Journal Articles
2020(1 publication)
[publication]Maçãs, C. and Lourenço, Nuno and Penousal Machado , "Evolving Visual Artefacts based on Consumption Patterns", International Journal of Arts and Technology, 2020

2019(5 publications)
[publication]Pereira, G.C. and Pereira, S.P. and Pereira, F.B. and Lourenço, Nuno and Lumini, J.A. and Pereira, C.V. and Bjork, J.A. and Magalhães, J. and Ascensão, A. and Moreno, A.J. and Wallace, K.B. and Oliveira, P.J. , "Early Cardiac Mitochondrial Molecular and Functional Responses to Acute Anthracycline Treatment in Wistar Rats", Toxicological Sciences, 2019

[publication]Assunção, F. and Correia, J. and Conceição, R. and Pimenta, M.J.M. and Tomé, B. and Lourenço, Nuno and Penousal Machado , "Automatic Design of Artificial Neural Networks for Gamma-Ray Detection", IEEE Access,  vol. 7,  pp. 110531-110540, 2019

[publication]Pereira, F.B. and Lourenço, Nuno and Jesus, W. and Prudente, F.V. and Marques, J.C. , "Discovering low-energy atomic clusters with machine learning", European Journal of Clinical Investigation,  vol. 49,  pp. 41, 2019

[publication]Lourenço, Nuno and Colmenar, J.M. and Garnica, Ó. and Hidalgo, J.I. , "Predicting glucose in diabetic patients using structured grammatical evolution", European Journal of Clinical Investigation ,  vol. 49, 2019

[publication]Pino, R. and Cunha-Oliveira, T. and Carvalho, F. and Garcia, R. and Burgeiro, A. and Carvalho, R.A. and Oliveira, P.J. and Lourenço, Nuno , "Uncovering hidden patterns in biological datasets to identify metabolic alterations caused by acute and sub-chronic DOX treatments", European Journal of Clinical Investigation,  vol. 49, 2019

2018(3 publications)
[publication]Burgeiro, A. and Fonseca, A.C. and Espinoza, D. and Carvalho, L. and Lourenço, Nuno and Antunes, M. and Carvalho, E. , "Proteostasis in epicardial versus subcutaneous adipose tissue in heart failure subjects with and without diabetes ", Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease ,  vol. 1864,  pp. 2183-2183, 2018

[publication]Granjal, J and Silva, J.M. and Lourenço, Nuno , "Intrusion Detection and Prevention in CoAP Wireless Sensor Networks Using Anomaly Detection", Sensors,  vol. 18,  pp. 2445-2445, 2018

[publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "DENSER: deep evolutionary network structured representation", Genetic Programming and Evolvable Machines, 2018

2016(2 publications)
[publication]Lourenço, Nuno and Pereira, F.B. and Costa, E. , "Unveiling the properties of structured grammatical evolution", Genetic Programming and Evolvable Machines ,  pp. 1-39, 2016
[citation][year=2018]Bartoli, A., Castelli, M., & Medvet, E. (2018). Weighted Hierarchical Grammatical Evolution. IEEE Transactions on Cybernetics.
[citation][year=2018]Brum, A., & Ritt, M. (2018, July). Automatic Design of Heuristics for Minimizing the Makespan in Permutation Flow Shops. In 2018 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE.
Chicago
[citation][year=2018]Brum, A., & Ritt, M. (2018, April). Automatic Algorithm Configuration for the Permutation Flow Shop Scheduling Problem Minimizing Total Completion Time. In European Conference on Evolutionary Computation in Combinatorial Optimization (pp. 85-100). Springer, Cham.
[citation][year=2018]de Souza, M., & Ritt, M. (2018, July). An Automatically Designed Recombination Heuristic for the Test-Assignment Problem. In 2018 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE
[citation][year=2018]de Souza, M., & Ritt, M. (2018, April). Automatic Grammar-Based Design of Heuristic Algorithms for Unconstrained Binary Quadratic Programming. In European Conference on Evolutionary Computation in Combinatorial Optimization (pp. 67-84). Springer, Cham.
[citation][year=2018]Nicolau, M., & Agapitos, A. (2018). Understanding Grammatical Evolution: Grammar Design. In Handbook of Grammatical Evolution (pp. 23-53). Springer, Cham.
[citation][year=2017]Shunya Maruta and Yi Zuo and Masahiro Nagao and Eisuke Kita (2017). Grammati- cal Evolution Using Tree Representation Learning. In Neural Information Processing (pp.346-355)
[citation][year=2017]Medvet, E., Daolio, F., and Tagliapietra, D. (2017). Evolvability in Grammatical Evolu- tion. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO.
[citation][year=2017]Medvet, E., and Tušar, T. (2017). The DU Map: A Visualization to Gain Insights into Genotype-Phenotype Mapping and Diversity.
[citation][year=2017]Nicolau, M. (2017). Understanding grammatical evolution: initialisation. Genetic Pro- gramming and Evolvable Machines, 1-41.
[citation][year=2017]Klotz, D., Herrnegger, M., & Schulz, K. (2017). Symbolic regression for the estimation of transfer functions of hydrological models. Water Resources Research, 53(11), 9402-9423.
[citation][year=2017]Medvet, Eric. "A Comparative Analysis of Dynamic Locality and Redundancy in Grammatical Evolution."
Harvard

[publication]Lassed, S. and Deus, C.M. and Lourenço, Nuno and Dahdouh, A. and Rizvanov, A.A. and Oliveira, P.J. and Zama, D. , "Diet, Lifestyles, Family History, and Prostate Cancer Incidence in an East Algerian Patient Group", BioMed Research International, 2016
[citation][year=2018]Brookman-May, S. D., Campi, R., Henríquez, J. D., Klatte, T., Langenhuijsen, J. F., Brausi, M., ... & Roll, C. (2018). Latest Evidence on the Impact of Smoking, Sports, and Sexual Activity as Modifiable Lifestyle Risk Factors for Prostate Cancer Incidence, Recurrence, and Progression: A Systematic Review of the Literature by the European Association of Urology Section of Oncological Urology (ESOU). European urology focus.
[citation][year=2018]Amuta-Jimenez, A. O., Lo, C., Talwar, D., Khan, N., & Barry, A. E. (2018). Food Label Literacy and Use among US Adults Diagnosed with Cancer: Results from a National Representative Study. Journal of Cancer Education, 1-10.
[citation][year=2017]HamidShafi,MouloudAgajaniDelavar,RezaMaghsoudi.Riskfactorsforprostatecan- cer: A case control study. Caspian Journal of Reproductive Medicine, 2016, 2(2): 6-10

2011(1 publication)
[publication]Lourenço, Nuno and Pereira, F.B. , "PSO-CGO: A Particle Swarm Algorithm for Cluster Geometry Optimization", International Journal of Natural Computing Research, 2011
[citation][year=2018]Vengadeswaran, S., & Balasundaram, S. R. (2018). An Optimal Data Placement Strategy for Improving System Performance of Massive Data Applications Using Graph Clustering. International Journal of Ambient Computing and Intelligence (IJACI), 9(3), 15-30.
[citation][year=2016]Omran, Mohsen Samet. "Computing of the Ground State Energy of a Hydrogen Like Impurity in a Spherical Quantum Dot using QPSO Algorithm." International Journal of Energy Optimization and Engineering (IJEOE) 5.4 (2016): 48-61.
[citation][year=2012]Marco Locatelli, Fabio Schoen, Local search based heuristics for global optimization: Atomic clusters and beyond, European Journal of Operational Research, Volume 222, Issue 1, 1 October 2012, Pages 1-9, ISSN 0377-2217

Conference Articles
2020(9 publications)
[publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Incremental Evolution and Development of Deep Artificial Neural Networks", in EuroGP2020, 2020

[publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution", in EvoAPPS2020, 2020

[publication]Costa, V. and Lourenço, Nuno and Correia, J. and Penousal Machado , "Using Skill Rating as Fitness on the Evolution of GANs", in EvoAPPS2020, 2020

[publication]Martins, J. and Barbosa, R. and Lourenço, Nuno and Robin, J. and Madeira, H. , "Online Verification through Model Checking of Medical Critical Intelligent Systems", in Dependable and Secure Machine Learning (DSML 2020) co-located with the 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020) , 2020

[publication]Costa, V. and Lourenço, Nuno and Correia, J. and Penousal Machado , "Exploring the evolution of GANs through quality diversity", in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

[publication]Carvalho, P. and Lourenço, Nuno and Assunção, F. and Penousal Machado , "AutoLR: an evolutionary approach to learning rate policies", in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

[publication]Lourenço, Nuno and Colmenar, J.M. and Hidalgo, J.I. and Salcedo-Sanz, S. , "Evolving energy demand estimation models over macroeconomic indicators", in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

[publication]Costa, V. and Lourenço, Nuno and Correia, J. and Penousal Machado , "Using Skill Rating as Fitness on the Evolution of GANs", in Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings, 2020

[publication]Costa, V. and Lourenço, Nuno and Correia, J. and Penousal Machado , "Exploring the Evolution of GANs through Quality Diversity", in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

2019(7 publications)
[publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Fast DENSER: Efficient Deep NeuroEvolution", in EuroGP 2019, 2019

[publication]Costa, V. and Lourenço, Nuno and Penousal Machado , "Coevolution of Generative Adversarial Networks", in EvoAPPS 2019, 2019

[publication]Lourenço, Nuno and Colmenar, J.M. and Hidalgo, J.I. and Garnica, Ó. , "Structured Grammatical Evolution for Glucose Prediction in Diabetic Patients", in The Genetic and Evolutionary Computation Conference (GECCO) 2019, 2019

[publication]Lourenço, Nuno and Bruno Cabral and Granjal, J , "Driving Profile using Evolutionary Computation", in 2019 IEEE Congress on Evolutionary Computation (CEC), 2019

[publication]Costa, V. and Lourenço, Nuno and Correia, J. and Penousal Machado , "COEGAN: evaluating the coevolution effect in generative adversarial networks", in GECCO 2019, 2019

[publication]Valentim, I. and Lourenço, Nuno and Nuno Antunes , "The Impact of Data Preparation on the Fairness of Software Systems", in International Symposium on Software Reliability Engineering (ISSRE 2019), 2019

[publication]João Miguel Cunha and Lourenço, Nuno and Correia, J. and Martins, P. and Penousal Machado , "Emojinating: Evolving Emoji Blends", in Computational Intelligence in Music, Sound, Art and Design. (EvoMUSART 2019), 2019

2018(4 publications)
[publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Evolving the Topology of Large Scale Deep Neural Networks", in EuroGP 2018, 2018
[citation][year=2018]Liu, Z., Bousquet, O., Elisseeff, A., Escalera, S., Guyon, I., Jacques, J., ... & Tu, W. W. (2018, December). AutoDL Challenge Design and Beta Tests-Towards automatic deep learning. In CiML workshop@ NIPS2018.

[publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Using GP is NEAT: Evolving Compositional Pattern Production Functions", in EuroGP 2018, 2018

[publication]Assunção, F. and Serero, D. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Automatic Evolution of AutoEncoders for Compressed Representations", in World Congress on Computational Intelligence, 2018

[publication]Maçãs, C. and Lourenço, Nuno and Penousal Machado , "Interactive Evolution of Swarms for the Visualisation of Consumptions", in ArtsIT 2018 – 7th EAI International Conference: ArtsIT, Interactivity & Game Creation, 2018, 2018

2017(7 publications)
[publication]Lourenço, Nuno and Ferrer, J. and Pereira, F.B. and Costa, E. , "A Comparative Study of Different Grammar-Based Genetic Programming Approaches", in EuroGP, 2017
[citation][year=2018]Bartoli, A., Castelli, M., & Medvet, E. (2018). Weighted Hierarchical Grammatical Evolution. IEEE Transactions on Cybernetics.
[citation][year=2018]Nicolau, M., & Agapitos, A. (2018). Understanding Grammatical Evolution: Grammar Design. In Handbook of Grammatical Evolution (pp. 23-53). Springer, Cham.
Chicago
[citation][year=2017]Nicolau, M. (2017). Understanding grammatical evolution: initialisation. Genetic Pro- gramming and Evolvable Machines, 1-41.

[publication]Lourenço, Nuno and Assunção, F. and Maçãs, C. and Penousal Machado , "EvoFashion: Customising Fashion Through Evolution", in International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART), 2017
[citation][year=2018]Loughran, R. (2018). Grammatical Evolution and Creativity. In Handbook of Grammatical Evolution (pp. 341-366). Springer, Cham.

[publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Automatic Generation of Neural Networks with Structured Grammatical Evolution", in IEEE Congress on Evolutionary Computation (CEC), 2017
[citation][year=2018]Itano, F., de Sousa, M. A. D. A., & Del-Moral-Hernandez, E. (2018, July). Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm. In 2018 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

[publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach", in Genetic and Evolutionary Computation Conference (GECCO), 2017

[publication]Alcides Fonseca and Lourenço, Nuno and Bruno Cabral , " Evolving Cut-Off Mechanisms and Other Work-Stealing Parameters for Parallel Programs", in Applications of Evolutionary Computation, 2017
[citation][year=2018]ur Rahman, H., Wang, G., Chen, J., & Jiang, H. Performance Evaluation of Hypervisors and the Effect of Virtual CPU on Performance.

[publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolutionary Machine Learning: An Essay on Bechmarking", in Portuguese Conference on Pattern Recognition (RecPad), 2017

[publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolutionary Machine Learning: An Essay on Experimental Design", in Portuguese Conference on Pattern Recognition (RecPad), 2017

2016(1 publication)
[publication]Lourenço, Nuno and Pereira, F.B. and Costa, E. , "An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem", in EvoCOP, 2016
[citation][year=2018]Wu, J., Polyakovskiy, S., Wagner, M., & Neumann, F. (2018). Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem. arXiv preprint arXiv:1802.02434.
[citation][year=2018]Nieto-Fuentes, R., Segura, C., & Valdez, S. I. (2018, July). A Guided Local Search Approach for the Travelling Thief Problem. In 2018 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE.
[citation][year=2018]Wuijts, R. H. (2018). Investigation of the Traveling Thief Problem (Master's thesis).
[citation][year=2017]Vieira, D. K., Soares, G. L., Vasconcelos, J. A., and Mendes, M. H. (2017, April). A Ge- netic Algorithm for Multi-component Optimization Problems: The Case of the Travel- ling Thief Problem. In European Conference on Evolutionary Computation in Combi- natorial Optimization (pp. 18-29). Springer, Cham.
[citation][year=2017]Moeini,M.,Schermer,D.,andWendt,O.(2017,July).AHybridEvolutionaryApproach for Solving the Traveling Thief Problem. In International Conference on Computational Science and Its Applications (pp. 652-668). Springer, Cham.
[citation][year=2017]Polyakovskiy, Sergey, and Frank Neumann. "The Packing While Traveling Problem." European Journal of Operational Research 258, no. 2 (2017): 424-439.

2015(2 publications)
[publication]Lourenço, Nuno and Pereira, F.B. and Costa, E. , "The Optimization Ability of Evolved Strategies", in 17th Portuguese Conference on Artificial Intelligence (EPIA 2015), 2015
[citation][year=2017]Soria-Alcaraz, J. A., Espinal, A., and Sotelo-Figueroa, M. A. (2017). Evolvability metric estimation by a parallel perceptron for on-line selection hyper-heuristics. IEEE Access, 5, 7055-7063.
[citation][year=2016]Mariani, Thainá, Giovani Guizzo, Silvia R. Vergilio, and Aurora TR Pozo. "A grammatical evolution hyper-heuristic for the integration and test order problem." In GECCO. ACM, 2016.
[citation][year=2016]Mariani, Thainá, Giovani Guizzo, Silvia R. Vergilio, and Aurora TR Pozo. "Grammatical Evolution for the Multi-Objective Integration and Test Order Problem." In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, pp. 1069-1076. ACM, 2016.
[citation][year=2016]Mariani, Thainá, Giovani Guizzo, Silvia R. Vergilio, and Aurora TR Pozo. "Automatic Design of Algorithms Applied to the Multi-Objective TSP Problem."

[publication]Lourenço, Nuno and Pereira, F.B. and Costa, E. , "SGE: A Structured Representation for Grammatical Evolution", in Artificial Evolution 2015, 2015
[citation][year=2018]Medvet, E., Bartoli, A., De Lorenzo, A., & Tarlao, F. (2018). Designing automatically a representation for grammatical evolution. Genetic Programming and Evolvable Machines, 1-29.
[citation][year=2018]Medvet, E., Bartoli, A., De Lorenzo, A., & Tarlao, F. (2018, September). GOMGE: Gene-Pool Optimal Mixing on Grammatical Evolution. In International Conference on Parallel Problem Solving from Nature (pp. 223-235). Springer, Cham.
[citation][year=2018]Bartoli, A., Castelli, M., & Medvet, E. (2018). Weighted Hierarchical Grammatical Evolution. IEEE Transactions on Cybernetics.
[citation][year=2018]Ryan, C., O’Neill, M., & Collins, J. J. (2018). Introduction to 20 Years of Grammatical Evolution. In Handbook of Grammatical Evolution (pp. 1-21). Springer, Cham.
[citation][year=2018]Medvet, E., & Bartoli, A. (2018, April). On the Automatic Design of a Representation for Grammar-Based Genetic Programming. In European Conference on Genetic Programming (pp. 101-117). Springer, Cham.
[citation][year=2018]Fagan, D., & Murphy, E. (2018). Mapping in Grammatical Evolution. In Handbook of Grammatical Evolution (pp. 79-108). Springer, Cham.
[citation][year=2018]Medvet, E., Virgolin, M., Castelli, M., Bosman, P. A., Gonçalves, I., & Tušar, T. (2018). Unveiling evolutionary algorithm representation with DU maps. Genetic Programming and Evolvable Machines, 19(3), 351-389.
[citation][year=2017]Medvet, E. (2017). Hierarchical Grammatical Evolution. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO.
[citation][year=2017]Medvet, E., Daolio, F., and Tagliapietra, D. (2017). Evolvability in Grammatical Evolu- tion. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO.
[citation][year=2017]Medvet, E., and Tušar, T. (2017). The DU Map: A Visualization to Gain Insights into Genotype-Phenotype Mapping and Diversity.
[citation][year=2017]Ryser-Welch, P. (2017). Evolving comprehensible and scalable solvers using CGP for solving some real-world inspired problems (Doctoral dissertation, University of York).
[citation][year=2017]Medvet, Eric, Alberto Bartoli, and Jacopo Talamini. "Road Traffic Rules Synthesis using Grammatical Evolution."
[citation][year=2017]Medvet, Eric. "A Comparative Analysis of Dynamic Locality and Redundancy in Grammatical Evolution."

2013(2 publications)
[publication]Lourenço, Nuno and Pereira, F.B. and Costa, E. , "The Importance of the Learning Conditions in Hyper-Heuristics", in Genetic and Evolutionary Computation Conference (GECCO 2013), 2013
[citation][year=2018]Nyathi, T., & Pillay, N. (2018). Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms. Expert Systems with Applications, 104, 213-234.
[citation][year=2018]Pillay, N., & Qu, R. Hyper-Heuristics: Theory and Applications.
[citation][year=2018]Sevaux, M., Sörensen, K., & Pillay, N. (2018). Adaptive and multilevel metaheuristics. Handbook of Heuristics, 1-19.
[citation][year=2017]D?az, X. F. C. S. (2017). School of Engineering and Sciences (Doctoral dissertation, Instituto Tecnológico y de Estudios Superiores de Monterrey).
[citation][year=2017]Ryser-Welch, P. (2017). Evolving comprehensible and scalable solvers using CGP for solving some real-world inspired problems (Doctoral dissertation, University of York).
[citation][year=2017]Mariani, T., Guizzo, G., Vergilio, S. R., & Pozo, A. T. Automatic Design of Algorithms Applied to the Multi-Objective TSP Problem.
[citation][year=2016]Ortiz-Bayliss, José Carlos, Hugo Terashima-Marín, and Santiago Enrique Conant-Pablos. "A Neuro-evolutionary Hyper-heuristic Approach for Constraint Satisfaction Problems." Cognitive Computation 8.3 (2016): 429-441.
[citation][year=2016]Martin, Matthew Allen. "Hyper-heuristics for the automated design of black-box search algorithms.".
[citation][year=2016]Mariani, T., Guizzo, G., Vergilio, S. R., & Pozo, A. T. "Automatic Design of Algorithms Applied to the Multi-Objective TSP Problem".
[citation][year=2016]Mariani, Thainá, Giovani Guizzo, Silvia R. Vergilio, and Aurora TR Pozo. "Grammatical Evolution for the Multi-Objective Integration and Test Order Problem." Proceedings of the 2016 on Genetic and Evolutionary Computation Conference. ACM, 2016.
[citation][year=2016]Mariani, Thainá, Giovani Guizzo, Silvia R. Vergilio, and Aurora TR Pozo. "A grammatical evolution hyper-heuristic for the integration and test order problem." GECCO. ACM, 2016.
[citation][year=2015]Martin, Matthew A., and Daniel R. Tauritz. "Hyper-Heuristics: A Study On Increasing Primitive-Space." Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM, 2015.
[citation][year=2015]Martin, M. A. (2015). Hyper-heuristics for the automated design of black-box search algorithms.
[citation][year=2015]Matthew A. Martin and Daniel R. Tauritz. 2014. A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic. In Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion (GECCO Comp '14)

[publication]Lourenço, Nuno and Pereira, F.B. and Costa, E. , "Learning Selection Strategies for Evolutionary Algorithms", in Artificial Evolution (EA-2013), 2013
[citation][year=2018]Richter, S. N., & Tauritz, D. R. (2018, July). The automated design of probabilistic selection methods for evolutionary algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1545-1552). ACM.

2012(2 publications)
[publication]Lourenço, Nuno and Pereira, F.B. , "DACCO: A Discrete Ant Colony Algorithm to Cluster Geometry Optimization", in Genetic and Evolutionary Computation Conference (GECCO-2012), 2012
[citation][year=2018]García Blanquel, E. Algoritmo evolutivo paralelo para transformaciones de espacio en problemas de optimización.
[citation][year=2017]Kovartsev AN. Geometric method for large morse clusters formation. Computer Optics
2017; 41(1): 118-125. DOI: 10.18287/2412-6179-2017-41-1-118-125.
[citation][year=2015]A.N. Kovartsev, A Deterministic Evolutionary Algorithm for the Global Optimization of Morse Clusters

[publication]Lourenço, Nuno and Pereira, F.B. and Costa, E. , "Evolving Evolutionary Algorithms", in Genetic and Evolutionary Computation Conference (GECCO-2012), 2012
[citation][year=2018]Sevaux, M., Sörensen, K., & Pillay, N. (2018). Adaptive and multilevel metaheuristics. Handbook of Heuristics, 1-19.
[citation][year=2018]Nyathi, T., & Pillay, N. (2018). Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms. Expert Systems with Applications, 104, 213-234.
Chicago
[citation][year=2017]Lima, Ricardo Henrique Remes de. "Um estudo sobre configuração automática do algoritmo de otimização por enxame de partículas multiobjetivo." (2017).
[citation][year=2017]Fontoura, Vidal Daniel da. "Meta-heurísticas e hiper-heurísticas aplicadas ao problema de dobramento de proteínas." (2017).
[citation][year=2017]Ryser-Welch, P. (2017). Evolving comprehensible and scalable solvers using CGP for solving some real-world inspired problems (Doctoral dissertation, University of York).
[citation][year=2017]Mariani,T.,Guizzo,G.,Vergilio,S.R.,andPozo,A.T.AutomaticDesignofAlgorithms Applied to the Multi-Objective TSP Problem.
[citation][year=2016]Mariani, T., Guizzo, G., Vergilio, S. R., and Pozo, A. T. (2016). A grammatical evolution hyper-heuristic for the integration and test order problem. In Genetic and Evolutionary Computation Conference
[citation][year=2016]van Rijn, Sander, Hao Wang, Matthijs van Leeuwen, and Thomas Bäck. "Evolving the Structure of Evolution Strategies." arXiv preprint arXiv:1610.05231 (2016)
[citation][year=2016]Franzin, Alberto, and Thomas Stützle. "Exploration of Metaheuristics through Automatic Algorithm Configuration Techniques and Algorithmic Frameworks." Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. ACM, 2016.
[citation][year=2016]Mariani, Thainá, Giovani Guizzo, Silvia R. Vergilio, and Aurora TR Pozo. "A grammatical evolution hyper-heuristic for the integration and test order problem." GECCO. ACM, 2016.
[citation][year=2016]Mariani, Thainá, Giovani Guizzo, Silvia R. Vergilio, and Aurora TR Pozo. "Grammatical Evolution for the Multi-Objective Integration and Test Order Problem." Proceedings of the 2016 on Genetic and Evolutionary Computation Conference. ACM, 2016.
[citation][year=2015]Ryser-Welch, Patricia, Julian F. Miller, and Shahriar Asta. "Generating human-readable algorithms for the Travelling Salesman Problem using Hyper-Heuristics." Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM, 2015.
[citation][year=2015]Ryser-Welch, Patricia, Julian F. Miller, and Shariar Asta. "Evolutionary Cross-Domain Hyper-Heuristics." Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM, 2015.
[citation][year=2015]Martin, Matthew Allen. Hyper-heuristics for the automated design of black-box search algorithms. Missouri University of Science and Technology, 2015.
[citation][year=2015]Harris, S., Bueter, T., and Tauritz, D. R. (2015, July). A Comparison of Genetic Pro- gramming Variants for Hyper-Heuristics. In Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (pp. 1043- 1050). ACM.
[citation][year=2015]Aboshosha, Ashraf, Kamal A. ElDahshan, Eman K. Elsayed, and Ahmed A. Elngar. "EA Based Dynamic Key Generation in RC4 Ciphering Applied to CMS."
[citation][year=2015]Martin, Matthew A., and Daniel R. Tauritz. "Hyper-Heuristics: A Study On Increasing Primitive-Space." Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM, 2015.
[citation][year=2014]Ryser-Welch, Patricia, and Julian F. Miller. "A Review of Hyper-Heuristic Frameworks.", Proceedings of the 50th Anniversary Convention of the AISB
[citation][year=2014]Martin, Matthew A., and Daniel R. Tauritz, "A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic", Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion. ACM, 2014
[citation][year=2013]Martin, Matthew A., and Daniel R. Tauritz. "Evolving black-box search algorithms employing genetic programming." Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. ACM, 2013.
[citation][year=2013]de Sá, Alex Guimarães Cardoso, and Gisele Lobo Pappa. "Towards a method for automatically evolving bayesian network classifiers." Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. ACM, 2013.

Edited Books
2020(1 publication)
[publication]Hu, T. and Lourenço, Nuno and Medvet, E. and Divina, F. ,Proceedings of the EuroGP: European Conference on Genetic Programming , "EuroGP: European Conference on Genetic Programming 2020",  vol. 12101, 2020

2019(1 publication)
[publication]Sekanina, L. and Hu, T. and Lourenço, Nuno and Richter, H. and Sánchez, P.G. ,Proceedings of the Evostar , "EuroGP: European Conference on Genetic Programming 2019",  vol. 1, 2019

2018(2 publications)
[publication]Auger, A. and Fonseca, C.M. and Lourenço, Nuno and Penousal Machado and Paquete, L. and Whitley, D. , "Proceedings of the 15th International Conference on Parallel Problem Solving from Nature – (PPSN XV) - Part 1",  vol. 11101, 2018

[publication]Auger, A. and Fonseca, C.M. and Lourenço, Nuno and Penousal Machado and Paquete, L. and Whitley, D. , "Proceedings of the 15th International Conference on Parallel Problem Solving from Nature – (PPSN XV) - Part 2",  vol. 11102, 2018

Book Chapters
2020(1 publication)
[publication]Costa, V. and Lourenço, Nuno and Correia, J. and Penousal Machado , "Neuroevolution of Generative Adversarial Networks", in Natural Computing Series,  vol. 1,  pp. 293-322, 2020

2018(2 publications)
[publication]Lourenço, Nuno and Assunção, F. and Pereira, F.B. and Costa, E. and Penousal Machado , "Structured Grammatical Evolution: A Dynamic Approach", in Handbook of Grammatical Evolution,  vol. 1,  pp. 1-24, 2018

[publication]Marques, J.C. and Jesus, W. and Prudente, F.V. and Pereira, F.B. and Lourenço, Nuno , "Revealing Energy Landscapes of Atomic Clusters by Applying Adaptive Bioinspired Algorithms", in Physical Chemistry for Chemists and Chemical Engineers: Multidisciplinary Research Perspectives,  vol. 1,  pp. 49-70, 2018

PhD Theses
2015(1 publication)
[publication]Lourenço, Nuno , "Enhancing Grammar-Based Approaches for the Automatic Design of Algorithms", 2015

MSc Theses
2011(1 publication)
[publication]Lourenço, Nuno , "Swarm Intelligence Algorithms for Cluster Geometry Optimization", 2011

Tech Report
2019(1 publication)
[publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks", 2019