Manuel Lozano

	2012
55		Francisco J. Rodríguez, Christian Blum, Manuel Lozano, Carlos García-Martínez: Iterated Greedy Algorithms for the Maximal Covering Location Problem. EvoCOP 2012: 172-181
	2011
54		Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano: Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation. Soft Comput. 15(11): 2109-2126 (2011)
53		Daniel Molina, Manuel Lozano, Ana M. Sánchez, Francisco Herrera: Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains. Soft Comput. 15(11): 2201-2220 (2011)
	2010
52		Carlos García-Martínez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, Manuel Lozano: P system model optimisation by means of evolutionary based search algorithms. GECCO 2010: 187-194
51		Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos García-Martínez, Manuel Lozano: Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology. GECCO (Companion) 2010: 1991-1998
50		Manuel Lozano, Christian Blum: A Hybrid Metaheuristic for the Longest Common Subsequence Problem. Hybrid Metaheuristics 2010: 1-15
49		Francisco Javier Rodriguez-Diaz, Carlos García-Martínez, Manuel Lozano: A GA-based multiple simulated annealing. IEEE Congress on Evolutionary Computation 2010: 1-7
48		Daniel Molina, Manuel Lozano, Francisco Herrera: MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8
47		Manuel Lozano, Carlos García-Martínez: Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report. Computers & OR 37(3): 481-497 (2010)
46		Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera: Memetic Algorithms for Continuous Optimisation Based on Local Search Chains. Evolutionary Computation 18(1): 27-63 (2010)
45		Carlos García-Martínez, Manuel Lozano: Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics. Soft Comput. 14(10): 1117-1139 (2010)
44		Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano: Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. Soft Comput. 14(6): 599-613 (2010)
	2009
43		Daniel Molina, Manuel Lozano, Francisco Herrera: A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. GECCO (Companion) 2009: 2255-2262
42		Carlos García-Martínez, Manuel Lozano: A continuous variable neighbourhood search based on specialised EAs: application to the noiseless BBO-benchmark 2009. GECCO (Companion) 2009: 2287-2294
41		Daniel Molina, Manuel Lozano, Francisco Herrera: A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions. GECCO (Companion) 2009: 2359-2366
40		Carlos García-Martínez, Manuel Lozano: A continuous variable neighbourhood search based on specialised eas: application to the noisy BBO-benchmark 2009 testbed. GECCO (Companion) 2009: 2367-2374
39		Carlos García-Martínez, Manuel Lozano: Simulated annealing based on local genetic search. IEEE Congress on Evolutionary Computation 2009: 2569-2576
38		Daniel Molina, Manuel Lozano, Francisco Herrera: Memetic algorithm with Local search chaining for large scale continuous optimization problems. IEEE Congress on Evolutionary Computation 2009: 830-837
37		Daniel Molina, Manuel Lozano, Francisco Herrera: Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. ISDA 2009: 1068-1073
36		Carlos García-Martínez, Manuel Lozano: Continuous Variable Neighbourhood Search Algorithm Based on Evolutionary Metaheuristic Components: A Scalability Test. ISDA 2009: 1074-1079
35		Daniel Molina, Manuel Lozano, Francisco Herrera: Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. LION 2009: 221-234
34		Ana M. Sánchez, Manuel Lozano, Pedro Villar, Francisco Herrera: Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators. Int. J. Intell. Syst. 24(5): 540-567 (2009)
33		Salvador García, Daniel Molina, Manuel Lozano, Francisco 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. J. Heuristics 15(6): 617-644 (2009)
	2008
32		Manuel Lozano, Carlos García-Martínez: An Evolutionary ILS-Perturbation Technique. Hybrid Metaheuristics 2008: 1-15
31		Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera: Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. Hybrid Metaheuristics 2008: 58-71
30		Carlos García-Martínez, Manuel Lozano: Local Search Based on Genetic Algorithms. Advances in Metaheuristics for Hard Optimization 2008: 199-221
29		Carlos García-Martínez, Manuel Lozano, Francisco Herrera, Daniel Molina, Ana M. Sánchez: Global and local real-coded genetic algorithms based on parent-centric crossover operators. European Journal of Operational Research 185(3): 1088-1113 (2008)
28		José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García: Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection. Expert Syst. Appl. 35(4): 1949-1965 (2008)
27		Manuel Lozano, Francisco Herrera, José Ramón Cano: Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Inf. Sci. 178(23): 4421-4433 (2008)
26		Ana M. Sánchez, Manuel Lozano, Carlos García-Martínez, Daniel Molina, Francisco Herrera: Real-parameter crossover operators with multiple descendents: An experimental study. Int. J. Intell. Syst. 23(2): 246-268 (2008)
	2007
25		Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano: Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. IDEAL 2007: 1131-1140
24		José Ramón Cano, Francisco Herrera, Manuel Lozano: Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability. Data Knowl. Eng. 60(1): 90-108 (2007)
	2006
23		Carlos García-Martínez, Manuel Lozano, Daniel Molina: A Local Genetic Algorithm for Binary-Coded Problems. PPSN 2006: 192-201
22		José Ramón Cano, Francisco Herrera, Manuel Lozano: On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining. Appl. Soft Comput. 6(3): 323-332 (2006)
21		Francisco Herrera, Manuel Lozano, Daniel Molina: Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies. European Journal of Operational Research 169(2): 450-476 (2006)
	2005
20		Daniel Molina, Francisco Herrera, Manuel Lozano: Adaptive local search parameters for real-coded memetic algorithms. Congress on Evolutionary Computation 2005: 888-895
19		Carlos García-Martínez, Manuel Lozano: Hybrid real-coded genetic algorithms with female and male differentiation. Congress on Evolutionary Computation 2005: 896-903
18		José Ramón Cano, Francisco Herrera, Manuel Lozano: Stratification for scaling up evolutionary prototype selection. Pattern Recognition Letters 26(7): 953-963 (2005)
17		Francisco Herrera, Manuel Lozano: Editorial Real coded genetic algorithms. Soft Comput. 9(4): 223-224 (2005)
16		Francisco Herrera, Manuel Lozano, Ana M. Sánchez: Hybrid crossover operators for real-coded genetic algorithms: an experimental study. Soft Comput. 9(4): 280-298 (2005)
	2004
15		Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina: Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12(3): 273-302 (2004)
	2003
14		José Ramón Cano, Francisco Herrera, Manuel Lozano: Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study. IEEE Trans. Evolutionary Computation 7(6): 561-575 (2003)
13		Francisco Herrera, Manuel Lozano, Ana M. Sánchez: A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study. Int. J. Intell. Syst. 18(3): 309-338 (2003)
12		Francisco Herrera, Manuel Lozano: Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions. Soft Comput. 7(8): 545-562 (2003)
	2002
11		Francisco Herrera, Manuel Lozano, E. Pérez, Ana M. Sánchez, Pedro Villar: Multiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with the BLX-alpha Crossover Operator for Real-Coded Genetic Algorithms. IBERAMIA 2002: 392-401
	2001
10		Francisco Herrera, Manuel Lozano: Adaptive genetic operators based on coevolution with fuzzy behaviors. IEEE Trans. Evolutionary Computation 5(2): 149-165 (2001)
	2000
9		Francisco Herrera, Manuel Lozano: Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers. PPSN 2000: 335-344
8		Francisco Herrera, Manuel Lozano: Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Appl. Intell. 13(3): 187-204 (2000)
7		Francisco Herrera, Manuel Lozano: Gradual distributed real-coded genetic algorithms. IEEE Trans. Evolutionary Computation 4(1): 43-63 (2000)
	1998
6		Francisco Herrera, Manuel Lozano, Claudio Moraga: Hybrid Distributed Real-Coded Genetic Algorithms. PPSN 1998: 603-612
5		Francisco Herrera, Manuel Lozano, José L. Verdegay: Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis. Artif. Intell. Rev. 12(4): 265-319 (1998)
4		Oscar Cordón, María José del Jesús, Francisco Herrera, Manuel Lozano: Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 2(5): 56-61 (1998)
	1996
3		Francisco Herrera, Manuel Lozano: Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives. PPSN 1996: 336-345
2		Oscar Cordón, Francisco Herrera, Manuel Lozano: A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. PPSN 1996: 720-729
	1995
1		Francisco Herrera, Manuel Lozano, José L. Verdegay: Tuning fuzzy logic controllers by genetic algorithms. Int. J. Approx. Reasoning 12(3-4): 299-315 (1995)

Coauthor Index

1	Jaume Bacardit	[51]
2	Christian Blum	[50] [55]
3	José Ramón Cano	[14] [18] [22] [24] [27] [28]
4	Oscar Cordón	[2] [4]
5	Salvador García	[28] [33]
6	Carlos García-Martínez	[19] [23] [26] [29] [30] [31] [32] [36] [39] [40] [42] [45] [46] [47] [49] [51] [52] [54] [55]
7	Pedro Antonio Gutiérrez (Pedro Antonio Gutiérrez Peña)	[25] [44]
8	Francisco Herrera	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [20] [21] [22] [24] [26] [27] [28] [29] [31] [33] [34] [35] [37] [38] [41] [43] [46] [48] [53]
9	César Hervás-Martínez (César Hervás)	[25] [44]
10	María José del Jesús	[4]
11	Natalio Krasnogor	[15] [51] [52]
12	Claudio Lima	[52]
13	Daniel Molina	[15] [20] [21] [23] [26] [29] [31] [33] [35] [37] [38] [41] [43] [46] [48] [53]
14	Claudio Moraga	[6]
15	E. Pérez	[11]
16	Francisco J. Rodríguez	[54] [55]
17	Francisco Javier Rodriguez-Diaz	[49]
18	Ana M. Sánchez	[11] [13] [16] [26] [29] [34] [53]
19	Jamie Twycross	[52]
20	José L. Verdegay	[1] [5]
21	Pedro Villar	[11] [34]
22	Pawel Widera	[51]

Colors in the list of coauthors

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