Papers published in Journals (M. Lozano)

Number of Results: 56

Jump to Year: 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994

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2017 (3)

• [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
  
• [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 (3)

• [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
  

2012 (5)

• [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
  

2011 (4)

• [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
  
• [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 (3)

• [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
  

2009 (2)

• [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
  

2008 (4)

• [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
  
• [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
  

2007 (1)

• [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
  

2006 (2)

• [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
  

2005 (2)

• [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
  

2004 (1)

• [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
  

2003 (3)

• [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
  
• [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
  

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 (2)

• [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.
  

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 (3)

• [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.
  

1997 (1)

• [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.
  

1996 (2)

• [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.
  

1995 (4)

• [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.
  

1994 (1)

• [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.