Manuel Lozano Márquez
Contacto
lozano@decsaizMGKPlXAZ7Sg.ugr.es
Organismo
UGRHighly Cited Researcher en el año 2022
| Total | Desde 2019: | |
|---|---|---|
| Citas | Total: 10368 | Desde 2019: 2704 |
| Índice H | Total: 36 | Desde 2019: 24 |
| Índice i10 | Total: 50 | Desde 2019: 41 |
Publicaciones (53)
| Título | Autores | Año |
|---|---|---|
| Optimizing Node Infiltrations in Complex Networks by a Local Search Based Heuristic | M Lozano, HM Trujillo. | 2019 |
| Artificial Bee Colony for optimization of cloud-ready and survivable elastic optical networks | R Goścień, M Lozano. | 2018 |
| Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness | C García-Martínez, PD Gutiérrez, D Molina, M Lozano, F Herrera. | 2017 |
| Optimizing network attacks by artificial bee colony | M Lozano, C García-Martínez, FJ Rodríguez, HM Trujillo. | 2017 |
| GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem | FJ Rodriguez, F Glover, C García-Martínez, R Martí, M Lozano. | 2017 |
| An alternative artificial bee colony algorithm with destructive–constructive neighbourhood operator for the problem of composing medical crews | JA Delgado-Osuna, M Lozano, C García-Martínez. | 2016 |
| A genetic algorithm for the minimum generating set problem | M Lozano, M Laguna, R Martí, FJ Rodríguez, C García-Martínez. | 2016 |
| Randomized greedy multi-start algorithm for the minimum common integer partition problem | M Lozano, FJ Rodriguez, D Peralta, C García-Martínez. | 2016 |
| The firefighter problem: Empirical results on random graphs | C García-Martínez, C Blum, FJ Rodriguez, M Lozano. | 2015 |
| A two-stage constructive method for the unweighted minimum string cover problem | M Lozano, FJ Rodriguez, C García-Martínez. | 2015 |
| Tabu-enhanced iterated greedy algorithm: a case study in the quadratic multiple knapsack problem | C García-Martínez, FJ Rodriguez, M Lozano. | 2014 |
| Tabu search with strategic oscillation for the quadratic minimum spanning tree | M Lozano, F Glover, C García-Martínez, FJ Rodríguez, R Martí. | 2014 |
| Strategic oscillation for the quadratic multiple knapsack problem | C García-Martínez, F Glover, FJ Rodriguez, M Lozano, R Martí. | 2014 |
| An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem | FJ Rodriguez, M Lozano, C Blum, C GarcíA-MartíNez. | 2013 |
| An artificial bee colony algorithm for the maximally diverse grouping problem | FJ Rodriguez, M Lozano, C García-Martínez, JD GonzáLez-Barrera. | 2013 |
| A Hybrid Metaheuristic for the Cyclic Antibandwidth Problem | M Lozano, A Duarte, F Gortázar, R Martı. | 2013 |
| Hybrid metaheuristics based on evolutionary algorithms and simulated annealing: taxonomy, comparison, and synergy test | F Rodriguez, C Garcia-Martinez, M Lozano. | 2012 |
| Arbitrary function optimisation with metaheuristics | C Garcia-Martinez, FJ Rodriguez, M Lozano. | 2012 |
| A simulated annealing method based on a specialised evolutionary algorithm | C García-Martínez, M Lozano, FJ Rodríguez-Díaz. | 2012 |
| Variable neighborhood search with ejection chains for the antibandwidth problem | M Lozano, A Duarte, F Gortázar, R Martí. | 2012 |
| GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times | FJ Rodriguez, C Blum, C García-Martínez, M Lozano. | 2012 |
| Arbitrary function optimisation with metaheuristics: No free lunch and real-world problems | C Garcia-Martinez, FJ Rodriguez, M Lozano. | 2012 |
| Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains | D Molina, M Lozano, AM Sánchez, F Herrera. | 2011 |
| Iterated greedy for the maximum diversity problem | M Lozano, D Molina, C Garcia-Martinez. | 2011 |
| Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation | C García-Martínez, FJ Rodríguez, M Lozano. | 2011 |
| Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report | M Lozano, C García-Martínez. | 2010 |
| Memetic algorithms for continuous optimisation based on local search chains | D Molina, M Lozano, C García-Martínez, F Herrera. | 2010 |
| Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics | C García-Martínez, M Lozano. | 2010 |
| Designing multilayer perceptrons using a guided saw-tooth evolutionary programming algorithm | PA Gutiérrez, C Hervás, M Lozano. | 2010 |
| 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 | S García, D Molina, M Lozano, F Herrera. | 2009 |
| Hybrid crossover operators with multiple descendents for real‐coded genetic algorithms: Combining neighborhood‐based crossover operators | AM Sánchez, M Lozano, P Villar, F Herrera. | 2009 |
| Replacement strategies to preserve useful diversity in steady-state genetic algorithms | M Lozano, F Herrera, JR Cano. | 2008 |
| Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection | JR Cano, F Herrera, M Lozano, S García. | 2008 |
| Global and local real-coded genetic algorithms based on parent-centric crossover operators | C García-Martínez, M Lozano, F Herrera, D Molina, AM Sánchez. | 2008 |
| Real‐parameter crossover operators with multiple descendents: An experimental study | AM Sánchez, M Lozano, C García‐Martínez, D Molina, F Herrera. | 2008 |
| Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability | JR Cano, F Herrera, M Lozano. | 2007 |
| On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining | JR Cano, F Herrera, M Lozano. | 2006 |
| Continuous scatter search: an analysis of the integration of some combination methods and improvement strategies | F Herrera, M Lozano, D Molina. | 2006 |
| Stratification for scaling up evolutionary prototype selection | JR Cano, F Herrera, M Lozano. | 2005 |
| Hybrid crossover operators for real-coded genetic algorithms: an experimental study | F Herrera, M Lozano, AM Sánchez. | 2005 |
| Real-coded memetic algorithms with crossover hill-climbing | M Lozano, F Herrera, N Krasnogor, D Molina. | 2004 |
| Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study | JR Cano, F Herrera, M Lozano. | 2003 |
| A taxonomy for the crossover operator for real‐coded genetic algorithms: An experimental study | F Herrera, M Lozano, AM Sánchez. | 2003 |
| Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions | F Herrera, M Lozano. | 2003 |
| Adaptive genetic operators based on coevolution with fuzzy behaviors | F Herrera, M Lozano. | 2001 |
| Gradual distributed real-coded genetic algorithms | F Herrera, M Lozano. | 2000 |
| Two-loop real-coded genetic algorithms with adaptive control of mutation step sizes | F Herrera, M Lozano. | 2000 |
| MOGUL: A methodology to obtain genetic fuzzy rule‐based systems under the iterative rule learning approach | O Cordón, MJ del Jesús, F Herrera, M Lozano. | 1999 |
| Hierarchical distributed genetic algorithms | F Herrera, M Lozano, C Moraga. | 1999 |
| Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis | F Herrera, M Lozano, JL Verdegay. | 1998 |
| A learning process for fuzzy control rules using genetic algorithms | F Herrera, M Lozano, JL Verdegay. | 1998 |
| Fuzzy connectives based crossover operators to model genetic algorithms population diversity | F Herrera, M Lozano, JL Verdegay. | 1997 |
| Dynamic and heuristic fuzzy connectives‐based crossover operators for controlling the diversity and convergence of real‐coded genetic algorithms | F Herrera, M Lozano, JL Verdegay. | 1996 |
| Tuning fuzzy logic controllers by genetic algorithms | F Herrera, M Lozano, JL Verdegay. | 1995 |
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