| 2019 | A 'phylogeny-aware' multi-objective optimization approach for computing MSA. Muhammad Ali Nayeem, Md. Shamsuzzoha Bayzid, Atif Hasan Rahman, Rifat Shahriyar, M. Sohel Rahman |
| 2019 | A benefit-driven genetic algorithm for balancing privacy and utility in database fragmentation. Yong-Feng Ge, Jinli Cao, Hua Wang, Jiao Yin, Wei-Jie Yu, Zhi-Hui Zhan, Jun Zhang |
| 2019 | A characterisation of S-box fitness landscapes in cryptography. Domagoj Jakobovic, Stjepan Picek, Marcella S. R. Martins, Markus Wagner |
| 2019 | A combination of two simple decoding strategies for the no-wait job shop scheduling problem. Víctor M. Valenzuela, Carlos A. Brizuela, María Cosío León, Alma Danisa Romero Ocaño |
| 2019 | A feature rich distance-based many-objective visualisable test problem generator. Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen |
| 2019 | A generic approach to districting with diameter or center-based objectives. Alex Gliesch, Marcus Ritt |
| 2019 | A genetic algorithm hybridisation scheme for effective use of parallel workers. Simon Bowly |
| 2019 | A global surrogate assisted CMA-ES. Nikolaus Hansen |
| 2019 | A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner |
| 2019 | A hybrid evolutionary system for automatic software repair. Yuan Yuan, Wolfgang Banzhaf |
| 2019 | A hybrid metaheuristic approach to a real world employee scheduling problem. Kenneth N. Reid, Jingpeng Li, Alexander E. I. Brownlee, Mathias Kern, Nadarajen Veerapen, Jerry Swan, Gilbert Owusu |
| 2019 | A hybrid multi-objective evolutionary algorithm for economic-environmental generation scheduling. Vasilios Tsalavoutis, Constantinos Vrionis, Athanasios Tolis |
| 2019 | A lexicographic genetic algorithm for hierarchical classification rule induction. Gean Trindade Pereira, Paulo Henrique Ribeiro Gabriel, Ricardo Cerri |
| 2019 | A memetic algorithm approach to network alignment: mapping the classification of mental disorders of DSM-IV with ICD-10. Mohammad Nazmul Haque, Luke Mathieson, Pablo Moscato |
| 2019 | A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bäck |
| 2019 | A novel hybrid scheme using genetic algorithms and deep learning for the reconstruction of portuguese tile panels. Daniel Rika, Dror Sholomon, Eli (Omid) David, Nathan S. Netanyahu |
| 2019 | A parameterless performance metric for reference-point based multi-objective evolutionary algorithms. Sunith Bandaru, Henrik Smedberg |
| 2019 | A peek into the swarm: analysis of the gravitational search algorithm and recommendations for parameter selection. Florian Knauf, Ralf Bruns |
| 2019 | A stable hybrid method for feature subset selection using particle swarm optimization with local search. Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty |
| 2019 | A surrogate model assisted (1+1)-ES with increased exploitation of the model. Jingyun Yang, Dirk V. Arnold |
| 2019 | A tight runtime analysis for the cGA on jump functions: EDAs can cross fitness valleys at no extra cost. Benjamin Doerr |
| 2019 | A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling. Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2019 | AM Umair Ayub, Asim Ikram, Waseem Shahzad |
| 2019 | Absumption to complement subsumption in learning classifier systems. Yi Liu, Will N. Browne, Bing Xue |
| 2019 | Adaptive large neighborhood search for scheduling of mobile robots. Quang-Vinh Dang, Hana Rudová, Cong Thanh Nguyen |
| 2019 | Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification. Binh Tran, Bing Xue, Mengjie Zhang |
| 2019 | Adaptive objective selection for multi-fidelity optimization. Youhei Akimoto, Takuma Shimizu, Takahiro Yamaguchi |
| 2019 | Adaptive ranking based constraint handling for explicitly constrained black-box optimization. Naoki Sakamoto, Youhei Akimoto |
| 2019 | Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms. Hao Tong, Jialin Liu, Xin Yao |
| 2019 | Algorithm selection using deep learning without feature extraction. Mohamad Alissa, Kevin Sim, Emma Hart |
| 2019 | An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization. Annibale Panichella |
| 2019 | An automated ensemble learning framework using genetic programming for image classification. Ying Bi, Bing Xue, Mengjie Zhang |
| 2019 | An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms. Mario Alejandro Hevia Fajardo |
| 2019 | An illumination algorithm approach to solving the micro-depot routing problem. Neil Urquhart, Silke Höhl, Emma Hart |
| 2019 | An improved merge search algorithm for the constrained pit problem in open-pit mining. Angus Kenny, Xiaodong Li, Andreas T. Ernst, Yuan Sun |
| 2019 | Analysis of a meta-ES on a conically constrained problem. Michael Hellwig, Hans-Georg Beyer |
| 2019 | Application of CMSA to the minimum capacitated dominating set problem. Pedro Pinacho Davidson, Salim Bouamama, Christian Blum |
| 2019 | Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms. Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle |
| 2019 | Augmented evolutionary intelligence: combining human and evolutionary design for water distribution network optimisation. Matthew Barrie Johns, Herman A. Mahmoud, David J. Walker, Nicholas D. F. Ross, Edward C. Keedwell, Dragan A. Savic |
| 2019 | Auto-CVE: a coevolutionary approach to evolve ensembles in automated machine learning. Celio H. N. Larcher Jr., Helio J. C. Barbosa |
| 2019 | Autonomous skill discovery with quality-diversity and unsupervised descriptors. Antoine Cully |
| 2019 | Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf |
| 2019 | Benchmarking open-endedness in minimal criterion coevolution. Jonathan C. Brant, Kenneth O. Stanley |
| 2019 | COEGAN: evaluating the coevolution effect in generative adversarial networks. Victor Costa, Nuno Lourenço, João Correia, Penousal Machado |
| 2019 | Challenges for learning in complex environments. Raia Hadsell |
| 2019 | Challenges of convex quadratic bi-objective benchmark problems. Tobias Glasmachers |
| 2019 | Characterising the rankings produced by combinatorial optimisation problems and finding their intersections. Leticia Hernando, Alexander Mendiburu, José Antonio Lozano |
| 2019 | Classification of EEG signals using genetic programming for feature construction. Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira |
| 2019 | Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories. Shuai Zhao, Piotr Dziurzanski, Michal Przewozniczek, Marcin Komarnicki, Leandro Soares Indrusiak |
| 2019 | Comparing and combining lexicase selection and novelty search. Lia Jundt, Thomas Helmuth |
| 2019 | Constrained multiobjective distance minimization problems. Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi |
| 2019 | Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm. Kyle Erwin, Andries P. Engelbrecht |
| 2019 | Convergence and diversity analysis of indicator-based multi-objective evolutionary algorithms. Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello |
| 2019 | Convolutional neural network surrogate-assisted GOMEA. Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman |
| 2019 | Cooperative based hyper-heuristic for many-objective optimization. Gian Mauricio Fritsche, Aurora T. R. Pozo |
| 2019 | Deep neuroevolution of recurrent and discrete world models. Sebastian Risi, Kenneth O. Stanley |
| 2019 | Deep reinforcement learning based parameter control in differential evolution. Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov |
| 2019 | Differential evolution based spatial filter optimization for brain-computer interface. Gabriel Henrique de Souza, Heder Soares Bernardino, Alex Borges Vieira, Helio J. C. Barbosa |
| 2019 | EMOCS: evolutionary multi-objective optimisation for clinical scorecard generation. Diane P. Fraser, Edward C. Keedwell, Stephen L. Michell, Ray Sheridan |
| 2019 | EVA: an evolutionary architecture for network virtualization. Ekaterina A. Holdener, Flavio Esposito, Dmitrii Chemodanov |
| 2019 | Effects of environmental conditions on evolved robot morphologies and behavior. Karine Miras, A. E. Eiben |
| 2019 | Efficient personalized community detection via genetic evolution. Zheng Gao, Chun Guo, Xiaozhong Liu |
| 2019 | Efficient real-time hypervolume estimation with monotonically reducing error. Jonathan E. Fieldsend |
| 2019 | Evolution, robotics and the somersaulting spider. Ingo Rechenberg |
| 2019 | Evolutionary algorithms for the chance-constrained knapsack problem. Yue Xie, Oscar Harper, Hirad Assimi, Aneta Neumann, Frank Neumann |
| 2019 | Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty. Guillaume Povéda, Olivier Regnier-Coudert, Florent Teichteil-Königsbuch, Gérard Dupont, Alexandre Arnold, Jonathan Guerra, Mathieu Picard |
| 2019 | Evolutionary consequences of learning strategies in a dynamic rugged landscape. Nam Le, Michael O'Neill, Anthony Brabazon |
| 2019 | Evolutionary diversity optimization using multi-objective indicators. Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann |
| 2019 | Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks. David Lynch, Takfarinas Saber, Stepán Kucera, Holger Claussen, Michael O'Neill |
| 2019 | Evolutionary neural AutoML for deep learning. Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen |
| 2019 | Evolvability ES: scalable and direct optimization of evolvability. Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman |
| 2019 | Evolved embodied phase coordination enables robust quadruped robot locomotion. Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen, Kyrre Glette |
| 2019 | Evolving boolean functions with conjunctions and disjunctions via genetic programming. Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto |
| 2019 | Evolving controllably difficult datasets for clustering. Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane |
| 2019 | Evolving deep neural networks by multi-objective particle swarm optimization for image classification. Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang |
| 2019 | Evolving dota 2 shadow fiend bots using genetic programming with external memory. Robert J. Smith, Malcolm I. Heywood |
| 2019 | Evolving graphs with horizontal gene transfer. Timothy Atkinson, Detlef Plump, Susan Stepney |
| 2019 | Evolving robust policies for community energy system management. Rui P. Cardoso, Emma Hart, Jeremy V. Pitt |
| 2019 | Evolving stellar models to find the origins of our galaxy. Conrad Chan, Aldeida Aleti, Alexander Heger, Kate Smith-Miles |
| 2019 | Fast re-optimization via structural diversity. Benjamin Doerr, Carola Doerr, Frank Neumann |
| 2019 | Fitness comparison by statistical testing in construction of SAT-based guess-and-determine cryptographic attacks. Artem Pavlenko, Maxim Buzdalov, Vladimir Ulyantsev |
| 2019 | Footprints of fitness functions in search-based software testing. Carlos Oliveira, Aldeida Aleti, Yuan-Fang Li, Mohamed Abdelrazek |
| 2019 | Functional generative design of mechanisms with recurrent neural networks and novelty search. Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen |
| 2019 | GA-guided task planning for multiple-HAPS in realistic time-varying operation environments. Jane Jean Kiam, Eva Besada-Portas, Valerie Hehtke, Axel Schulte |
| 2019 | GenAttack: practical black-box attacks with gradient-free optimization. Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava |
| 2019 | Genetic programming methods for reinforcement learning. Robert Babuska |
| 2019 | Gin: genetic improvement research made easy. Alexander E. I. Brownlee, Justyna Petke, Brad Alexander, Earl T. Barr, Markus Wagner, David Robert White |
| 2019 | Hyper-parameter tuning for the (1 + ( Nguyen Dang, Carola Doerr |
| 2019 | Improved runtime results for simple randomised search heuristics on linear functions with a uniform constraint. Frank Neumann, Mojgan Pourhassan, Carsten Witt |
| 2019 | Improvement of code fragment fitness to guide feature construction in XCS. Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2019 | Improving search-based software testing by constraint-based genetic operators. Ziming Zhu, Li Jiao |
| 2019 | Intentional computational level design. Ahmed Khalifa, Michael Cerny Green, Gabriella A. B. Barros, Julian Togelius |
| 2019 | Investigating recurrent neural network memory structures using neuro-evolution. Alexander Ororbia, AbdElRahman ElSaid, Travis Desell |
| 2019 | Investigation of the traveling thief problem. Rogier Hans Wuijts, Dirk Thierens |
| 2019 | Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy. Zbynek Pitra, Jakub Repický, Martin Holena |
| 2019 | Large-scale noise-resilient evolution-strategies. Oswin Krause |
| 2019 | Learning with delayed synaptic plasticity. Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy |
| 2019 | Lexicase selection in learning classifier systems. Sneha Aenugu, Lee Spector |
| 2019 | Lexicase selection of specialists. Thomas Helmuth, Edward R. Pantridge, Lee Spector |
| 2019 | Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression. Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2019 | Lower bounds on the runtime of crossover-based algorithms via decoupling and family graphs. Andrew M. Sutton, Carsten Witt |
| 2019 | Mapping hearthstone deck spaces through MAP-elites with sliding boundaries. Matthew C. Fontaine, Scott Lee, Lisa B. Soros, Fernando de Mesentier Silva, Julian Togelius, Amy K. Hoover |
| 2019 | Meta-learning on flowshop using fitness landscape analysis. Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci |
| 2019 | Mixed-integer benchmark problems for single- and bi-objective optimization. Tea Tusar, Dimo Brockhoff, Nikolaus Hansen |
| 2019 | Modeling user selection in quality diversity. Alexander Hagg, Alexander Asteroth, Thomas Bäck |
| 2019 | Multi-heap constraint handling in gray box evolutionary algorithms. Thiago Macedo Gomes, Alan Robert Resende de Freitas, Rodolfo Ayala Lopes |
| 2019 | Multi-objective evolutionary algorithm for DNA codeword design. Jeisson Prieto, Jonatan Gómez, Elizabeth León |
| 2019 | Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm. Tinkle Chugh, Tomas Kratky, Kaisa Miettinen, Yaochu Jin, Pekka Makkonen |
| 2019 | Multiplicative up-drift. Benjamin Doerr, Timo Kötzing |
| 2019 | NSGA-Net: neural architecture search using multi-objective genetic algorithm. Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf |
| 2019 | Non-elitist evolutionary multi-objective optimizers revisited. Ryoji Tanabe, Hisao Ishibuchi |
| 2019 | Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem. Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2019 | Novelty search: a theoretical perspective. Stéphane Doncieux, Alban Laflaquière, Alexandre Coninx |
| 2019 | Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates. Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr |
| 2019 | On domain knowledge and novelty to improve program synthesis performance with grammatical evolution. Erik Hemberg, Jonathan Kelly, Una-May O'Reilly |
| 2019 | On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms. Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama |
| 2019 | On inversely proportional hypermutations with mutation potential. Dogan Corus, Pietro S. Oliveto, Donya Yazdani |
| 2019 | On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem. Jakob Bossek, Christian Grimme, Frank Neumann |
| 2019 | On the benefits of populations for the exploitation speed of standard steady-state genetic algorithms. Dogan Corus, Pietro S. Oliveto |
| 2019 | On the impact of domain-specific knowledge in evolutionary music composition. Csaba Sulyok, Christopher Harte, Zalán Bodó |
| 2019 | On the impact of the cutoff time on the performance of algorithm configurators. George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2019 | On the investigation of population sizing of genetic algorithms using optimal mixing. Yi-Yun Liao, Hung-Wei Hsu, Yi-Lin Juang, Tian-Li Yu |
| 2019 | On the role of non-effective code in linear genetic programming. Léo Françoso Dal Piccol Sotto, Franz Rothlauf |
| 2019 | On the selection of the optimal topology for particle swarm optimization: a study of the tree as the universal topology. Ángel Arturo Rojas-García, Arturo Hernández Aguirre, S. Ivvan Valdez |
| 2019 | Online selection of CMA-ES variants. Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr |
| 2019 | Optimising bus routes with fixed terminal nodes: comparing hyper-heuristics with NSGAII on realistic transportation networks. Leena N. Ahmed, Philipp Heyken-Soares, Christine L. Mumford, Yong Mao |
| 2019 | Optimising trotter-suzuki decompositions for quantum simulation using evolutionary strategies. Benjamin D. M. Jones, David Robert White, George O. O'Brien, John A. Clark, Earl T. Campbell |
| 2019 | Optimizing evolutionary CSG tree extraction. Markus Friedrich, Pierre-Alain Fayolle, Thomas Gabor, Claudia Linnhoff-Popien |
| 2019 | POET: open-ended coevolution of environments and their optimized solutions. Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley |
| 2019 | Parallelism and partitioning in large-scale GAs using spark. Laila AlTerkawi, Matteo Migliavacca |
| 2019 | Parametrizing convection selection: conclusions from the analysis of performance in the NKq model. Maciej Komosinski, Konrad Miazga |
| 2019 | Population-based ensemble classifier induction for domain adaptation. Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Peter Andreae |
| 2019 | Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization. Naama Horesh, Thomas Bäck, Ofer M. Shir |
| 2019 | Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, July 13-17, 2019 Anne Auger, Thomas Stützle |
| 2019 | Promoting semantic diversity in multi-objective genetic programming. Edgar Galván, Marc Schoenauer |
| 2019 | Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering. S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman |
| 2019 | Relative evolutionary hierarchical analysis for gene expression data classification. Marcin Czajkowski, Marek Kretowski |
| 2019 | Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms. René González Hernandez, Marley M. B. R. Vellasco, Karla Figueiredo |
| 2019 | Resource-based test case generation for RESTful web services. Man Zhang, Bogdan Marculescu, Andrea Arcuri |
| 2019 | Robust indicator-based algorithm for interactive evolutionary multiple objective optimization. Michal K. Tomczyk, Milosz Kadzinski |
| 2019 | Route planning for cooperative air-ground robots with fuel constraints: an approach based on CMSA. Divansh Arora, Parikshit Maini, Pedro Pinacho Davidson, Christian Blum |
| 2019 | Runtime analysis of randomized search heuristics for dynamic graph coloring. Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt |
| 2019 | Runtime analysis of the univariate marginal distribution algorithm under low selective pressure and prior noise. Per Kristian Lehre, Phan Trung Hai Nguyen |
| 2019 | SQL data generation to enhance search-based system testing. Andrea Arcuri, Juan P. Galeotti |
| 2019 | Scaling techniques for parallel ant colony optimization on large problem instances. Joshua Peake, Martyn Amos, Paraskevas Yiapanis, Huw Lloyd |
| 2019 | Scenario co-evolution for reinforcement learning on a grid world smart factory domain. Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Pichlmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner N. Schmid, Jan Wieghardt |
| 2019 | Selection mechanisms affect volatility in evolving markets. David Rushing Dewhurst, Michael Vincent Arnold, Colin Michael Van Oort |
| 2019 | Self-adjusting mutation rates with provably optimal success rules. Benjamin Doerr, Carola Doerr, Johannes Lengler |
| 2019 | Semantic variation operators for multidimensional genetic programming. William G. La Cava, Jason H. Moore |
| 2019 | Sentiment analysis with genetically evolved gaussian kernels. Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano |
| 2019 | Simultaneous meta-data and meta-classifier selection in multiple classifier system. Tien Thanh Nguyen, Anh Vu Luong, Thi Minh Van Nguyen, Trong Sy Ha, Alan Wee-Chung Liew, John McCall |
| 2019 | Single- and multi-objective game-benchmark for evolutionary algorithms. Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar |
| 2019 | Solving symbolic regression problems with formal constraints. Iwo Bladek, Krzysztof Krawiec |
| 2019 | Spatial evolutionary generative adversarial networks. Jamal Toutouh, Erik Hemberg, Una-May O'Reilly |
| 2019 | Stability analysis for safety of automotive multi-product lines: a search-based approach. Nian-Ze Lee, Paolo Arcaini, Shaukat Ali, Fuyuki Ishikawa |
| 2019 | Statistical learning in soil sampling design aided by pareto optimization. Assaf Israeli, Michael Emmerich, Michael Iggy Litaor, Ofer M. Shir |
| 2019 | Structured grammatical evolution for glucose prediction in diabetic patients. Nuno Lourenço, J. Manuel Colmenar, José Ignacio Hidalgo, Oscar Garnica |
| 2019 | Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben |
| 2019 | Surrogate-assisted multiobjective optimization based on decomposition: a comprehensive comparative analysis. Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka |
| 2019 | Surrogate-based optimization for reduction of contagion susceptibility in financial systems. Krzysztof Michalak |
| 2019 | Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis. Daniel Horn, Jörg Stork, Nils-Jannik Schüßler, Martin Zaefferer |
| 2019 | Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches. Dominik Sobania, Franz Rothlauf |
| 2019 | The efficiency threshold for the offspring population size of the ( Denis Antipov, Benjamin Doerr, Quentin Yang |
| 2019 | The massively parallel Swetha Varadarajan, L. Darrell Whitley |
| 2019 | Tile pattern KL-divergence for analysing and evolving game levels. Simon M. Lucas, Vanessa Volz |
| 2019 | Toward inverse generative social science using multi-objective genetic programming. Tuong Manh Vu, Charlotte Probst, Joshua M. Epstein, Alan Brennan, Mark Strong, Robin C. Purshouse |
| 2019 | Toward real-world vehicle placement optimization in round-trip carsharing. Boonyarit Changaival, Grégoire Danoy, Dzmitry Kliazovich, Frédéric Guinand, Matthias R. Brust, Jedrzej Musial, Kittichai Lavangnananda, Pascal Bouvry |
| 2019 | Towards better generalization in WLAN positioning systems with genetic algorithms and neural networks. Diogo M. F. Izidio, Antonyus P. do A. Ferreira, Edna Natividade da Silva Barros |
| 2019 | Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework. Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff |
| 2019 | Using a genetic algorithm with histogram-based feature selection in hyperspectral image classification. Neil S. Walton, John W. Sheppard, Joseph A. Shaw |
| 2019 | Using subpopulation EAs to map molecular structure landscapes. Ahmed Bin Zaman, Kenneth A. De Jong, Amarda Shehu |
| 2019 | Walsh functions as surrogate model for pseudo-boolean optimization problems. Florian Leprêtre, Sébastien Vérel, Cyril Fonlupt, Virginie Marion |
| 2019 | Well placement optimization under geological statistical uncertainty. Atsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto |
| 2019 | What's inside the black-box?: a genetic programming method for interpreting complex machine learning models. Benjamin P. Evans, Bing Xue, Mengjie Zhang |
| 2019 | When mating improves on-line collective robotics. Amine M. Boumaza |
| 2019 | When resampling to cope with noise, use median, not mean. Benjamin Doerr, Andrew M. Sutton |
| 2019 | Why train-and-select when you can use them all?: ensemble model for fault localisation. Jeongju Sohn, Shin Yoo |