Manuel Lozano

90 papers A 6B 8C 4Journal 57Unranked 12
YearRankTypeTitle / Venue / Authors
2023 J jnl
Population-based iterated greedy algorithm for the S-labeling problem.
Comput. Oper. Res.
Manuel Lozano, Eduardo Rodriguez-Tello
2021 J jnl
Network reconstruction from betweenness centrality by artificial bee colony.
Swarm Evol. Comput.
Manuel Lozano, Francisco J. Rodríguez
2019 J jnl
Optimizing node infiltrations in complex networks by a local search based heuristic.
Comput. Oper. Res.
Manuel Lozano, Humberto M. Trujillo
2018 J jnl
Artificial Bee Colony for optimization of cloud-ready and survivable elastic optical networks.
Comput. Commun.
Róza Goscien, Manuel Lozano
2018 — ch.
Genetic Algorithms.
Handbook of Heuristics
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
2017 J jnl
GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem.
Comput. Oper. Res.
Francisco J. Rodríguez, Fred W. Glover, Carlos García-Martínez, Rafael Martí, Manuel Lozano
2017 J jnl
Optimizing network attacks by artificial bee colony.
Inf. Sci.
Manuel Lozano, Carlos García-Martínez, Francisco J. Rodríguez, Humberto M. Trujillo
2017 J jnl
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness.
Soft Comput.
Carlos García-Martínez, Pablo David Gutiérrez, Daniel Molina, Manuel Lozano, Francisco Herrera
2016 J jnl
A genetic algorithm for the minimum generating set problem.
Appl. Soft Comput.
Manuel Lozano, Manuel Laguna, Rafael Martí, Francisco J. Rodríguez, Carlos García-Martínez
2016 J jnl
An alternative artificial bee colony algorithm with destructive-constructive neighbourhood operator for the problem of composing medical crews.
Inf. Sci.
José A. Delgado-Osuna, Manuel Lozano, Carlos García-Martínez
2016 J jnl
Randomized greedy multi-start algorithm for the minimum common integer partition problem.
Eng. Appl. Artif. Intell.
Manuel Lozano, Francisco J. Rodríguez, Daniel Peralta, Carlos García-Martínez
2015 J jnl
A two-stage constructive method for the unweighted minimum string cover problem.
Knowl. Based Syst.
Manuel Lozano, Francisco J. Rodríguez, Carlos García-Martínez
2015 J jnl
The firefighter problem: Empirical results on random graphs.
Comput. Oper. Res.
Carlos García-Martínez, Christian Blum, Francisco J. Rodríguez, Manuel Lozano
2014 — conf
A New Memetic Algorithm for Multi-document Summarization Based on CHC Algorithm and Greedy Search.
MICAI (1)
Martha Mendoza, Carlos Alberto Cobos Lozada, Elizabeth León-Guzmán, Manuel Lozano, Francisco J. Rodríguez, Enrique Herrera-Viedma
2014 J jnl
Strategic oscillation for the quadratic multiple knapsack problem.
Comput. Optim. Appl.
Carlos García-Martínez, Fred W. Glover, Francisco J. Rodríguez, Manuel Lozano, Rafael Martí
2014 J jnl
Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem.
Eur. J. Oper. Res.
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
2014 B conf
The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms.
EvoCOP
Christian Blum, Maria J. Blesa, Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
2014 — ed.
Theory and Practice of Natural Computing - Third International Conference, TPNC 2014, Granada, Spain, December 9-11, 2014. Proceedings
TPNC
Adrian-Horia Dediu, Manuel Lozano, Carlos Martín-Vide
2013 J jnl
A hybrid metaheuristic for the cyclic antibandwidth problem.
Knowl. Based Syst.
Manuel Lozano, Abraham Duarte, Francisco Gortázar, Rafael Martí
2013 J jnl
An artificial bee colony algorithm for the maximally diverse grouping problem.
Inf. Sci.
Francisco J. Rodríguez, Manuel Lozano, Carlos García-Martínez, Jonathan D. González-Barrera
2013 J jnl
An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem.
Comput. Oper. Res.
Francisco J. Rodríguez, Manuel Lozano, Christian Blum, Carlos García-Martínez
2012 J jnl
A simulated annealing method based on a specialised evolutionary algorithm.
Appl. Soft Comput.
Carlos García-Martínez, Manuel Lozano, Francisco Javier Rodriguez-Diaz
2012 — conf
An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem.
PPSN (2)
Francisco J. Rodríguez, Carlos García-Martínez, Christian Blum, Manuel Lozano
2012 J jnl
Arbitrary function optimisation with metaheuristics - No free lunch and real-world problems.
Soft Comput.
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
2012 J jnl
GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times.
Ann. Oper. Res.
Francisco J. Rodríguez, Christian Blum, Carlos García-Martínez, Manuel Lozano
2012 J jnl
Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test.
IEEE Trans. Evol. Comput.
Francisco J. Rodríguez, Carlos García-Martínez, Manuel Lozano
2012 B conf
Iterated Greedy Algorithms for the Maximal Covering Location Problem.
EvoCOP
Francisco J. Rodríguez, Christian Blum, Manuel Lozano, Carlos García-Martínez
2012 J jnl
Variable neighborhood search with ejection chains for the antibandwidth problem.
J. Heuristics
Manuel Lozano, Abraham Duarte, Francisco Gortázar, Rafael Martí
2011 C conf
Analysing the significance of no free lunch theorems on the set of real-world binary problems.
ISDA
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
2011 J jnl
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems.
Soft Comput.
Manuel Lozano, Daniel Molina, Francisco Herrera
2011 J jnl
Iterated greedy for the maximum diversity problem.
Eur. J. Oper. Res.
Manuel Lozano, Daniel Molina, Carlos García-Martínez
2011 J jnl
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains.
Soft Comput.
Daniel Molina, Manuel Lozano, Ana M. Sánchez, Francisco Herrera
2011 J jnl
Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation.
Soft Comput.
Carlos García-Martínez, Francisco J. Rodríguez, Manuel Lozano
2010 B conf
A GA-based multiple simulated annealing.
IEEE Congress on Evolutionary Computation
Francisco Javier Rodriguez-Diaz, Carlos García-Martínez, Manuel Lozano
2010 — conf
A Hybrid Metaheuristic for the Longest Common Subsequence Problem.
Hybrid Metaheuristics
Manuel Lozano, Christian Blum
2010 J jnl
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm.
Soft Comput.
Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
2010 J jnl
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics.
Soft Comput.
Carlos García-Martínez, Manuel Lozano
2010 — conf
Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology.
GECCO (Companion)
Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos García-Martínez, Manuel Lozano
2010 J jnl
Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report.
Comput. Oper. Res.
Manuel Lozano, Carlos García-Martínez
2010 B conf
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization.
IEEE Congress on Evolutionary Computation
Daniel Molina, Manuel Lozano, Francisco Herrera
2010 J jnl
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains.
Evol. Comput.
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
2010 A conf
P system model optimisation by means of evolutionary based search algorithms.
GECCO
Carlos García-Martínez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, Manuel Lozano
2009 — conf
A continuous variable neighbourhood search based on specialised EAs: application to the noiseless BBO-benchmark 2009.
GECCO (Companion)
Carlos García-Martínez, Manuel Lozano
2009 — conf
A continuous variable neighbourhood search based on specialised eas: application to the noisy BBO-benchmark 2009 testbed.
GECCO (Companion)
Carlos García-Martínez, Manuel Lozano
2009 — conf
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions.
GECCO (Companion)
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 — conf
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions.
GECCO (Companion)
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 J jnl
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
Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera
2009 C conf
Continuous Variable Neighbourhood Search Algorithm Based on Evolutionary Metaheuristic Components: A Scalability Test.
ISDA
Carlos García-Martínez, Manuel Lozano
2009 J jnl
Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators.
Int. J. Intell. Syst.
Ana M. Sánchez, Manuel Lozano, Pedro Villar, Francisco Herrera
2009 C conf
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test.
ISDA
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 B conf
Memetic algorithm with Local search chaining for large scale continuous optimization problems.
IEEE Congress on Evolutionary Computation
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 B conf
Simulated annealing based on local genetic search.
IEEE Congress on Evolutionary Computation
Carlos García-Martínez, Manuel Lozano
2009 — conf
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems.
LION
Daniel Molina, Manuel Lozano, Francisco Herrera
2008 — conf
An Evolutionary ILS-Perturbation Technique.
Hybrid Metaheuristics
Manuel Lozano, Carlos García-Martínez
2008 J jnl
Global and local real-coded genetic algorithms based on parent-centric crossover operators.
Eur. J. Oper. Res.
Carlos García-Martínez, Manuel Lozano, Francisco Herrera, Daniel Molina, Ana M. Sánchez
2008 — ch.
Local Search Based on Genetic Algorithms.
Advances in Metaheuristics for Hard Optimization
Carlos García-Martínez, Manuel Lozano
2008 J jnl
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection.
Expert Syst. Appl.
José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García
2008 — conf
Memetic Algorithm for Intense Local Search Methods Using Local Search Chains.
Hybrid Metaheuristics
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
2008 J jnl
Real-parameter crossover operators with multiple descendents: An experimental study.
Int. J. Intell. Syst.
Ana M. Sánchez, Manuel Lozano, Carlos García-Martínez, Daniel Molina, Francisco Herrera
2008 J jnl
Replacement strategies to preserve useful diversity in steady-state genetic algorithms.
Inf. Sci.
Manuel Lozano, Francisco Herrera, José Ramón Cano
2007 J jnl
Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability.
Data Knowl. Eng.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2007 C conf
Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks.
IDEAL
Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano
2006 A conf
A Local Genetic Algorithm for Binary-Coded Problems.
PPSN
Carlos García-Martínez, Manuel Lozano, Daniel Molina
2006 J jnl
Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies.
Eur. J. Oper. Res.
Francisco Herrera, Manuel Lozano, Daniel Molina
2006 J jnl
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining.
Appl. Soft Comput.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2005 B conf
Adaptive local search parameters for real-coded memetic algorithms.
Congress on Evolutionary Computation
Daniel Molina, Francisco Herrera, Manuel Lozano
2005 J jnl
Editorial Real coded genetic algorithms.
Soft Comput.
Francisco Herrera, Manuel Lozano
2005 J jnl
Hybrid crossover operators for real-coded genetic algorithms: an experimental study.
Soft Comput.
Francisco Herrera, Manuel Lozano, Ana M. Sánchez
2005 B conf
Hybrid real-coded genetic algorithms with female and male differentiation.
Congress on Evolutionary Computation
Carlos García-Martínez, Manuel Lozano
2005 J jnl
Stratification for scaling up evolutionary prototype selection.
Pattern Recognit. Lett.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2004 J jnl
Real-Coded Memetic Algorithms with Crossover Hill-Climbing.
Evol. Comput.
Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina
2003 J jnl
A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study.
Int. J. Intell. Syst.
Francisco Herrera, Manuel Lozano, Ana M. Sánchez
2003 J jnl
Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions.
Soft Comput.
Francisco Herrera, Manuel Lozano
2003 J jnl
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study.
IEEE Trans. Evol. Comput.
José Ramón Cano, Francisco Herrera, Manuel Lozano
2002 — conf
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
Francisco Herrera, Manuel Lozano, Elena Pérez, Ana M. Sánchez, Pedro Villar
2001 J jnl
Adaptive genetic operators based on coevolution with fuzzy behaviors.
IEEE Trans. Evol. Comput.
Francisco Herrera, Manuel Lozano
2000 A conf
Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers.
PPSN
Francisco Herrera, Manuel Lozano
2000 J jnl
Gradual distributed real-coded genetic algorithms.
IEEE Trans. Evol. Comput.
Francisco Herrera, Manuel Lozano
2000 J jnl
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes.
Appl. Intell.
Francisco Herrera, Manuel Lozano
1999 J jnl
Hierarchical distributed genetic algorithms.
Int. J. Intell. Syst.
Francisco Herrera, Manuel Lozano, Claudio Moraga
1999 J jnl
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach.
Int. J. Intell. Syst.
Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano
1998 J jnl
A learning process for fuzzy control rules using genetic algorithms.
Fuzzy Sets Syst.
Francisco Herrera, Manuel Lozano, José L. Verdegay
1998 A conf
Hybrid Distributed Real-Coded Genetic Algorithms.
PPSN
Francisco Herrera, Manuel Lozano, Claudio Moraga
1998 J jnl
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas.
Inteligencia Artif.
Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano
1998 J jnl
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis.
Artif. Intell. Rev.
Francisco Herrera, Manuel Lozano, José L. Verdegay
1997 J jnl
Fuzzy connectives based crossover operators to model genetic algorithms population diversity.
Fuzzy Sets Syst.
Francisco Herrera, Manuel Lozano, José L. Verdegay
1996 A conf
A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples.
PPSN
Oscar Cordón, Francisco Herrera, Manuel Lozano
1996 J jnl
Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms.
Int. J. Intell. Syst.
Francisco Herrera, Manuel Lozano, José L. Verdegay
1996 A conf
Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives.
PPSN
Francisco Herrera, Manuel Lozano
1995 J jnl
Tuning fuzzy logic controllers by genetic algorithms.
Int. J. Approx. Reason.
Francisco Herrera, Manuel Lozano, José L. Verdegay