Manuel Lozano

Publication Activity (10 Years)

Years Active: 1995-2021
Publications (10 Years): 11

Top Topics

Greedy Algorithm

Artificial Bee Colony

Parallel Machines

Simulated Annealing

Top Venues

Comput. Oper. Res.

Knowl. Based Syst.

Publications

Manuel Lozano, Francisco J. Rodriguez
Network reconstruction from betweenness centrality by artificial bee colony. Swarm Evol. Comput. 62 (2021)
Manuel Lozano, Humberto M. Trujillo
Optimizing node infiltrations in complex networks by a local search based heuristic. Comput. Oper. Res. 111 (2019)
Róza Goscien, Manuel Lozano
Artificial Bee Colony for optimization of cloud-ready and survivable elastic optical networks. Comput. Commun. 128 (2018)
Francisco J. Rodríguez, Fred W. Glover, Carlos García-Martínez, Rafael Martí, Manuel Lozano
GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem. Comput. Oper. Res. 78 (2017)
Manuel Lozano, Carlos García-Martínez, Francisco J. Rodríguez, Humberto M. Trujillo
Optimizing network attacks by artificial bee colony. Inf. Sci. 377 (2017)
Carlos García-Martínez, Pablo David Gutiérrez, Daniel Molina, Manuel Lozano, Francisco Herrera
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness. Soft Comput. 21 (19) (2017)
Manuel Lozano, Manuel Laguna, Rafael Martí, Francisco J. Rodríguez, Carlos García-Martínez
A genetic algorithm for the minimum generating set problem. Appl. Soft Comput. 48 (2016)
José A. Delgado-Osuna, Manuel Lozano, Carlos García-Martínez
An alternative artificial bee colony algorithm with destructive-constructive neighbourhood operator for the problem of composing medical crews. Inf. Sci. 326 (2016)
Manuel Lozano, Francisco J. Rodríguez, Daniel Peralta, Carlos García-Martínez
Randomized greedy multi-start algorithm for the minimum common integer partition problem. Eng. Appl. Artif. Intell. 50 (2016)
Carlos García-Martínez, Christian Blum, Francisco J. Rodríguez, Manuel Lozano
The firefighter problem: Empirical results on random graphs. Comput. Oper. Res. 60 (2015)
Manuel Lozano, Francisco J. Rodríguez, Carlos García-Martínez
A two-stage constructive method for the unweighted minimum string cover problem. Knowl. Based Syst. 77 (2015)
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem. Eur. J. Oper. Res. 232 (3) (2014)
Martha Mendoza, Carlos Alberto Cobos Lozada, Elizabeth León-Guzmán, Manuel Lozano, Francisco J. Rodríguez, Enrique Herrera-Viedma
A New Memetic Algorithm for Multi-document Summarization Based on CHC Algorithm and Greedy Search. MICAI (1) (2014)
Christian Blum, Maria J. Blesa, Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms. EvoCOP (2014)
Carlos García-Martínez, Fred W. Glover, Francisco J. Rodríguez, Manuel Lozano, Rafael Martí
Strategic oscillation for the quadratic multiple knapsack problem. Comput. Optim. Appl. 58 (1) (2014)
Manuel Lozano, Abraham Duarte, Francisco Gortázar, Rafael Martí
A hybrid metaheuristic for the cyclic antibandwidth problem. Knowl. Based Syst. 54 (2013)
Francisco J. Rodríguez, Manuel Lozano, Carlos García-Martínez, Jonathan D. González-Barrera
An artificial bee colony algorithm for the maximally diverse grouping problem. Inf. Sci. 230 (2013)
Francisco J. Rodríguez, Manuel Lozano, Christian Blum, Carlos García-Martínez
An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem. Comput. Oper. Res. 40 (7) (2013)
Francisco J. Rodríguez, Christian Blum, Carlos García-Martínez, Manuel Lozano
GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times. Ann. Oper. Res. 201 (1) (2012)
Francisco J. Rodríguez, Carlos García-Martínez, Manuel Lozano
Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test. IEEE Trans. Evol. Comput. 16 (6) (2012)
Carlos García-Martínez, Manuel Lozano, Francisco Javier Rodriguez-Diaz
A simulated annealing method based on a specialised evolutionary algorithm. Appl. Soft Comput. 12 (2) (2012)
Manuel Lozano, Abraham Duarte, Francisco Gortázar, Rafael Martí
Variable neighborhood search with ejection chains for the antibandwidth problem. J. Heuristics 18 (6) (2012)
Francisco J. Rodríguez, Christian Blum, Manuel Lozano, Carlos García-Martínez
Iterated Greedy Algorithms for the Maximal Covering Location Problem. EvoCOP (2012)
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
Arbitrary function optimisation with metaheuristics - No free lunch and real-world problems. Soft Comput. 16 (12) (2012)
Francisco J. Rodríguez, Carlos García-Martínez, Christian Blum, Manuel Lozano
An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem. PPSN (2) (2012)
Manuel Lozano, Daniel Molina, Carlos García-Martínez
Iterated greedy for the maximum diversity problem. Eur. J. Oper. Res. 214 (1) (2011)
Manuel Lozano, Daniel Molina, Francisco Herrera
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Comput. 15 (11) (2011)
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) (2011)
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
Analysing the significance of no free lunch theorems on the set of real-world binary problems. ISDA (2011)
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) (2011)
Manuel Lozano, Christian Blum
A Hybrid Metaheuristic for the Longest Common Subsequence Problem. Hybrid Metaheuristics (2010)
Manuel Lozano, Carlos García-Martínez
Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report. Comput. Oper. Res. 37 (3) (2010)
Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. Soft Comput. 14 (6) (2010)
Carlos García-Martínez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, Manuel Lozano
P system model optimisation by means of evolutionary based search algorithms. GECCO (2010)
Carlos García-Martínez, Manuel Lozano
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics. Soft Comput. 14 (10) (2010)
Francisco Javier Rodriguez-Diaz, Carlos García-Martínez, Manuel Lozano
A GA-based multiple simulated annealing. IEEE Congress on Evolutionary Computation (2010)
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains. Evol. Comput. 18 (1) (2010)
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)
Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos García-Martínez, Manuel Lozano
Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology. GECCO (Companion) (2010)
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) (2009)
Daniel Molina, Manuel Lozano, Francisco Herrera
Memetic algorithm with Local search chaining for large scale continuous optimization problems. IEEE Congress on Evolutionary Computation (2009)
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)
Carlos García-Martínez, Manuel Lozano
Continuous Variable Neighbourhood Search Algorithm Based on Evolutionary Metaheuristic Components: A Scalability Test. ISDA (2009)
Daniel Molina, Manuel Lozano, Francisco Herrera
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. ISDA (2009)
Carlos García-Martínez, Manuel Lozano
A continuous variable neighbourhood search based on specialised EAs: application to the noiseless BBO-benchmark 2009. GECCO (Companion) (2009)
Carlos García-Martínez, Manuel Lozano
Simulated annealing based on local genetic search. IEEE Congress on Evolutionary Computation (2009)
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)
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)
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)
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) (2009)
Manuel Lozano, Francisco Herrera, José Ramón Cano
Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Inf. Sci. 178 (23) (2008)
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. Eur. J. Oper. Res. 185 (3) (2008)
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) (2008)
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. Hybrid Metaheuristics (2008)
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) (2008)
Manuel Lozano, Carlos García-Martínez
An Evolutionary ILS-Perturbation Technique. Hybrid Metaheuristics (2008)
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)
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) (2007)
Carlos García-Martínez, Manuel Lozano, Daniel Molina
A Local Genetic Algorithm for Binary-Coded Problems. PPSN (2006)
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) (2006)
Francisco Herrera, Manuel Lozano, Daniel Molina
Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies. Eur. J. Oper. Res. 169 (2) (2006)
Carlos García-Martínez, Manuel Lozano
Hybrid real-coded genetic algorithms with female and male differentiation. Congress on Evolutionary Computation (2005)
Daniel Molina, Francisco Herrera, Manuel Lozano
Adaptive local search parameters for real-coded memetic algorithms. Congress on Evolutionary Computation (2005)
José Ramón Cano, Francisco Herrera, Manuel Lozano
Stratification for scaling up evolutionary prototype selection. Pattern Recognit. Lett. 26 (7) (2005)
Francisco Herrera, Manuel Lozano
Editorial Real coded genetic algorithms. Soft Comput. 9 (4) (2005)
Francisco Herrera, Manuel Lozano, Ana M. Sánchez
Hybrid crossover operators for real-coded genetic algorithms: an experimental study. Soft Comput. 9 (4) (2005)
Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina
Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evol. Comput. 12 (3) (2004)
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) (2003)
Francisco Herrera, Manuel Lozano
Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions. Soft Comput. 7 (8) (2003)
José Ramón Cano, Francisco Herrera, Manuel Lozano
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study. IEEE Trans. Evol. Comput. 7 (6) (2003)
Francisco Herrera, Manuel Lozano, Elena 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)
Francisco Herrera, Manuel Lozano
Adaptive genetic operators based on coevolution with fuzzy behaviors. IEEE Trans. Evol. Comput. 5 (2) (2001)
Francisco Herrera, Manuel Lozano
Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers. PPSN (2000)
Francisco Herrera, Manuel Lozano
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Appl. Intell. 13 (3) (2000)
Francisco Herrera, Manuel Lozano
Gradual distributed real-coded genetic algorithms. IEEE Trans. Evol. Comput. 4 (1) (2000)
Francisco Herrera, Manuel Lozano, Claudio Moraga
Hierarchical distributed genetic algorithms. Int. J. Intell. Syst. 14 (11) (1999)
Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach. Int. J. Intell. Syst. 14 (11) (1999)
Francisco Herrera, Manuel Lozano, Claudio Moraga
Hybrid Distributed Real-Coded Genetic Algorithms. PPSN (1998)
Francisco Herrera, Manuel Lozano, José L. Verdegay
A learning process for fuzzy control rules using genetic algorithms. Fuzzy Sets Syst. 100 (1-3) (1998)
Francisco Herrera, Manuel Lozano, José L. Verdegay
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis. Artif. Intell. Rev. 12 (4) (1998)
Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. Inteligencia Artif. 2 (5) (1998)
Francisco Herrera, Manuel Lozano, José L. Verdegay
Fuzzy connectives based crossover operators to model genetic algorithms population diversity. Fuzzy Sets Syst. 92 (1) (1997)
Oscar Cordón, Francisco Herrera, Manuel Lozano
A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. PPSN (1996)
Francisco Herrera, Manuel Lozano
Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives. PPSN (1996)
Francisco Herrera, Manuel Lozano, José L. Verdegay
Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms. Int. J. Intell. Syst. 11 (12) (1996)
Francisco Herrera, Manuel Lozano, José L. Verdegay
Tuning fuzzy logic controllers by genetic algorithms. Int. J. Approx. Reason. 12 (3-4) (1995)