Chicano, F., Whitley D., & Tinos R. (2016).  Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems. Proceedings of the Genetic and Evolutionary Computation Conference 2016.

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Chicano, F., Whitley D., & Tinós R. (2016).  Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization. 16th European Conference on Evolutionary Computation for Combinatorial Optimization (LNCS 9595).

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Lopez-Herrejon, R. E., Ferrer J., Chicano F., Egyed A., & Alba E. (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.

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Morales, R., Sabane A., Musavi P., Khomh F., Chicano F., & Antoniol G. (2016).  Finding the Best Compromise Between Design Quality and Testing Effort During Refactoring. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering.

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L. Whitley, D., Chicano F., & Goldman B. W. (2016).  Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT). Evolutionary Computation. 24(3), 491 - 519.

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Ferrer, J., García-Nieto J., Alba E., & Chicano F. (2016).  Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios. Mathematical Problems in Engineering. 2016,

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Ben-Smida, H. E., Krichen S., Chicano F., & Alba E. (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.

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Tinos, R., Liang Z., Chicano F., & Whitley D. (2016).  A New Evaluation Function for Clustering: The NK Internal Validation Criterion. Proceedings of the Genetic and Evolutionary Computation Conference 2016.

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Cintrano, C., Chicano F., & Alba E. (2017).  Bi-objective Shortest Path Problem in Real Road Networks. (Alba, E., Chicano F., & Luque G., Ed.).10268143824236221241252, 128 - 136.

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Ferrer, J., Chicano F., & Alba E. (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.

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Perez-Wohlfeil, E., Chicano F., & Alba E. (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.

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Chicano, F., & Luque G. (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.

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Chicano, F., Whitley D., Ochoa G., & Tinos R. (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.

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Doerr, C., & Chicano F. (2017).  Preface to the Special Issue on Theory of Genetic and Evolutionary Computation. Algorithmica. 78(2), 558 - 560.

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Morales, R., Soh Z., Khomh F., Antoniol G., & Chicano F. (2017).  On the use of developers’ context for automatic refactoring of software anti-patterns. Journal of Systems and Software. 128, 236-251.

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Ortega-Toro, J. Antonio, Ferrer J., & Chicano F. (2018).  CMSA para el problema de la generación de casos de prueba priorizados en líneas de productos software. Jornadas de Ingeniería del Software y Bases de Datos.

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Ortega-Toro, J. Antonio, Ferrer J., & Chicano F. (2018).  CMSA para el problema de la generación de casos de prueba priorizados en líneas de productos software. JISBD.

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Morales, R., Saborido R., Khomh F., Chicano F., & Antoniol G. (2018).  EARMO: An Energy-Aware Refactoring Approach for Mobile Apps. IEEE Transactions on Software Engineering. 44(12), 1176-1206.

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Hu, B., & Chicano F. (2018).  Editorial for the special issue on metaheuristics for combinatorial optimization. Journal of Heuristics. 24(3), 239-242.

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Morales, R., Chicano F., Khomh F., & Antoniol G. (2018).  Efficient Refactoring Scheduling Based On Partial Order Reduction. Journal of Systems and Software. 145, 25-51.

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Chicano, F., Ochoa G., Whitley D., & ós R. (2018).  Enhancing partition crossover with articulation points analysis. (Aguirre, H., Ed.).the Genetic and Evolutionary Computation ConferenceProceedings of the Genetic and Evolutionary Computation Conference on - GECCO '18.

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Morales, R., Chicano F., Khomh F., & Antoniol G. (2018).  Exact search-space size for the refactoring scheduling problem. Automated Software Engineering. 25(2), 195-200.

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Cintrano, C., Chicano F., Stützle T., & Alba E. (2018).  Lecture Notes in Computer ScienceAdvances in Artificial IntelligenceStudying Solutions of the p-Median Problem for the Location of Public Bike Stations. (Herrera, F., Damas S., Montes R., Alonso S., Cordón Ó., González A., et al., Ed.).11160, 198 - 208.

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Stolfi, D. H., Cintrano C., Chicano F., & Alba E. (2018).  Lecture Notes in Computer ScienceAdvances in Artificial IntelligenceAn Intelligent Advisor for City Traffic Policies. (Herrera, F., Damas S., Montes R., Alonso S., Cordón Ó., González A., et al., Ed.).11160, 383 - 393.

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Stolfi, D. H., Cintrano C., Chicano F., & Alba E. (2018).  Natural evolution tells us how to best make goods delivery. (Aguirre, H., Ed.).Genetic and Evolutionary Computation Conference (Companion).

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