowledge Discovery in Advanced Information Systems, Springer Verlag, 2005, 127-152.
  
• [0477] D. Molina, F. Herrera, M. Lozano, C. García-Martínez, A.M. Sánchez. Técnicas de Diversidad para Algoritmos Meméticos. Proceeding del Segundo Congreso Mexicano de Computación Evolutiva "COMCEV 2005", 2005, 29-34.
  
• [0335] F. Herrera, M. Lozano, A.M. Sánchez. Hybrid Crossover Operators for Real-Coded Genetic Algorithms: An Experimental Study. Soft Computing 9:4 (2005) 280-298. doi: 10.1007/s00500-004-0380-9
  
• [0401] J.R. Cano, F. Herrera, M. Lozano. Stratification for Scaling Up Evolutionary Prototype Selection. Pattern Recognition Letters, 26, (2005), 953-963. doi: 10.1016/j.patrec.2004.09.043
  
• [0476] J.R. Cano, F. Herrera, M. Lozano. Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining. Evolutionary Computation in Data Mining, A. Ghosh, L.C. Jain (Eds.), Springer-Verlag, 2005, 21-39.
  
• [0493] D. Molina, F. Herrera, M. Lozano. Adaptive Local Search Parameters for Real-Coded Memetic Algorithms. 2005 IEEE Congress on Evolutionary Computation, 2-5 September 2005, Edinburg (Scotland), 888-895.
  
• [0500] D. Molina, F. Herrera, M. Lozano. Técnicas de Diversidad para Algoritmos Meméticos: un estudio experimental. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 39-46, 2005.
  
• [0521] C. García-Martínez, M. Lozano. Diferenciación sexual de cromosomas para la aplicación de operadores de cruce con codificación real centrados en un padre.. En actas del IV Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05), Granada, España, Septiembre, 2005, 389 - 396..
  
• [0522] M. Lozano, F. Herrera, C. García-Martínez. Técnicas de diversificación para la mejora de los operadores de cruce centrados en un padre.. IV Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinsipirados (MAEB'05), Granada, España, Septiembre, 2005, 389 - 396.
  
• [0523] C. García-Martínez, M. Lozano. Hybrid Real-Coded Genetic Algorithms with Female and Male Differentiation.. In Proceedings of the IEEE Congress on Evolutionary Computation, Edinburgh, UK, September, 2005, 896 - 903..
  
• [0540] J.R. Cano, F. Herrera, M. Lozano. Extracción de Modelos Predictivos Interpretables en Conjuntos de Datos de Tamaño Grande mediante la Selección de Conjuntos de Entrenamiento. Actas del III Taller de Minería de Datos y Aprendizaje (TAMIDA'2005), 145-152, 2005.
  
• [0560] J.R. Cano, F. Herrera, M. Lozano. A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In: F. Hoffmann, M. Köppen, F. Klawonn, R. Roy, (Eds.): Soft Computing: Methodologies and Applications, Advances in Soft Computing Series, Springer-Verlag, (2005), 271-284.
  
• [0561] A.M. Sánchez, F. Herrera, M. Lozano, P. Villar. Estudio de operadores de cruce con múltiples descendientes para algoritmos genéticos con codificación real. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 31-38, 2005.
  
• [0583] M. Lozano, F. Herrera, J.R. Cano. Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms. F. Hoffmann, M. Köppen, F. Klawonn, R. Roy (eds.): Soft Computing: Methodologies and Applications. Advances in Soft Computing Series, Springer-Verlag (2005) 85-96.
  

2004 (6)

• [0387] F. Herrera, M. Lozano, A.M. Sánchez. Operadores de Cruce con Múltiples Descendientes para Algoritmos Genéticos con Codificación Real: Estudio Experimental. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 292-299, 2004.
  
• [0386] J.R. Cano, F. Herrera, M. Lozano. Estratificación y Selección Evolutiva de Prototipos Aplicadas a Bases de Datos de Gran Tamaño. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 211-220, 2004.
  
• [0372] M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Algoritmos Meméticos con Codificación Real con Técnicas de Ascensión de Colinas Basadas en el Cruce. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 254-261, 2004.
  
• [0337] M. Lozano, F. Herrera, N. Krasnogor, D. Molina. Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12:3 (2004) 273-302. doi: 10.1162/1063656041774983
  
• [0511] J.R. Cano, F. Herrera, M. Lozano. Selección Evolutiva Estratificada de Conjuntos de Entrenamiento para la Obtención de Bases de Reglas con un Alto Equilibrio entre Precisión e Interpretabilidad. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds): Tendencias de la Minería de Datos en España. (2004) 263 - 274. ISBN: 84-688-8442-1..
  
• [0520] J. R. Cano, F. Herrera, M. Lozano. Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. In Proceedings of the IEEE ICDM 2004 Workshop on Alternative Techniques for Data Mining and Knwoledge Discovery, November 2004.
  

2003 (7)

• [0515] M. Lozano, F. Herrera, J. R. Cano.. Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms.. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, 2003.
  
• [0010] F. Herrera, M. Lozano. Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy and Future Directions. Soft Computing 7:8 (2003) 545-562. doi: 10.1007/s00500-002-0238-y
  
• [0298] F. Herrera, M. Lozano, A.M. Sánchez. A Taxonomy for the Crossover Operator for Real-Coded Genetic Algorithms: An Experimental Study. International Journal of Intelligent Systems 18 (2003) 309-338. doi: 10.1002/int.10091
  
• [0314] M. Lozano, F. Herrera. Estrategias de Reemplazo Para Fomentar Diversidad Útil en los Algoritmos Genéticos Estacionarios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 200-208, February 2003.
  
• [0315] F. Herrera, M. Lozano, A.M. Sánchez. Una Propuesta de Hibridación de Operadores de Cruce para Algoritmos Genéticos con Codificación Real. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 237-248, February 2003.
  
• [0514] J. R. Cano, F. Herrera, M. Lozano. A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September 2003..
  
• [0361] J.R. Cano, F. Herrera, M. Lozano. Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: An Experimental Study. IEEE Trans. on Evolutionary Computation 7:6 (2003) 561-575. doi: 10.1109/TEVC.2003.819265
  

2002 (3)

• [0403] J.R. Cano, F. Herrera, M. Lozano. Selección Evolutiva de Instancias en Minería de Datos: Un Estudio Experimental. F. Herrera, J.C. Riquelme, J. Aguilar (Eds.). Actas del Workshop de Minería de Datos y Aprendizaje, Sevilla (Spain), 137-152, November 2002.
  
• [0407] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez, P. Villar. Múltiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with BLX-α Crossover Operator for Real-Coded Genetic Algorithms. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 392-401, November 2002.
  
• [0414] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez. Una Propuesta de Generación de Múltiples Descendientes y de Selección de los 2 Mejores para Algoritmos Genéticos con Codificación Real con el Operador de Cruce BLX-α. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 15-22, 2002.
  

2001 (1)

• [0033] F. Herrera, M. Lozano. Adaptative Genetic Operators Based on Coevolution with Fuzzy Behaviors. IEEE Transactions on Evolutionary Computation 5:2 (2001) 149-165.
  

2000 (4)

• [0048] F. Herrera, M. Lozano. Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Applied Intelligence 13:3 (2000) 187-204.
  
• [0051] F. Herrera, M. Lozano. Gradual Distributed Real-Coded Genetic Algorithms. IEEE Transactions on Evolutionary Computation 4:1 (2000) 43-63.
  
• [0141] F. Herrera, M. Lozano. Adaptative Control of the Mutation Probability by Fuzzy logic Controllers. Parallel Problem Solving from Nature, LNCS 1917, 2000, 335-344.
  
• [0221] F. Herrera, M. Lozano. Adaptive Control of the Mutation Probability by Fuzzy Logic Controllers. Proc. 6th International Conference on Parallel Problem Solving from Nature - PPSN VI, Paris (France). M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, H-P. Schwefel (Eds.), Lecure Notes in Computer Science 1917, 335-344, September 2000.
  

1999 (2)

• [0058] F. Herrera, M. Lozano, C. Moraga. Hierarchical Distributed Genetic Algorithms. International Journal of Intelligent Systems 14:11 (1999) 1099-1121.
  
• [0059] O. Cordón, M. J. del Jesus, F. Herrera, M. Lozano. MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. International Journal of Intelligent Systems Vol. 14:11 (1999) 1123-1153.
  

1998 (4)

• [0065] F. Herrera, M. Lozano, J.L. Verdegay. A Learning Process for Fuzzy Control Rules using Genetic Algorithms. Fuzzy Sets and Systems 100 (1998) 143-158.
  
• [0067] F. Herrera, M. Lozano, J.L. Verdegay. Tackling Real-Coded Genetic Algorithms: Operators and tools for the Behaviour Analysis. Artificial Intelligence Review 12 (1998) 265-319.
  
• [0069] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano. Modelado Cualitativo Utilizando una Metodología Evolutiva de Aprendizaje Iterativo de Bases de Reglas Difusas. Revista Iberoamericana de la Asociación Española para la Inteligencia Artificial. Num. 5 (1998), 56-61.
  
• [0247] F. Herrera, M. Lozano, C. Moraga. Hybrid Distributed-Real Coded Genetic Algorithms. 5th Int. Conf. Parallel Problem SOlving from Nature - PPSN V, Amsterdam (The Netherlands). A.E. Eiben, T. Back, M. Schoenauer, H-P. Schwefel (Eds.), LNCS 1498, Springer-Verlag, 603-612, September 1998.
  

1997 (5)

• [0075] F. Herrera, M. Lozano, J.L. Verdegay. Fuzzy Connectives Based Crossover Operators to Model Genetic Algorithms Population Diversity. Fuzzy Sets and Systems. Vol. 92-1 (1997) 21-30.
  
• [0151] O. Cordón, F. Herrera, M. Lozano. A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995. Genetic Algorithms and Fuzzy Logic Systems. Soft Computing Perspectives, E. Sanchez, T. Shibata, L. A. Zadeh (Eds.), World Scientific, 1997, 209-240.
  
• [0153] O. Cordón, F. Herrera, M. Lozano. On the Combination of Fuzzy Logic and Evolutionary Computation: A Short Review and Bibliography. Fuzzy Evolutionary Computation, W. Pedrycz (Ed.), Kluwer Academic, 1997, 57-77.
  
• [0256] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano. An Evolutionary Paradigm for Designing Fuzzy Rule-Based Systems from Examples. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 139-144, 1997.
  
• [0257] F. Herrera, M. Lozano. Heterogeneous Distributed Genetic Algorithms Based on the Crossover Operator. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 203-208, 1997.
  

1996 (7)

• [0080] F. Herrera, M. Lozano, J.L. Verdegay. Dynamic and Heuristic Fuzzy Connectives-Based Crossover Operators for Controlling the Diversity and Convengence of Real Coded Genetic Algorithms. Int. Journal of Intelligent Systems Vol. 11 (1996) 1013-1041.
  
• [0082] O. Cordón, F. Herrera, E. Herrera-Viedma, M. Lozano. Genetic Algorithms and Fuzzy Logic in Control Processes. Archives of Control Sciences. Vol. 5 (1996) 135-168.
  
• [0156] F. Herrera, M. Lozano. Adaptation of Genetic Algorithm Parameters based on Fuzzy Logic Controllers. Genetic Algorithms and Soft Computing, F. Herrera, J. L. Verdegay (Eds.), Physica-Verlag, 1996, 95-125.
  
• [0259] O. Cordón, F. Herrera, M. Lozano. On the Bidirectional Integration of Fuzzy Logic and Genetic Algorithms. 2nd Online Workshop on Evolutionary Computation (WEC2). Nagoya (Japan), 13-17, 1996.
  
• [0262] F. Herrera, M. Lozano. Adaptive Genetic Algorithms Based on Fuzzy Techniques. Information Processing and Management of Uncertainly in Knowledge-Based Systems (IPMU), 775-780, 1996.
  
• [0264] O. Cordón, F. Herrera, M. Lozano. A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 720-729, 1996.
  
• [0265] F. Herrera, M. Lozano. Heuristic Crossover for Real-Coded Genetic ALgorithms Based on Fuzzy Connectives. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 336-345, 1996.
  

1995 (8)

• [0088] F. Herrera, M. Lozano, J.L. Verdegay. The Use of Fuzzy Connectives to Design real-Coded Genetic Algorithms. Mathware and Soft Computing. Vo. 1:3 (1995) 239-251.
  
• [0092] F. Herrera, M. Lozano, J.L. Verdegay. Tuning Fuzzy Logic Controllers by Genetic Algorithms. International Journal of Approximate Reasoning 12 (1995) 299-315. doi: 10.1016/0888-613X(94)00033-Y
  
• [0093] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos: Fundamentos, Extensiones y Aplicaciones. ARBOR CLII 597 (1995) 9-40.
  
• [0094] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos Geneticos con Parametros Reales. NOVATICA, May/jun 115 (1995) 36-41.
  
• [0159] F. Herrera, M. Lozano, J.L. Verdegay. Generating Rules from Examples using Genetic Algorithms. Fuzzy Logic and Soft Computing, B. Bouchon, R. Yager, L. Zadeh (Eds.), Word Scientific, 1995, 11-20.
  
• [0161] F. Herrera, M. Lozano, J.L. Verdegay. Tackling Fuzzy Genetic Algorithms. Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan, P. Cuesta (Eds.), John Wiley and Sons, 1995, 167-189.
  
• [0272] F. Herrera, M. Lozano, J.L. Verdegay. Design of a Control Rules Base based on Genetic Algorithms. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. I., 265-268, 1995.
  
• [0276] F. Herrera, M. Lozano. Algoritmos Genéticos Heuristicos con Codificacion Real. VI Conferencia de la Asociación Española para la Inteligencia Artificial. Alicante (Spain), 11-20, 1995.
  

1994 (4)

• [0096] F. Herrera, M. Lozano, J.L. Verdegay. Applying Genetic Algorithms in Fuzzy Optimization Problems. Fuzzy Systems and A.I.-Reports and Letters 3 (1994) 39-52.
  
• [0279] F. Herrera, M. Lozano, J.L. Verdegay. Generating fuzzy rules from examples using genetic algorithms. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'94. París (France), 675-680, 1994.
  
• [0280] F. Herrera, E. Herrera-Viedma, M. Lozano, J.L. Verdegay. Fuzzy tools to improve genetic algorithms. Second European Congress on Fuzzy and Intelligent Technologies. EUFIT'94. Aachen (Germany), Vol. III 1532-1539, 1994.
  
• [0281] F. Herrera, M. Lozano, J.L. Verdegay. El uso de conectivos difusos en el diseño de algoritmos genéticos. IV Congreso Español sobre Tecnologías y Lógica Fuzzy. Blanes, 37-42, 1994.
  

1993 (3)

• [0285] F. Herrera, M. Lozano, J.L. Verdegay. Genetic Algorithms Applications to Fuzzy Logic Based Systems. 9th Polish-Italian and 5th Polish-Finnish Symposium on Systems Analysis. Warsaw (Poland), R. Kulilowski, K. Szkatula, J. Kacprzyk (Eds.), Omnitech Press, 125-134, 1993.
  
• [0287] F. Herrera, M. Lozano, J.L. Verdegay. Un algoritmo genético para el ajuste de controladores difusos. III Congreso Español sobre Tecnologías y Lógica Fuzzy. Santiago de Compostela (Spain), 251-258, 1993.
  
• [0288] F. Herrera, M. Lozano, J.L. Verdegay. Algoritmos geneticos con para metros reales. V Conferencia de la Asociación Española para la Inteligencia Artificial. Madrid (Spain), 41-50, 1993.