Abstract is missing.
- Online anomaly detection for drinking water quality using a multi-objective machine learning approachVictor Henrique Alves Ribeiro, Gilberto Reynoso-Meza. 1-2 [doi]
- Anomaly detection for drinking water quality via deep biLSTM ensembleXingguo Chen, Fan Feng, Jikai Wu, Wenyu Liu. 3-4 [doi]
- Automatic vs. manual feature engineering for anomaly detection of drinking-water qualityValerie Fehst, Huu Chuong La, Tri-Duc Nghiem, Ben E. Mayer, Paul Englert, Karl-Heinz Fiebig. 5-6 [doi]
- Employing multi-objective search to enhance reactive test generation and prioritization for testing industrial cyber-physical systemsAitor Arrieta, Shuai Wang, Urtzi Markiegi, Goiuria Sagardui, Leire Etxeberria. 7-8 [doi]
- Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based systemF. Chávez, Francisco Fernández de Vega, Javier Díaz, J. A. García, F. J. Rodriguez, Pedro A. Castillo. 9-10 [doi]
- Standard steady state genetic algorithms can hillclimb faster than evolutionary algorithms using standard bit mutationDogan Corus, Pietro Simone Oliveto. 11-12 [doi]
- Better runtime guarantees via stochastic domination (hot-off-the-press track at GECCO 2018)Benjamin Doerr. 13-14 [doi]
- Deep statistical comparison of meta-heuristic stochastic optimization algorithmsTome Eftimov, Peter Korosec, Barbara Korousic-Seljak. 15-16 [doi]
- Towards automation & augmentation of the design of schedulers for cellular communications networksMichael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill. 17-18 [doi]
- Detection of minimum biomarker features via bi-level optimization framework by nested hybrid differential evolutionKai-Cheng Hsu, Feng-Sheng Wang. 19-20 [doi]
- On botnet detection with genetic programming under streaming data, label budgets and class imbalanceSara Khanchi, Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood. 21-22 [doi]
- A multidimensional genetic programming approach for identifying epsistatic gene interactionsWilliam La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore. 23-24 [doi]
- ED-LS: a heuristic local search for the firefighter problemKrzysztof Michalak. 25-26 [doi]
- Parameter-less (meta)heuristics for vehicle routing problemsJakub Nalepa, Miroslaw Blocho. 27-28 [doi]
- Evolutionary computation: an investigation of parameter spaceMoshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore. 29-30 [doi]
- Summary of evolutionary computation for wind farm layout optimizationDennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo López Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Özcan, Sergio Iwan Valdez Pea, Brian Goldman, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc. 31-32 [doi]
- Optimization based adaptive tagged visual cryptographyPei-Ling Chiu, Kai-Hui Lee. 33-34 [doi]
- Parameter space analysis of genetic algorithm using support vector regressionHwi-Yeon Cho, Hye-Jin Kim, Yong-Hyuk Kim. 35-36 [doi]
- Evolving modular neural sequence architectures with genetic programmingDavid Dohan, David So, Quoc V. Le. 37-38 [doi]
- The human-based evolutionary computation system enabling us to follow the solution evolutionKousuke Fujimoto, Kei Ohnishi, Tomohiro Yoshikawa. 39-40 [doi]
- A surrogate-assisted selection scheme for genetic algorithms employing multi-layer neural networksMasaki Fujiwara, Masaharu Munetomo. 41-42 [doi]
- Investigation of kernel functions in EDA-GKRyoichi Hasegawa, Hisashi Handa. 43-44 [doi]
- A self-replication basis for designing complex agentsThommen George Karimpanal. 45-46 [doi]
- Syllabification by phone categorizationJacob Krantz, Maxwell Dulin, Paul De Palma, Mark VanDam. 47-48 [doi]
- Importance of finding a good basis in binary representationJunghwan Lee, Yong-Hyuk Kim. 49-50 [doi]
- On the hardness of parameter optimization of convolution neural networks using genetic algorithm and machine learningHyeon Chang Lee, Dong-Pil Yu, Yong-Hyuk Kim. 51-52 [doi]
- A geometric evolutionary search for melody compositionYong-Wook Nam, Yong-Hyuk Kim. 53-54 [doi]
- Evolutionary algorithm using surrogate assisted model for simultaneous design optimization benchmark problem of multiple car structuresHiro Ohtsuka, Misaki Kaidan, Tomohiro Harada, Ruck Thawonmas. 55-56 [doi]
- Accelerating genetic programming using pycudaKeiko Ono, Yoshiko Hanada. 57-58 [doi]
- EBIC: a next-generation evolutionary-based parallel biclustering methodPatryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore. 59-60 [doi]
- Configuring the parameters of artificial neural networks using neuroevoiution and automatic algorithm configurationEvgenia Papavasileiou, Bart Jansen. 61-62 [doi]
- Genetically-trained deep neural networksKrzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa. 63-64 [doi]
- Digital investigations on the evolution of prokaryote photosynthesis regulation: late-breaking abstractAnselmo C. Pontes, Charles Ofria. 65-66 [doi]
- GA and entropy objective function for solving sudoku puzzleKatya Rodríguez-Vázquez. 67-68 [doi]
- Distributed NSGA-II sharing extreme non-dominated solutionsYuji Sato, Mikiko Sato, Minami Miyakawa. 69-70 [doi]
- Infeasible solution repair and MOEA/D sharing weight vectors for solving multi-objective set packing problemsMariko Tanaka, Yuki Yamagishi, Hidetoshi Nagai, Hiroyuki Sato. 71-72 [doi]
- Hybrid swarm of particle swarm with firefly for complex function optimizationHeng Xiao, Toshiharu Hatanaka. 73-74 [doi]
- Forecasting soybean futures price using dynamic model averaging and particle swarm optimizationTao Xiong. 75-76 [doi]
- Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem sizeDong-Pil Yu, Yong-Hyuk Kim. 77-78 [doi]
- Deterministic and stochastic precipitation downscaling using multi-objective genetic programmingTanja Zerenner, Victor Venema, Petra Friederichs, Clemens Simmer. 79-80 [doi]
- Comparative study on discrete SI approaches to the graph coloring problemClaus Aranha, Jair Pereira Junior, Hitoshi Kanoh. 81-82 [doi]
- Comparative performance and scaling of the pareto improving particle swarm optimization algorithmStephyn G. W. Butcher, John W. Sheppard, Brian K. Haberman. 83-84 [doi]
- Particle swarm and population structureCarlos M. Fernandes, Agostinho C. Rosa, Nuno Fachada, Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós. 85-86 [doi]
- Multimodal optimization of traveling salesman problem: a niching ant colony systemXin-Chi Han, Hao-Wen Ke, Yue-jiao Gong, Ying Lin, Wei-Li Liu, Jun Zhang. 87-88 [doi]
- Inverted ant colony optimization for search and rescue in an unknown maze-like indoor environmentZainab Husain, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic. 89-90 [doi]
- An efficient ant colony system for coverage based test case prioritizationChengyu Lu, Jinghui Zhong. 91-92 [doi]
- Gaussian bare-bones cuckoo search algorithmHu Peng, Changshou Deng, Hui Wang 0002, Wenjun Wang 0001, Xinyu Zhou, Zhijian Wu. 93-94 [doi]
- Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changesRyo Takano, Hiroyuki Sato, Keiki Takadama. 95-96 [doi]
- Multiple swarm intelligence methods based on multiple population with sharing best solution for drastic environmental changeYuta Umenai, Fumito Uwano, Hiroyuki Sato, Keiki Takadama. 97-98 [doi]
- Scouting strategy for biasing fireworks algorithm search to promising directionsJun Yu, Ying Tan, Hideyuki Takagi. 99-100 [doi]
- Improving the accuracy of 2D-3D registration of femur bone for bone fracture reduction robot using particle swarm optimizationAsaduz Zaman, Seong-Young Ko. 101-102 [doi]
- A distributed dendritic cell algorithm for big dataZaineb Chelly Dagdia. 103-104 [doi]
- Ecological theory provides insights about evolutionary computationEmily Dolson, Charles Ofria. 105-106 [doi]
- Open-ended evolution with multi-containers QDStéphane Doncieux, Alexandre Coninx. 107-108 [doi]
- Meta-learning by the baldwin effectChrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu. 109-110 [doi]
- Evolutionary hexapod robot gait control using a new recurrent neural network learned through group-based hybrid metaheuristic algorithmChia-Feng Juang, Yu-Cheng Chang, I-Fang Chung. 111-112 [doi]
- Bend and flex: passive flexibility or active control in a quadruped animatJared M. Moore, Anthony J. Clark. 113-114 [doi]
- The dynamics of cooperation versus competitionOlaf Witkowski, Geoff Nitschke. 115-116 [doi]
- Policy transfer methods in RoboCup keep-awaySabre Didi, Geoff Nitschke. 117-118 [doi]
- Embodiment can combat catastrophic forgettingJoshua P. Powers, Sam Kriegman, Josh C. Bongard. 119-120 [doi]
- Why don't the modules dominate?Zhenyue Qin, Tom Gedeon, Robert I. McKay. 121-122 [doi]
- Toward learning neural network encodings for continuous optimization problemsEric O. Scott, Kenneth A. De Jong. 123-124 [doi]
- A proposal for distributed interactive differential evolution: in a case of creating sign sounds for multiple usersMakoto Fukumoto, Kota Nomura. 125-126 [doi]
- Collaborative interactive evolution in minecraftPablo González de Prado Salas, Sebastian Risi. 127-128 [doi]
- Hybrid fighting game AI using a genetic algorithm and Monte Carlo tree searchMan-Je Kim, Chang Wook Ahn. 129-130 [doi]
- Towards an experiment on perception of affective music generation using MetaComposeMarco Scirea, Peter W. Eklund, Julian Togelius, Sebastian Risi. 131-132 [doi]
- Silhouette-based three dimensional image registration using CMA-ES with joint scheme of partial restart and variable fixingTakuto Shigenobu, Takuya Ushinohama, Hiroshi Kawasaki, Satoshi Ono. 133-134 [doi]
- Relating training instances to automatic design of algorithms for bin packing via featuresAlexander E. I. Brownlee, John R. Woodward, Nadarajen Veerapen. 135-136 [doi]
- Distance-based exponential probability models on constrained combinatorial optimization problemsJosu Ceberio, Alexander Mendiburu, José Antonio Lozano. 137-138 [doi]
- A network design problem with location, inventory and routing decisionsOnur Kaya, Dogus Ozkok. 139-140 [doi]
- Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problemYi Mei, Mengjie Zhang. 141-142 [doi]
- A histogram estimation of distribution algorithm for resource schedulingLi-Tao Tan, Wei-neng Chen, Jun Zhang. 143-144 [doi]
- An energy-efficient single machine scheduling with release dates and sequence-dependent setup timesMehmet Fatih Tasgetiren, Ugur Eliiyi, Hande Öztop, Damla Kizilay, Quan-ke Pan. 145-146 [doi]
- EDA-based approach to comprehensive quality-aware automated semantic web service compositionChen Wang, Hui Ma 0001, Gang Chen. 147-148 [doi]
- Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop schedulingDaniel Yska, Yi Mei, Mengjie Zhang. 149-150 [doi]
- An efficient approximation to the barrier tree using the great deluge algorithmHansang Yun, Byung Ro Moon. 151-152 [doi]
- Local intensity in memetic algorithm: case study in CARPZhi-Wei Zeng, Xiao-Min Hu, Min Li, Yu Luo. 153-154 [doi]
- Reinforcement learning for evolutionary distance metric learning systems improvementBassel Ali, Wasin Kalintha, Koichi Moriyama, Masayuki Numao, Ken-ichi Fukui. 155-156 [doi]
- Accelerating the evolution of convolutional neural networks with node-level mutations and epigenetic weight initializationTravis Desell. 157-158 [doi]
- Neuroevolution under unimodal error landscapes: an exploration of the semantic learning machine algorithmJan-Benedikt Jagusch, Ivo Gonçalves, Mauro Castelli. 159-160 [doi]
- Clustering sensory inputs using NeuroEvolution of augmenting topologiesDavid Kadish. 161-162 [doi]
- Confidence-based ensemble modeling in medical data miningLukas Kammerer, Michael Affenzeller. 163-164 [doi]
- Building boosted classification tree ensemble with genetic programmingSaso Karakatic, Vili Podgorelec. 165-166 [doi]
- Multiobjective optimization based subspace clustering using evolvable genome structureDipanjyoti Paul, Sriparna Saha, Jimson Mathew. 167-168 [doi]
- Learning how to flock: deriving individual behaviour from collective behaviour with multi-agent reinforcement learning and natural evolution strategiesKoki Shimada, Peter Bentley. 169-170 [doi]
- A neuroevolution strategy using multi-agent incorporated hierarchical ensemble modelKuan-Wu Su, Min-Chieh Yu, Jenq-Shiou Leu. 171-172 [doi]
- A study of automatic clustering based on evolutionary many-objective optimizationShuwei Zhu, Lihong Xu, Leilei Cao. 173-174 [doi]
- Modeling dependencies between decision variables and objectives with copula modelsAbdelhakim Cheriet, Roberto Santana. 175-176 [doi]
- Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problemHiroaki Fukumoto, Akira Oyama. 177-178 [doi]
- Introducing a linkage identification considering non-monotonicity to multi-objective evolutionary optimization with decomposition for real-valued functionsKousuke Izumiya, Masaharu Munetomo. 179-180 [doi]
- Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexesFrancia Jiménez, Claudio Sanhueza, Regina Berretta, Pablo Moscato. 181-182 [doi]
- Proposal of benchmark problem based on real-world car structure design optimizationTakehisa Kohira, Hiromasa Kemmotsu, Akira Oyama, Tomoaki Tatsukawa. 183-184 [doi]
- An analysis of ϵ-lexicase selection for large-scale many-objective optimizationWilliam La Cava, Jason H. Moore. 185-186 [doi]
- Preference-based evolutionary algorithms for many-objective mission planning of agile earth observation satellitesLongmei Li, Hao Chen, Jing Wu, Jun Li, Ning Jing, Michael Emmerich. 187-188 [doi]
- Pareto dominance-based MOEAs on problems with difficult pareto set topologiesYuri Marca, Hernán E. Aguirre, Saúl Zapotecas Martínez, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Kiyoshi Tanaka. 189-190 [doi]
- Studying MOEAs dynamics and their performance using a three compartmental modelHugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. 191-192 [doi]
- Studying the effect of techniques to generate reference vectors in many-objective optimizationMiriam Pescador-Rojas, Carlos A. Coello Coello. 193-194 [doi]
- Trust-region based algorithms with low-budget for multi-objective optimizationProteek Chandan Roy, Julian Blank, Rayan Hussein, Kalyanmoy Deb. 195-196 [doi]
- Bilevel innovization: knowledge discovery in scheduling systems using evolutionary bilevel optimization and visual analyticsJulian Schulte, Niclas Feldkamp, Sören Bergmann, Volker Nissen. 197-198 [doi]
- Balancing exploration and exploitation in multiobjective evolutionary optimizationJianyong Sun, Hu Zhang 0002, Qingfu Zhang, Huanhuan Chen. 199-200 [doi]
- Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspectiveA. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Julian Blank. 201-202 [doi]
- An efficient nondominated sorting algorithmJunchen Wang, Changhe Li, Yiya Diao, Sanyou Zeng, Hui Wang 0002. 203-204 [doi]
- On asynchronous non-dominated sorting for steady-state multiobjective evolutionary algorithmsIlya Yakupov, Maxim Buzdalov. 205-206 [doi]
- Accelerating differential evolution using multiple exponential cauchy mutationTae Jong Choi, Chang Wook Ahn. 207-208 [doi]
- Investigating benchmark correlations when comparing algorithms with parameter tuningLee A. Christie, Alexander E. I. Brownlee, John R. Woodward. 209-210 [doi]
- Exploratory landscape analysis using algorithm based samplingYaodong He, Shiu Yin Yuen, Yang Lou. 211-212 [doi]
- Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimizationRuwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang. 213-214 [doi]
- Multipopulation evolution framework for multifactorial optimizationGenghui Li, Qingfu Zhang, Weifeng Gao. 215-216 [doi]
- Niching an archive-based gaussian estimation of distribution algorithm via adaptive clusteringYongsheng Liang, Zhigang Ren, Bei Pang, An Chen. 217-218 [doi]
- An adapting population size approach in the CMA-ES for multimodal functionsDuc Manh Nguyen. 219-220 [doi]
- Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate modelsBei Pang, Zhigang Ren, Yongsheng Liang, An Chen. 221-222 [doi]
- Extension of weighted empirical distribution and group-based adaptive differential evolution for joint chance constrained problemsKiyoharu Tagawa. 223-224 [doi]
- Multi-fidelity surrogate model approach to optimizationSander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck. 225-226 [doi]
- A note on the CMA-ES for functions with periodic variablesTakahiro Yamaguchi, Youhei Akimoto. 227-228 [doi]
- A study of similarity measure between tasks for multifactorial evolutionary algorithmLei Zhou, Liang Feng, Jinghui Zhong, Zexuan Zhu, Bingshui Da, Zhou Wu. 229-230 [doi]
- A comparative study on algorithms for influence maximization in social networksYu-Hsiang Chung, Tuan-Fang Fan, Churn-Jung Liau. 231-232 [doi]
- A modern, event-based architecture for distributed evolutionary algorithmsJosé Mario García Valdez, Juan Julián Merelo Guervós. 233-234 [doi]
- Using genetic algorithms based on neighbor list mechanism to reduce handover latency for IEEE 802.11 WLANLina Hao, Bryan Ng. 235-236 [doi]
- Genetic optimisation of BCI systems for identifying games related cognitive statesAndrei Iacob, Mihail Morosan, Francisco Sepulveda, Riccardo Poli. 237-238 [doi]
- Prediction of energy consumption in a NSGA-II-based evolutionary algorithmSalvador Moreno, Julio Ortega, Miguel Damas, Antonio F. Díaz, Jesús González 0001, Héctor Pomares. 239-240 [doi]
- The influence of fitness caching on modern evolutionary methods and fair computation load measurementMichal Witold Przewozniczek, Marcin M. Komarnicki. 241-242 [doi]
- NetSynth: a framework for synthesizing customized network protocols using genetic programmingMohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas. 243-244 [doi]
- Heterogeneous island model with re-planning of methodsStepán Balcar, Martin Pilát. 245-246 [doi]
- An evolutionary algorithm with a new operator and an adaptive strategy for large-scale portfolio problemsYi Chen, Aimin Zhou, Liang Dou. 247-248 [doi]
- Voronoi-based archive sampling for robust optimisationKevin Anthony James Doherty, Khulood AlYahya, Jonathan E. Fieldsend, Ozgur E. Akman. 249-250 [doi]
- A hybrid differential evolution and estimation of distribution algorithm for the multi-point dynamic aggregation problemRong Hao, Jia Zhang, Bin Xin, Chen Chen, LiHua Dou. 251-252 [doi]
- Crowding distance based promising solution selection in surrogate assisted asynchronous multi-objective evolutionary algorithmTomohiro Harada, Misaki Kaidan, Ruck Thawonmas. 253-254 [doi]
- Towards management of complex modeling through a hybrid evolutionary identificationSergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina. 255-256 [doi]
- Ranking empirical cumulative distribution functions using stochastic and pareto dominanceHao Wang 0025, Thomas Bäck. 257-258 [doi]
- Preselection via one-class classification for evolutionary optimizationJinyuan Zhang, Aimin Zhou, Guixu Zhang. 259 [doi]
- Differential evolution with multi-information guidanceXinyu Zhou, Yunan Liu, Mingwen Wang, Jianyi Wan, Hui Wang 0002, Wenjun Wang, Hu Peng. 260-261 [doi]
- Evolving PSO algorithm design in vector fields using geometric semantic GPPalina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi. 262-263 [doi]
- Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithmsAmir Dehsarvi, Stephen L. Smith. 264-265 [doi]
- Multi-population genetic programming with adaptively weighted building blocks for symbolic regressionZhixing Huang, Jinghui Zhong, Weili Liu, Zhou Wu. 266-267 [doi]
- Generating term weighting schemes through genetic programmingAhmad Mazyad, Fabien Teytaud, Cyril Fonlupt. 268-269 [doi]
- Exploring the application of GOMEA to bit-string GEEric Medvet, Alberto Bartoli, Andrea De Lorenzo. 270-271 [doi]
- On the effect of function set to the generalisation of symbolic regression modelsMiguel Nicolau, Alexandros Agapitos. 272-273 [doi]
- Analyzing effects of various trust in product recalls using a social simulation with a co-evolution modelTetsuroh Watanabe, Taro Kanno, Kazuo Furuta. 274-275 [doi]
- Performance assessment of a modified multi-objective cuckoo's search algorithm for microgrid planning considering uncertaintiesAndrés F. Acosta, Sergio F. Contreras, Camilo A. Cortés. 276-277 [doi]
- A sentiment analysis-based machine learning approach for financial market prediction via news disclosuresRaymond Chiong, Zongwen Fan, ZhongYi Hu, Marc T. P. Adam, Bernhard Lutz, Dirk Neumann 0001. 278-279 [doi]
- Autonomous deployment of mobile sensors network in an unknown indoor environment with obstaclesKhouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic. 280-281 [doi]
- An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithmsChing-Chi Hsu, Chian-Her Lee, Sung-Ming Hsu. 282-283 [doi]
- Evolving imaging model for super-resolution reconstructionMichal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny. 284-285 [doi]
- Discovering pareto-optimal process models: a comparison of MOEA techniquesSonia, Manoj Agarwal, Shikha Gupta, Naveen Kumar 0001. 286-287 [doi]
- SIALAC benchmark: on the design of adaptive algorithms for traffic lights problemsFlorian Leprêtre, Cyril Fonlupt, Sébastien Vérel, Virginie Marion. 288-289 [doi]
- Genetic algorithm based sleep scheduling for maximizing lifetime of wireless sensor networksZhipeng Luo, Jingjing Li. 290-291 [doi]
- Improving greenhouse environmental control using crop-model-driven multi-objective optimizationJosé R. Llera, Erik D. Goodman, Erik S. Runkle, Lihong Xu. 292-293 [doi]
- Evolutionary design of large approximate adders optimized for various error criteriaVojtech Mrazek, Zdenek Vasícek. 294-295 [doi]
- Evolutionary multi-objective air-conditioning schedule optimization for office buildingsYoshihiro Ohta, Hiroyuki Sato. 296-297 [doi]
- Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problemsCourtney Powell, Katsunori Miura, Masaharu Munetomo. 298-299 [doi]
- Competitive coevolutionary algorithm decision supportDaniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly. 300-301 [doi]
- Using ensemble modeling to determine causes of multifactorial disordersIan Rogers, Ranjan Srivastava. 302 [doi]
- Total optimization of smart city by global-best brain storm optimizationMayuko Sato, Yoshikazu Fukuyama. 304-305 [doi]
- Massively parallelized co-evaluation for many-objective space trajectory optimizationMartin Schlueter, Masaharu Munetomo. 306-307 [doi]
- Natural evolution tells us how to best make goods delivery: use vansDaniel H. Stolfi, Christian Cintrano, Francisco Chicano, Enrique Alba. 308-309 [doi]
- Estimating parameters for a dynamical dengue model using genetic algorithmsJoshua Uyheng, John Clifford Rosales, Kennedy E. Espina, Maria Regina Justina E. Estuar. 310-311 [doi]
- A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing rangeZihui Wu, Ying Lin, Yue-jiao Gong, Zhengjia Dai, Jun Zhang. 312-313 [doi]
- Identification of potential classes in procedural code using a genetic algorithmFarshad Ghassemi Toosi, Asanka Wasala, Goetz Botterweck, Jim Buckley. 314-315 [doi]
- Search-based mutation testing to improve performance testsAna B. Sánchez, Pedro Delgado-Pérez, Inmaculada Medina-Bulo, Sergio Segura. 316-317 [doi]
- Solving team making problem for crowdsourcing with hybrid metaheuristic algorithmHan Wang, Zhilei Ren, Xiaochen Li, Xin Chen, He Jiang. 318-319 [doi]
- A dynamic fitness function for search based software testingXiong Xu, Li Jiao, Ziming Zhu. 320-321 [doi]
- Better fixed-arity unbiased black-box algorithmsNina Bulanova, Maxim Buzdalov. 322-323 [doi]
- Bayesian inference for algorithm ranking analysisBorja Calvo, Josu Ceberio, Jose A. Lozano. 324-325 [doi]
- l-uncutPallavi Jain, Lawqueen Kanesh, Jayakrishnan Madathil, Saket Saurabh 0001. 326-327 [doi]
- Search-based test optimization for software systemsShaukat Ali. 328-348 [doi]
- GECCO 2018 tutorial on evolutionary multiobjective optimizationDimo Brockhoff. 349-372 [doi]
- Evolutionary computation: a unified approachKenneth De Jong. 373-388 [doi]
- Theory for non-theoreticians: tutorialBenjamin Doerr. 389-414 [doi]
- Shift your research & laboratory into higher gear with 3 shift skills & 4 smooth rulesDave Goldberg. 415-420 [doi]
- Neuroevolution for deep reinforcement learning problemsDavid Ha. 421-431 [doi]
- A practical guide to experimentationNikolaus Hansen. 432-447 [doi]
- Runtime analysis of evolutionary algorithms: basic introductionPer Kristian Lehre, Pietro Simone Oliveto. 448-468 [doi]
- Evolution of neural networksRisto Miikkulainen. 469-488 [doi]
- Genetic programming: a tutorial introductionUna-May OReilly. 489-503 [doi]
- Search-maps: visualising and exploiting the global structure of computational search spacesGabriela Ochoa, Nadarajen Veerapen. 504-517 [doi]
- Representations for evolutionary algorithmsFranz Rothlauf. 518-538 [doi]
- Introductory mathematical programming for ECOfer M. Shir. 539-552 [doi]
- Model-based evolutionary algorithms: GECCO 2018 tutorialDirk Thierens, Peter A. N. Bosman. 553-583 [doi]
- Evolutionary computation and games tutorialJulian Togelius, Sebastian Risi, Georgios N. Yannakakis. 584-618 [doi]
- Introducing learning classifier systems: rules that capture complexityRyan J. Urbanowicz, Danilo Vasconcellos Vargas. 619-648 [doi]
- Introductory statistics for EC: a visual approachMark Wineberg. 649-684 [doi]
- Hyper-heuristics tutorialDaniel R. Tauritz, John R. Woodward. 685-719 [doi]
- CMA-ES and advanced adaptation mechanismsYouhei Akimoto, Nikolaus Hansen. 720-744 [doi]
- Simulation optimisation: tutorialJürgen Branke. 745-772 [doi]
- Constraint-handling techniques used with evolutionary algorithmsCarlos A. Coello Coello. 773-799 [doi]
- Dynamic parameter choices in evolutionary computationCarola Doerr. 800-830 [doi]
- Particle swarm optimization: a guide to effective, misconception free, real world useAndries P. Engelbrecht, Christopher Wesley Cleghorn. 831-857 [doi]
- Visualization in multiobjective optimizationBogdan Filipic, Tea Tusar. 858-879 [doi]
- Solving complex problems with coevolutionary algorithmsKrzysztof Krawiec, Malcolm I. Heywood. 880-906 [doi]
- Decomposition multi-objective optimisation: current developments and future opportunitiesKe Li 0001, Qingfu Zhang. 907-936 [doi]
- Evolutionary computation for digital artAneta Neumann, Frank Neumann. 937-955 [doi]
- Sequential experimentation by evolutionary algorithmsOfer M. Shir, Thomas Bäck. 956-976 [doi]
- Expressive genetic programming: concepts and applicationsLee Spector, Nicholas Freitag McPhee. 977-997 [doi]
- Promoting diversity in evolutionary optimization: why and howGiovanni Squillero, Alberto Paolo Tonda. 998-1016 [doi]
- Evolutionary reinforcement learning: general models and adaptationDanilo Vasconcellos Vargas. 1017-1038 [doi]
- Next generation genetic algorithmsDarrell Whitley, Francisco Chicano, Gabriela Ochoa, Andrew M. Sutton, Renato Tinós. 1039-1059 [doi]
- Evolutionary robotics tutorialNicolas Bredèche, Stéphane Doncieux, Jean-Baptiste Mouret. 1060-1092 [doi]
- Automated offline design of algorithmsManuel López-Ibáñez 0001, Thomas Stützle. 1093-1120 [doi]
- Bio-inspired approaches to anomaly and intrusion detectionLuis Martí, Marc Schoenauer. 1121-1137 [doi]
- Cloudy distributed evolutionary computationJuan Julián Merelo Guervós. 1138-1140 [doi]
- Medical applications of evolutionary computationStephen L. Smith. 1141-1169 [doi]
- Theory of estimation-of-distribution algorithmsCarsten Witt. 1170-1197 [doi]
- Evolutionary computation for feature selection and feature constructionBing Xue, Mengjie Zhang. 1198-1220 [doi]
- Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognitionMengjie Zhang, Stefano Cagnoni. 1221-1257 [doi]
- Evaluating surrogate models for multi-objective influence maximization in social networksDoina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda. 1258-1265 [doi]
- Asynchronous surrogate-assisted optimization networksJohannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner 0002, Michael Affenzeller. 1266-1267 [doi]
- Generating interpretable fuzzy controllers using particle swarm optimization and genetic programmingDaniel Hein, Steffen Udluft, Thomas A. Runkler. 1268-1275 [doi]
- An actor model implementation of distributed factored evolutionary algorithmsStephyn G. W. Butcher, John W. Sheppard. 1276-1283 [doi]
- A parallel island model for biogeography-based classification rule mining in juliaSamuel Ebert, Effat Farhana, Steffen Heber. 1284-1291 [doi]
- Effective processor load balancing using multi-objective parallel extremal optimizationIvanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj. 1292-1299 [doi]
- Vectorized candidate set selection for parallel ant colony optimizationJoshua Peake, Martyn Amos, Paraskevas Yiapanis, Huw Lloyd. 1300-1306 [doi]
- The flouted naming game: contentions and conventions in cultureHarold P. de Vladar. 1307-1312 [doi]
- Meta-learning by the Baldwin effectChrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu. 1313-1320 [doi]
- Maze benchmark for testing evolutionary algorithmsCamilo Alaguna, Jonatan Gómez. 1321-1328 [doi]
- The impact of statistics for benchmarking in evolutionary computation researchTome Eftimov, Peter Korosec. 1329-1336 [doi]
- Evolving benchmark functions using kruskal-wallis testYang Lou, Shiu Yin Yuen, Guanrong Chen. 1337-1341 [doi]
- Analysing symbolic regression benchmarks under a meta-learning approachLuiz Otávio Vilas Boas Oliveira, Joao Francisco B. S. Martins, Luis Fernando Miranda, Gisele L. Pappa. 1342-1349 [doi]
- Performance assessment of multi-objective evolutionary algorithms with the R package ecrJakob Bossek. 1350-1356 [doi]
- Review: a web-based simulation viewer for sharing evolutionary robotics resultsAnthony J. Clark, Jared M. Moore. 1357-1362 [doi]
- A generic distributed microservices and container based framework for metaheuristic optimizationHatem Khalloof, Wilfried Jakob, Jianlei Liu, Eric Braun, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer. 1363-1370 [doi]
- Performance improvements of evolutionary algorithms in perl 6Juan Julián Merelo Guervós, José Mario García Valdez. 1371-1378 [doi]
- Plushi: an embeddable, language agnostic, push interpreterEdward R. Pantridge, Lee Spector. 1379-1385 [doi]
- Evo-ROS: integrating evolution and the robot operating systemGlen A. Simon, Jared M. Moore, Anthony J. Clark, Philip K. McKinley. 1386-1393 [doi]
- Modulated clustering using integrated rough sets and scatter search attribute reductionAbdel-Rahman Hedar, Abdel-Monem M. Ibrahim, Alaa E. Abdel-Hakim, Adel A. Sewisy. 1394-1401 [doi]
- Optimizing clustering to promote data diversity when generating an ensemble classifierZohaib M. Jan, Brijesh Verma, Sam Fletcher. 1402-1409 [doi]
- Integrating anticipatory classifier systems with OpenAI gymNorbert Kozlowski, Olgierd Unold. 1410-1417 [doi]
- XCSR based on compressed input by deep neural network for high dimensional dataKazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama. 1418-1425 [doi]
- Model parameter adaptive instance-based policy optimization for episodic control tasks of nonholonomic systemsKyotaro Ohashi, Natsuki Fujiyoshi, Naoki Sakamoto, Youhei Akimoto. 1426-1433 [doi]
- An algebraic description of XCSDavid Pätzel, Jörg Hähner. 1434-1441 [doi]
- Applying accuracy-based LCS to detecting anomalous database accessSuin Seo, Sung-Bae Cho. 1442-1448 [doi]
- EvoNN: a customizable evolutionary neural network with heterogenous activation functionsBoris Shabash, Kay C. Wiese. 1449-1456 [doi]
- XCS-CR: determining accuracy of classifier by its collective reward in action set toward environment with action noiseTakato Tatsumi, Tim Kovacs, Keiki Takadama. 1457-1464 [doi]
- Generalizing rules by random forest-based learning classifier systems for high-dimensional data miningFumito Uwano, Koji Dobashi, Keiki Takadama, Tim Kovacs. 1465-1472 [doi]
- Progressive gradient walk for neural network fitness landscape analysisAnna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig. 1473-1480 [doi]
- Computationally efficient local optima network constructionJonathan E. Fieldsend. 1481-1488 [doi]
- Filter versus wrapper feature selection based on problem landscape featuresWerner Mostert, Katherine Malan, Andries P. Engelbrecht. 1489-1496 [doi]
- Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environmentsMartin Andraud, Ahmed Hallawa, Jaro De Roose, Eugenio Cantatore, Gerd Ascheid, Marian Verhelst. 1497-1504 [doi]
- A distributed epigenetic shape formation and regeneration algorithm for a swarm of robotsRahul Shivnarayan Mishra, Tushar Semwal, Shivashankar B. Nair. 1505-1512 [doi]
- Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suiteAurore Blelly, Matheus Felipe-Gomes, Anne Auger, Dimo Brockhoff. 1513-1517 [doi]
- Benchmarking a variant of the CMAES-APOP on the BBOB noiseless testbedDuc Manh Nguyen. 1521-1528 [doi]
- Benchmarking the PSA-CMA-ES on the BBOB noiseless testbedKouhei Nishida, Youhei Akimoto. 1529-1536 [doi]
- Comparing black-box differential evolution and classic differential evolutionAljosa Vodopija, Tea Tusar, Bogdan Filipic. 1537-1544 [doi]
- The automated design of probabilistic selection methods for evolutionary algorithmsSamuel N. Richter, Daniel R. Tauritz. 1545-1552 [doi]
- Visualizing the tape of life: exploring evolutionary history with virtual realityEmily Dolson, Charles Ofria. 1553-1559 [doi]
- Visualising the search process for multi-objective optimisationMardé Helbig. 1560-1561 [doi]
- VINE: an open source interactive data visualization tool for neuroevolutionRui Wang, Jeff Clune, Kenneth O. Stanley. 1562-1564 [doi]
- Design of HIFU treatment plans using an evolutionary strategyMarta Cudova, Bradley E. Treeby, Jirí Jaros. 1568-1575 [doi]
- Coevolving behavior and morphology of simple agents that model small-scale robotsMilen Georgiev, Ivan Tanev, Katsunori Shimohara. 1576-1583 [doi]
- Solution exploration using multi-objective genetic algorithm for determining experiment candidateLorenzo Perino, Akihiro Fujii, Tsuyoshi Waku, Akira Kobayashi, Satoru Hiwa, Tomoyuki Hiroyasu. 1584-1589 [doi]
- Dynamic fitness functions for genetic improvement in compilers and interpretersOliver Krauss, Hanspeter Mössenböck, Michael Affenzeller. 1590-1597 [doi]
- Novelty search for software improvement of a SLAM systemVíctor R. López-López, Leonardo Trujillo, Pierrick Legrand. 1598-1605 [doi]
- Assessing single-objective performance convergence and time complexity for refactoring detectionDavid Nader-Palacio, Daniel Rodríguez-Cárdenas, Jonatan Gómez. 1606-1613 [doi]
- Towards modular large-scale darwinian software improvementMichael Orlov. 1614-1615 [doi]
- Synthesizing customized network protocols using genetic programmingMohammad Roohitavaf, Ling Zhu, Sandeep S. Kulkarni, Subir Biswas. 1616-1623 [doi]
- Genetic configuration sampling: learning a sampling strategy for fault detection of configurable systemsJifeng Xuan, Yongfeng Gu, Zhilei Ren, Xiangyang Jia, Qingna Fan. 1624-1631 [doi]
- A genetic algorithm for dynamic controller placement in software defined networkingSamuel Champagne, Tokunbo Makanju, Chengchao Yao, A. Nur Zincir-Heywood, Malcolm I. Heywood. 1632-1639 [doi]
- Evolution of network enumeration strategies in emulated computer networksSean Harris, Eric Michalak, Kevin Schoonover, Adam Gausmann, Hannah Reinbolt, Joshua Herman, Daniel R. Tauritz, Chris Rawlings, Aaron Scott Pope. 1640-1647 [doi]
- Adversarial co-evolution of attack and defense in a segmented computer network environmentErik Hemberg, Joseph R. Zipkin, Richard W. Skowyra, Neal Wagner, Una-May O'Reilly. 1648-1655 [doi]
- Real-time strategy game micro for tactical training simulationsSushil J. Louis, Tianyi Jiang, Siming Liu. 1656-1663 [doi]
- Machine learning: based detection of water contamination in water distribution systemsHadi Mohammed, Ibrahim A. Hameed, Razak Seidu. 1664-1671 [doi]
- Using evolutionary dynamic optimization for monitor selection in highly dynamic communication infrastructuresRobin Mueller-Bady, Martin Kappes, Inmaculada Medina-Bulo, Francisco Palomo-Lozano. 1672-1679 [doi]
- Automated design of network security metricsAaron Scott Pope, Robert Morning, Daniel R. Tauritz, Alexander D. Kent. 1680-1687 [doi]
- Genetic algorithms for role mining in critical infrastructure data spacesIgor Saenko, Igor V. Kotenko. 1688-1695 [doi]
- Well placement optimization for carbon dioxide capture and storage via CMA-ES with mixed integer supportAtsuhiro Miyagi, Youhei Akimoto, Hajime Yamamoto. 1696-1703 [doi]
- On vehicle surrogate learning with genetic programming ensemblesVictor Parque, Tomoyuki Miyashita. 1704-1710 [doi]
- A historical interdependency based differential grouping algorithm for large scale global optimizationAn Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang. 1711-1715 [doi]
- A cooperative co-evolutionary algorithm for large-scale multi-objective optimization problemsMinghan Li, Jingxuan Wei. 1716-1721 [doi]
- Selfish vs. global behavior promotion in car controller evolutionJacopo Talamini, Giovanni Scaini, Eric Medvet, Alberto Bartoli. 1722-1727 [doi]
- Decomposition-based multiobjective particle swarm optimization for change detection in SAR imagesTao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi. 1729-1736 [doi]
- Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solversPascal Kerschke, Jakob Bossek, Heike Trautmann. 1737-1744 [doi]
- Discrete real-world problems in a black-box optimization benchmarkSebastian Raggl, Andreas Beham, Viktoria A. Hauder, Stefan Wagner 0002, Michael Affenzeller. 1745-1752 [doi]
- Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paperOfer M. Shir, Carola Doerr, Thomas Bäck. 1753-1760 [doi]
- A generic problem instance generator for discrete optimization problemsMarkus Ullrich, Thomas Weise 0001, Abhishek Awasthi, Jörg Lässig. 1761-1768 [doi]
- w-model benchmark problem for simulating themThomas Weise 0001, Zijun Wu. 1769-1776 [doi]
- A black-box discrete optimization benchmarking (BB-DOB) pipeline survey: taxonomy, evaluation, and rankingAles Zamuda, Miguel Nicolau, Christine Zarges. 1777-1782 [doi]
- Robust multi-modal optimisationKhulood AlYahya, Kevin Anthony James Doherty, Ozgur E. Akman, Jonathan E. Fieldsend. 1783-1790 [doi]
- A framework for high-dimensional robust evolutionary multi-objective optimizationWei Du, Le Tong, Yang Tang. 1791-1796 [doi]
- Exploration of the effect of uncertainty in homogeneous and heterogeneous multi-agent societies with regard to their average characteristicsMilen Georgiev, Ivan Tanev, Katsunori Shimohara. 1797-1804 [doi]
- Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirsJosé Luis Guerrero, Luis Martí, Nayat Sánchez Pi, Antonio Berlanga, José Manuel Molina. 1805-1812 [doi]
- Towards bundling minimal trees in polygonal mapsVictor Parque, Tomoyuki Miyashita. 1813-1820 [doi]
- Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approachesCristiane S. Pereira, Douglas M. Dias, Marley M. B. R. Vellasco, Francisco Henrique F. Viana, Luis Martí. 1821-1828 [doi]
- Framework for planning the training sessions in triathlonIztok Fister 0001, Janez Brest, Andrés Iglesias, Iztok Fister Jr.. 1829-1834 [doi]
- Development of an evaluation system for upper limb function using AR technologyYunan He, Ikushi Sawada, Osamu Fukuda, Ryusei Shima, Nobuhiko Yamaguchi, Hiroshi Okumura. 1835-1840 [doi]
- CATARO: a robot that tells caregivers a patient's current non-critical condition indirectlyPatrick Hock, Chika Oshima, Koichi Nakayama. 1841-1844 [doi]
- Sustainable sensor network architecture for monitoring human activitiesRen Ohmura. 1845-1848 [doi]
- Can evolutionary computing be applied to dementia care?Taro Sugihara. 1849-1851 [doi]
- Envy based fairness in hedonic gamesSuguru Ueda. 1852-1853 [doi]
- Classifier generalization for comprehensive classifiers subsumption in XCSCaili Zhang, Takato Tatsumi, Hiyoyuki Sato, Tim Kovacs, Keiki Takadama. 1854-1861 [doi]
- Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clustersJuan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González 0001, Miguel Damas. 1862-1869 [doi]
- Mapping evolutionary algorithms to a reactive, stateless architecture: using a modern concurrent languageJuan Julián Merelo Guervós, José Mario García Valdez. 1870-1877 [doi]
- A comparison of semantic-based initialization methods for genetic programmingHammad Ahmad, Thomas Helmuth. 1878-1881 [doi]
- A multi-objective optimization design framework for ensemble generationVictor Henrique Alves Ribeiro, Gilberto Reynoso-Meza. 1882-1885 [doi]
- Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learningDenis Antipov, Arina Buzdalova, Andrew Stankevich. 1886-1889 [doi]
- Towards a more general many-objective evolutionary optimizer using multi-indicator density estimationJesús Guillermo Falcón-Cardona, Carlos A. Coello Coello. 1890-1893 [doi]
- Analysis of evolutionary multi-tasking as an island modelRyuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima. 1894-1897 [doi]
- Incorporation of a decision space diversity maintenance mechanism into MOEA/D for multi-modal multi-objective optimizationChenxu Hu, Hisao Ishibuchi. 1898-1901 [doi]
- From fitness landscape analysis to designing evolutionary algorithms: the case study in automatic generation of function block applicationsVladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin. 1902-1905 [doi]
- Weight vector grid with new archive update mechanism for multi-objective optimizationXizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang. 1906-1909 [doi]
- Improved efficiency of MOPSO with adaptive inertia weight and dynamic search spaceLee-Ping Pang, Sin Chun Ng. 1910-1913 [doi]
- Specialization and elitism in lexicase and tournament selectionEdward R. Pantridge, Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector. 1914-1917 [doi]
- Diploidy for evolving neural networksCara Reedy. 1918-1921 [doi]
- Embedded feature selection using probabilistic model-based optimizationShota Saito, Shinichi Shirakawa, Youhei Akimoto. 1922-1925 [doi]
- Using a one-class compound classifier to detect in-vehicle network attacksAndrew Tomlinson, Jeremy Bryans, Siraj Ahmed Shaikh. 1926-1929 [doi]