GECCO '19- Proceedings of the Genetic and Evolutionary Computation Conference GECCO '19- Proceedings of the Genetic and Evolutionary Computation Conference Full Citation in the ACM Digital Library SESSION: Keynote talk Evolution, robotics and the somersaulting spider Ingo Rechenberg Genetic programming methods for reinforcement learning Robert Babuska Challenges for learning in complex environments Raia Hadsell SESSION: Ant colony optimization and swarm intelligence AMclr: an improved ant-miner to extract comprehensible and diverse classification rules Umair Ayub Asim Ikram Waseem Shahzad A stable hybrid method for feature subset selection using particle swarm optimization with local search Hassen Dhrif Luis G. S. Giraldo Miroslav Kubat Stefan Wuchty Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm Kyle Erwin Andries Engelbrecht A peek into the swarm: analysis of the gravitational search algorithm and recommendations for parameter selection Florian Knauf Ralf Bruns 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 Scaling techniques for parallel ant colony optimization on large problem instances Joshua Peake Martyn Amos Paraskevas Yiapanis Huw Lloyd 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 SESSION: Complex systems (artificial life/artificial immune systems/generative and developmental systems/evolutionary robotics/evolvable hardware) When mating improves on-line collective robotics Amine Boumaza Benchmarking open-endedness in minimal criterion coevolution Jonathan C. Brant Kenneth O. Stanley Autonomous skill discovery with quality-diversity and unsupervised descriptors Antoine Cully Selection mechanisms affect volatility in evolving markets David Rushing Dewhurst Michael Vincent Arnold Colin Michael Van Oort Novelty search: a theoretical perspective Stephane Doncieux Alban Laflaquière Alexandre Coninx Evolvability ES: scalable and direct optimization of evolvability Alexander Gajewski Jeff Clune Kenneth O. Stanley Joel Lehman Modeling user selection in quality diversity Alexander Hagg Alexander Asteroth Thomas Bäck Effects of environmental conditions on evolved robot morphologies and behavior Karine Miras A. E. Eiben Evolved embodied phase coordination enables robust quadruped robot locomotion Jørgen Nordmoen Tønnes F. Nygaard Kai Olav Ellefsen Kyrre Glette POET: open-ended coevolution of environments and their optimized solutions Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley Learning with delayed synaptic plasticity Anil Yaman Giovanni Iacca Decebal Constantin Mocanu George Fletcher Mykola Pechenizkiy SESSION: Digital entertainment technologies and arts Mapping hearthstone deck spaces through MAP-elites with sliding boundaries Matthew C. Fontaine Scott Lee L. B. Soros Fernando De Mesentier Silva Julian Togelius Amy K. Hoover Tile pattern KL-divergence for analysing and evolving game levels Simon M. Lucas Vanessa Volz Evolving dota 2 shadow fiend bots using genetic programming with external memory Robert J. Smith Malcolm I. Heywood On the impact of domain-specific knowledge in evolutionary music composition Csaba Sulyok Christopher Harte Zalán Bodó SESSION: Evolutionary combinatorial optimization and metaheuristics Algorithm selection using deep learning without feature extraction Mohamad Alissa Kevin Sim Emma Hart Route planning for cooperative air-ground robots with fuel constraints: an approach based on CMSA Divansh Arora Parikshit Maini Pedro Pinacho-Davidson Christian Blum On inversely proportional hypermutations with mutation potential Dogan Corus Pietro S. Oliveto Donya Yazdani Adaptive large neighborhood search for scheduling of mobile robots Quang-Vinh Dang Hana Rudová Cong Thanh Nguyen Fast re-optimization via structural diversity Benjamin Doerr Carola Doerr Frank Neumann When resampling to cope with noise, use median, not mean Benjamin Doerr Andrew M. Sutton A generic approach to districting with diameter or center-based objectives Alex Gliesch Marcus Ritt 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 Characterising the rankings produced by combinatorial optimisation problems and finding their intersections Leticia Hernando Alexander Mendiburu Jose A. Lozano Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization Naama Horesh Thomas Bäck Ofer M. Shir A characterisation of S-box fitness landscapes in cryptography Domagoj Jakobovic Stjepan Picek Marcella S. R. Martins Markus Wagner An improved merge search algorithm for the constrained pit problem in open-pit mining Angus Kenny Xiaodong Li Andreas T. Ernst Yuan Sun Walsh functions as surrogate model for pseudo-boolean optimization problems Florian Leprêtre Sébastien Verel Cyril Fonlupt Virginie Marion Fitness comparison by statistical testing in construction of SAT-based guess-and-determine cryptographic attacks Artem Pavlenko Maxim Buzdalov Vladimir Ulyantsev Application of CMSA to the minimum capacitated dominating set problem Pedro Pinacho-Davidson Salim Bouamama Christian Blum Investigation of the traveling thief problem Rogier Hans Wuijts Dirk Thierens Evolutionary algorithms for the chance-constrained knapsack problem Yue Xie Oscar Harper Hirad Assimi Aneta Neumann Frank Neumann A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling Fangfang Zhang Yi Mei Mengjie Zhang SESSION: Evolutionary machine learning Lexicase selection in learning classifier systems Sneha Aenugu Lee Spector An automated ensemble learning framework using genetic programming for image classification Ying Bi Bing Xue Mengjie Zhang COEGAN: evaluating the coevolution effect in generative adversarial networks Victor Costa Nuno Lourenço João Correia Penousal Machado Efficient personalized community detection via genetic evolution Zheng Gao Chun Guo Xiaozhong Liu Auto-CVE: a coevolutionary approach to evolve ensembles in automated machine learning Celio H. N. Larcher, Jr. Helio J. C. Barbosa Evolutionary neural AutoML for deep learning Jason Liang Elliot Meyerson Babak Hodjat Dan Fink Karl Mutch Risto Miikkulainen Absumption to complement subsumption in learning classifier systems Yi Liu Will N. Browne Bing Xue NSGA-Net: neural architecture search using multi-objective genetic algorithm Zhichao Lu Ian Whalen Vishnu Boddeti Yashesh Dhebar Kalyanmoy Deb Erik Goodman Wolfgang Banzhaf Improvement of code fragment fitness to guide feature construction in XCS Trung B. Nguyen Will N. Browne Mengjie Zhang Population-based ensemble classifier induction for domain adaptation Bach Hoai Nguyen Bing Xue Mengjie Zhang Peter Andreae Investigating recurrent neural network memory structures using neuro-evolution Alexander Ororbia AbdElRahman ElSaid Travis Desell Deep neuroevolution of recurrent and discrete world models Sebastian Risi Kenneth O. Stanley Evolving controllably difficult datasets for clustering Cameron Shand Richard Allmendinger Julia Handl Andrew Webb John Keane Spatial evolutionary generative adversarial networks Jamal Toutouh Erik Hemberg Una-May O'Reilly Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification Binh Tran Bing Xue Mengjie Zhang Evolving deep neural networks by multi-objective particle swarm optimization for image classification Bin Wang Yanan Sun Bing Xue Mengjie Zhang SESSION: Evolutionary multiobjective optimization A parameterless performance metric for reference-point based multi-objective evolutionary algorithms Sunith Bandaru Henrik Smedberg Surrogate-assisted multiobjective optimization based on decomposition: a comprehensive comparative analysis Nicolas Berveglieri Bilel Derbel Arnaud Liefooghe Hernán Aguirre Kiyoshi Tanaka On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem Jakob Bossek Christian Grimme Frank Neumann Convergence and diversity analysis of indicator-based multi-objective evolutionary algorithms Jesús Guillermo Falcón-Cardona Carlos A. Coello Coello Efficient real-time hypervolume estimation with monotonically reducing error Jonathan E. Fieldsend A feature rich distance-based many-objective visualisable test problem generator Jonathan E. Fieldsend Tinkle Chugh Richard Allmendinger Kaisa Miettinen Cooperative based hyper-heuristic for many-objective optimization Gian Fritsche Aurora Pozo Challenges of convex quadratic bi-objective benchmark problems Tobias Glasmachers Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering S. C. Maree T. Alderliesten P. A. N. Bosman A 'phylogeny-aware' multi-objective optimization approach for computing MSA Muhammad Ali Nayeem Md. Shamsuzzoha Bayzid Atif Hasan Rahman Rifat Shahriyar M. Sohel Rahman Constrained multiobjective distance minimization problems Yusuke Nojima Takafumi Fukase Yiping Liu Naoki Masuyama Hisao Ishibuchi An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization Annibale Panichella Multi-objective evolutionary algorithm for DNA codeword design Jeisson Prieto Jonatan Gomez Elizabeth Leon Non-elitist evolutionary multi-objective optimizers revisited Ryoji Tanabe Hisao Ishibuchi 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 Robust indicator-based algorithm for interactive evolutionary multiple objective optimization Michał K. Tomczyk Miłosz Kadziński Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework Cheikh Touré Nikolaus Hansen Anne Auger Dimo Brockhoff Single- and multi-objective game-benchmark for evolutionary algorithms Vanessa Volz Boris Naujoks Pascal Kerschke Tea Tušar 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 SESSION: Evolutionary numerical optimization A global surrogate assisted CMA-ES Nikolaus Hansen Analysis of a meta-ES on a conically constrained problem Michael Hellwig Hans-Georg Beyer Large-scale noise-resilient evolution-strategies Oswin Krause Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy Zbyněk Pitra Jakub Repický Martin Holeňa Adaptive ranking based constraint handling for explicitly constrained black-box optimization Naoki Sakamoto Youhei Akimoto Deep reinforcement learning based parameter control in differential evolution Mudita Sharma Alexandros Komninos Manuel López-Ibáñez Dimitar Kazakov Mixed-integer benchmark problems for single- and bi-objective optimization Tea Tušar Dimo Brockhoff Nikolaus Hansen A surrogate model assisted (1+1)-ES with increased exploitation of the model Jingyun Yang Dirk V. Arnold SESSION: Genetic algorithms Parallelism and partitioning in large-scale GAs using spark Laila Alterkawi Matteo Migliavacca A genetic algorithm hybridisation scheme for effective use of parallel workers Simon Bowly Convolutional neural network surrogate-assisted GOMEA Arkadiy Dushatskiy Adriënne M. Mendrik Tanja Alderliesten Peter A. N. Bosman 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 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 Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms René González Marley Vellasco Karla Figueiredo An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms Mario Alejandro Hevia Fajardo Intentional computational level design Ahmed Khalifa Michael Cerny Green Gabriella Barros Julian Togelius Parametrizing convection selection: conclusions from the analysis of performance in the NKq model Maciej Komosinski Konrad Miazga Evolutionary consequences of learning strategies in a dynamic rugged landscape Nam Le Michael O'Neill Anthony Brabazon On the investigation of population sizing of genetic algorithms using optimal mixing Yi-Yun Liao Hung-Wei Hsu Yi-Lin Juang Tian-Li Yu Multi-heap constraint handling in gray box evolutionary algorithms Thiago Macedo Gomes Alan Robert Resende de Freitas Rodolfo Ayala Lopes Evolutionary diversity optimization using multi-objective indicators Aneta Neumann Wanru Gao Markus Wagner Frank Neumann A lexicographic genetic algorithm for hierarchical classification rule induction Gean Trindade Pereira Paulo. H. R. Gabriel Ricardo Cerri Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates Anna Rodionova Kirill Antonov Arina Buzdalova Carola Doerr A combination of two simple decoding strategies for the no-wait job shop scheduling problem Víctor M. Valenzuela Carlos A. Brizuela MA Cosío-León A. Danisa Romero-Ocaño The massively parallel mixing genetic algorithm for the traveling salesman problem Swetha Varadarajan Darrell Whitley SESSION: General evolutionary computation and hybrids Adaptive objective selection for multi-fidelity optimization Youhei Akimoto Takuma Shimizu Takahiro Yamaguchi Hyper-parameter tuning for the (1 + (λ, λ)) GA Nguyen Dang Carola Doerr 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 SchmidSiemens AG Jan Wieghardt On the impact of the cutoff time on the performance of algorithm configurators George T. Hall Pietro S. Oliveto Dirk Sudholt Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis Daniel Horn Jörg Stork Nils-Jannik Schüßler Martin Zaefferer Meta-learning on flowshop using fitness landscape analysis Lucas Marcondes Pavelski Myriam Regattieri Delgado Marie-Éléonore Kessaci Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning Jörg Stork Martin Zaefferer Thomas Bartz-Beielstein A. E. Eiben Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms Hao Tong Jialin Liu Xin Yao Online selection of CMA-ES variants Diederick Vermetten Sander van Rijn Thomas Bäck Carola Doerr Using subpopulation EAs to map molecular structure landscapes Ahmed Bin Zaman Kenneth De Jong Amarda Shehu SESSION: Genetic programming Evolving graphs with horizontal gene transfer Timothy Atkinson Detlef Plump Susan Stepney Solving symbolic regression problems with formal constraints Iwo Błądek Krzysztof Krawiec Gin: genetic improvement research made easy Alexander E. I. Brownlee Justyna Petke Brad Alexander Earl T. Barr Markus Wagner David R. White Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament Vinícius V. de Melo Danilo Vasconcellos Vargas Wolfgang Banzhaf Evolving boolean functions with conjunctions and disjunctions via genetic programming Benjamin Doerr Andrei Lissovoi Pietro S. Oliveto What's inside the black-box?: a genetic programming method for interpreting complex machine learning models Benjamin P. Evans Bing Xue Mengjie Zhang Promoting semantic diversity in multi-objective genetic programming Edgar Galván Marc Schoenauer Lexicase selection of specialists Thomas Helmuth Edward Pantridge Lee Spector On domain knowledge and novelty to improve program synthesis performance with grammatical evolution Erik Hemberg Jonathan Kelly Una-May O'Reilly Comparing and combining lexicase selection and novelty search Lia Jundt Thomas Helmuth Semantic variation operators for multidimensional genetic programming William La Cava Jason H. Moore Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches Dominik Sobania Franz Rothlauf On the role of non-effective code in linear genetic programming Léo Françoso Dal Piccol Sotto Franz Rothlauf Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression Marco Virgolin Tanja Alderliesten Peter A. N. Bosman Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem Shaolin Wang Yi Mei Mengjie Zhang SESSION: Real world applications Optimising bus routes with fixed terminal nodes: comparing hyper-heuristics with NSGAII on realistic transportation networks Leena Ahmed Philipp Heyken-Soares Christine Mumford Yong Mao GenAttack: practical black-box attacks with gradient-free optimization Moustafa Alzantot Yash Sharma Supriyo Chakraborty Huan Zhang Cho-Jui Hsieh Mani B. Srivastava Evolving robust policies for community energy system management Rui P. Cardoso Emma Hart Jeremy V. Pitt Evolving stellar models to find the origins of our galaxy Conrad Chan Aldeida Aleti Alexander Heger Kate Smith-Miles 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 Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm Tinkle Chugh Tomas Kratky Kaisa Miettinen Yaochu Jin Pekka Makonen Relative evolutionary hierarchical analysis for gene expression data classification Marcin Czajkowski Marek Kretowski Differential evolution based spatial filter optimization for brain-computer interface Gabriel Henrique de Souza Heder Soares Bernardino Alex Borges Vieira Helio J. C. Barbosa EMOCS: evolutionary multi-objective optimisation for clinical scorecard generation Diane P. Fraser Edward Keedwell Stephen L. Michell Ray Sheridan Optimizing evolutionary CSG tree extraction Markus Friedrich Pierre-Alain Fayolle Thomas Gabor Claudia Linnhoff-Popien EVA: an evolutionary architecture for network virtualization Ekaterina Holdener Flavio Esposito Dmitri Chemodanov Statistical learning in soil sampling design aided by pareto optimization Assaf Israeli Michael Emmerich Michael (Iggy) Litaor Ofer M. Shir Towards better generalization in WLAN positioning systems with genetic algorithms and neural networks Diogo M. F. Izidio Antonyus P. do A. Ferreira Edna N. da S. Barros Augmented evolutionary intelligence: combining human and evolutionary design for water distribution network optimisation Matthew B. Johns Herman A. Mahmoud David J. Walker Nicholas D. F. Ross Edward C. Keedwell Dragan A. Savic Optimising trotter-suzuki decompositions for quantum simulation using evolutionary strategies Benjamin D. M. Jones David R. White George O. O'Brien John A. Clark Earl T. Campbell GA-guided task planning for multiple-HAPS in realistic time-varying operation environments Jane Jean Kiam Eva Besada-Portas Valerie Hehtke Axel Schulte Stability analysis for safety of automotive multi-product lines: a search-based approach Nian-Ze Lee Paolo Arcaini Shaukat Ali Fuyuki Ishikawa Structured grammatical evolution for glucose prediction in diabetic patients Nuno Lourenço J. Manuel Colmenar J. Ignacio Hidalgo Óscar Garnica Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks David Lynch Takfarinas Saber Stepan Kucera Holger Claussen Michael O'Neill Surrogate-based optimization for reduction of contagion susceptibility in financial systems Krzysztof Michalak Classification of EEG signals using genetic programming for feature construction Ícaro Marcelino Miranda Claus Aranha Marcelo Ladeira Well placement optimization under geological statistical uncertainty Atsuhiro Miyagi Youhei Akimoto Hajime Yamamoto 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 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 A hybrid metaheuristic approach to a real world employee scheduling problem Kenneth N. Reid Jingpeng Li Alexander Brownlee Mathias Kern Nadarajen Veerapen Jerry Swan Gilbert Owusu 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 Sentiment analysis with genetically evolved gaussian kernels I. Roman A. Mendiburu R. Santana J. A. Lozano A hybrid multi-objective evolutionary algorithm for economic-environmental generation scheduling Vasilios Tsalavoutis Constantinos Vrionis Athanasios Tolis An illumination algorithm approach to solving the micro-depot routing problem Neil Urquhart Silke Höhl Emma Hart 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 Using a genetic algorithm with histogram-based feature selection in hyperspectral image classification Neil S. Walton John W. Sheppard Joseph A. Shaw Functional generative design of mechanisms with recurrent neural networks and novelty search Cameron R. Wolfe Cem C. Tutum Risto Miikkulainen 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 SESSION: Search-based software engineering SQL data generation to enhance search-based system testing Andrea Arcuri Juan P. Galeotti Footprints of fitness functions in search-based software testing Carlos Oliveira Aldeida Aleti Yuan-Fang Li Mohamed Abdelrazek Why train-and-select when you can use them all?: ensemble model for fault localisation Jeongju Sohn Shin Yoo A hybrid evolutionary system for automatic software repair Yuan Yuan Wolfgang Banzhaf Resource-based test case generation for RESTful web services Man Zhang Bogdan Marculescu Andrea Arcuri Improving search-based software testing by constraint-based genetic operators Ziming Zhu Li Jiao SESSION: Theory Runtime analysis of randomized search heuristics for dynamic graph coloring Jakob Bossek Frank Neumann Pan Peng Dirk Sudholt On the benefits of populations for the exploitation speed of standard steady-state genetic algorithms Dogan Corus Pietro S. Oliveto The efficiency threshold for the offspring population size of the (µ, λ) EA Denis Antipov Benjamin Doerr Quentin Yang Multiplicative up-drift Benjamin Doerr Timo Kötzing Self-adjusting mutation rates with provably optimal success rules Benjamin Doerr Carola Doerr Johannes Lengler A tight runtime analysis for the cGA on jump functions: EDAs can cross fitness valleys at no extra cost Benjamin Doerr Runtime analysis of the univariate marginal distribution algorithm under low selective pressure and prior noise Per Kristian Lehre Phan Trung Hai Nguyen Improved runtime results for simple randomised search heuristics on linear functions with a uniform constraint Frank Neumann Mojgan Pourhassan Carsten Witt Lower bounds on the runtime of crossover-based algorithms via decoupling and family graphs Andrew M. Sutton Carsten Witt
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library