Publications
Bi-objective Shortest Path Problem in Real Road Networks.
(Alba, E., Chicano F., & Luque G., Ed.).10268143824236221241252, 128 - 136.
(2017). Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines.
(Squillero, G., & Sim K., Ed.).Lecture Notes in Computer Science. 10200, 3 - 19.
(2017). An Intelligent Data Analysis of the Structure of NP Problems for Efficient Solution: The Vehicle Routing Case.
(ömer, P., Alba E., Pan J-S., & ášel áclav., Ed.).6823264447, 368 - 378.
(2017). A Mobile Application and Academic Portal to Support Professionals Working with People Having Severe Intellectual or Developmental Disabilities.
Procedia - Social and Behavioral Sciences. 237, 568 - 575.
(2017). Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search.
the Genetic and Evolutionary Computation ConferenceProceedings of the Genetic and Evolutionary Computation Conference on - GECCO '17.
(2017). Preface to the Special Issue on Theory of Genetic and Evolutionary Computation.
Algorithmica. 78(2), 558 - 560.
(2017). On the use of developers’ context for automatic refactoring of software anti-patterns.
Journal of Systems and Software. 128, 236-251.
(2017). Aplicando programación lineal entera a la búsqueda de conjuntos de productos de prueba priorizados para líneas de productos software.
Jornadas de Ingeniería del Software y Bases de Datos.
(2016). CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentaly Friendly Routing Paths.
Smart Cities - First International Conference, Smart-CT 2016, Málaga, Spain, June 15-17, 2016, Proceedings.
(2016). Dos estrategias de búsqueda anytime basadas en programación lineal entera para resolver el problema de selección de requisitos.
Jornada de Ingeniería del Software y Bases de Datos.
(2016). Editorial for the Special Issue on Combinatorial Optimization Problems.
Evolutionary Computation Journal. 24(4),
(2016). Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference 2016.
(2016). Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization.
16th European Conference on Evolutionary Computation for Combinatorial Optimization (LNCS 9595).
(2016). Evolutionary Computation for Software Product Line Testing: An Overview and Open Challenges.
(Pedrycz, W., Succi G., & Sillitti A., Ed.).Computational Intelligence and Quantitative Software Engineering. 59–87.
(2016). Finding the Best Compromise Between Design Quality and Testing Effort During Refactoring.
23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering.
(2016). Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT).
Evolutionary Computation. 24(3), 491 - 519.
(2016). Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios.
Mathematical Problems in Engineering. 2016,
(2016). Mixed Integer Linear Programming Formulation for the Taxi Sharing Problem.
Smart Cities - First International Conference, Smart-CT 2016, Málaga, Spain, June 15-17, 2016, Proceedings.
(2016). A New Evaluation Function for Clustering: The NK Internal Validation Criterion.
Proceedings of the Genetic and Evolutionary Computation Conference 2016.
(2016). Descomposición en Landscapes Elementales del Problema de Diseño de Redes de Radio con Aplicaciones.
Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2015).
(2015). Fitness Probability Distribution of Bit-Flip Mutation.
Evolutionary Computation. 23(2), 217-248.
(2015). Generación de Secuencias de Pruebas Funcionales con Algoritmos Bio-inspirados.
Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2015).
(2015). Mutantes como apoyo para la valoración de pruebas.
Jornadas sobre la enseñanza universitaria de la informática.
(2015). Mutantes como Apoyo para la Valoración de Pruebas.
TICs Aplicadas para el aprendizaje de la Ingeniería. 37-44.
(2015). Optimización multi-objetivo basada en preferencias para la planificación de proyectos software.
Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2015).
(2015).