GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion Full Citation in the ACM Digital Library SESSION: Competition: Evolutionary computation in the energy domain: Smart grid applications Ring cellular encode-decode UMDA: simple is effective Ansel Y. Rodríguez-González Samantha Barajas Ramón Aranda Yoan Martínez-López Julio Madera-Quintana Cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids Junpeng Su Han Huang Zhifeng Hao SESSION: Competition: Optimal camera placement problem (OCP) and the unicost set covering problem (USCP) Exact and approximate USCP with branch and bound Janez Radešček Matjaž Depolli SESSION: Competition: Open optimization competition 2021: Competition and benchmarking of sampling-based optimization algorithms Benchmarking gradient-free optimizers for 3D performance capture in the nevergrad platform Alexandros Doumanoglou Nikolaos Zioulis Vladimiros Sterzentsenko Antonis Karakottas Dimitrios Zarpalas Petros Daras Robust benchmarking for multi-objective optimization Tome Eftimov Peter Korošec SESSION: Competition: Bound constrained single objective numerical optimization SOMA-CLP for competition on bound constrained single objective numerical optimization benchmark: a competition entry on bound constrained single objective numerical optimization at the genetic and evolutionary computation conference (GECCO) 2021 Tomas Kadavy Michal Pluhacek Adam Viktorin Roman Senkerik SESSION: Competition: Optimization of a simulation model for a capacity and resource planning task for hospitals under special consideration of the COVID-19 pandemic Hospital simulation model optimisation with a random ReLU expansion surrogate model Laurens Bliek Arthur Guijt Rickard Karlsson Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers Pablo S. Naharro Antonio LaTorre José-María Peña An evolutionary and neighborhood-based algorithm for optimization under low budget requirements Jordi Pereira Linear regression strategy for differential evolution José L. Sainz-Pardo SESSION: Hot off the press Do quality indicators prefer particular multi-objective search algorithms in search-based software engineering?: (hot off the press track at GECCO 2021) Shaukat Ali Paolo Arcaini Tao Yue Runtime analysis via symmetry arguments: (hot-off-the-press track at GECCO 2021) Benjamin Doerr Theoretical analyses of multi-objective evolutionary algorithms on multi-modal objectives: (hot-off-the-press track at GECCO 2021) Benjamin Doerr Weijie Zheng Reducing bias in multi-objective optimization benchmarking Tome Eftimov Peter Korošec Optimal recombination and adaptive restarts improve GA performance on the asymmetric TSP Anton Eremeev Yulia Kovalenko Genetic improvement of data for maths functions William B. Langdon Oliver Krauss Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021) Thomas Laurent Paolo Arcaini Fuyuki Ishikawa Anthony Ventresque Genetic improvement of routing in delay tolerant networks Michela Lorandi Leonardo Lucio Custode Giovanni Iacca Interactive parameter tuning of bi-objective optimisation algorithms using the empirical attainment function Manuel López-Ibáñez Juan Esteban Diaz The influence of uncertainties on optimization of vaccinations on a network of animal movements Krzysztof Michalak Mario Giacobini Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems Michal W. Przewozniczek Piotr Dziurzanski Shuai Zhao Leandro S. Indrusiak On sampling error in evolutionary algorithms Dirk Schweim David Wittenberg Franz Rothlauf Improving assertion oracles with evolutionary computation Valerio Terragni Gunel Jahangirova Mauro Pezzè Paolo Tonella Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021) Weijie Zheng Huanhuan Chen Xin Yao SESSION: Late-breaking abstracts An improved predictor of daily stock index based on a genetic filter Dong-Hee Cho Seung-Hyun Moon Yong-Hyuk Kim Algorithm selection using transfer learning Niranjana Deshpande Naveen Sharma A software library for archiving nondominated points Duarte M. Dias Alexandre D. Jesus Luís Paquete An interactive tool for enhancing hospital capacity predictions using an epidemiological model F. Gibson R. Fabbro A. Rahat T. Torsney-Weir D. Archambault M. Gravenor B. Lucini A new hybrid evolutionary algorithm for dial-a-ride problems Sonia Nasri Hend Bouziri Wassila Aggoune-Mtalaa Generative design of microfluidic channel geometry using evolutionary approach Nikolay O. Nikitin Alexander Hvatov Iana S. Polonskaia Anna V. Kalyuzhnaya Georgii V. Grigorev Xiaohao Wang Xiang Qian Rapid prototyping of evolution-driven biclustering methods in Julia Paweł Renc Patryk Orzechowski Aleksander Byrski Jarosław Wąs Jason H. Moore k-Pareto optimality for many-objective genetic optimization Jean Ruppert Marharyta Aleksandrova Thomas Engel Winner prediction for real-time strategy games through feature selection based on a genetic wrapper Seung-Soo Shin Yong-Hyuk Kim TUTORIAL SESSION: Tutorials: Introductory tutorials Benchmarking: state-of-the-art and beyond Anne Auger Nikolaus Hansen Recent advances in particle swarm optimization analysis and understanding 2021 A P Engelbrecht C W Cleghorn A gentle introduction to theory (for non-theoreticians) Benjamin Doerr Runtime analysis of evolutionary algorithms: basic introduction Per Kristian Lehre Pietro S. Oliveto Evolution of neural networks Risto Miikkulainen Genetic programming: a tutorial introduction Una-May O'Reilly Erik Hemberg Replicability and reproducibility in evolutionary optimization Luís Paquete Manuel López-Ibáñez Representations for evolutionary algorithms Franz Rothlauf Introductory mathematical programming for EC Ofer M. Shir Learning classifier systems: from principles to modern systems Anthony Stein Masaya Nakata Hyper-heuristics tutorial Daniel R. Tauritz John Woodward Model-based evolutionary algorithms Dirk Thierens Peter A. N. Bosman Theoretical foundations of evolutionary computation for beginners and veterans Darrell Whitley TUTORIAL SESSION: Tutorials: Advanced tutorials CMA-ES and advanced adaptation mechanisms Youhei Akimoto Nikolaus Hansen Benchmarking multiobjective optimizers 2.0 Dimo Brockhoff Tea Tušar Advanced Learning Classifier Systems Prof Will Browne Constraint-handling techniques used with evolutionary algorithms Carlos A. Coello Coello Quality-diversity optimisation Antoine Cully Jean-Baptiste Mouret Stéphane Doncieux Evolutionary multi- and many-objective optimization: methodologies, applications and demonstration Kalyanmoy Deb Julian Blank Statistical analyses for meta-heuristic stochastic optimization algorithms Tome Eftimov Peter Korošec Genetic improvement: taking real-world source code and improving it using genetic programming Sæmundur Ó. Haraldsson Alexander Brownlee John R. Woodward Markus Wagner Bradley Alexander Dynamic multi-objective optimization: introduction, challenges, applications and future directions Mardé Helbig Lexicase Selection Thomas Helmuth William La Cava Runtime analysis of population-based evolutionary algorithms Per Kristian Lehre Pietro S. Oliveto Decomposition multi-objective optimisation: current developments and future opportunities Ke Li Qingfu Zhang Recent advances in landscape analysis for optimisation and learning Katherine Malan Gabriela Ochoa Evolutionary submodular optimisation Aneta Neumann Frank Neumann Chao Qian Sequential experimentation by evolutionary algorithms Ofer M. Shir Thomas Bäck Automated algorithm configuration and design Thomas Stützle Manuel López-Ibáñez Coevolutionary computation for adversarial deep learning Jamal Toutouh Una-May O'Reilly TUTORIAL SESSION: Tutorials: Specialized tutorials Evolutionary art and design: representation, fitness and interaction Penousal Machado Search based software engineering: challenges, opportunities and recent applications Ali Ouni Mohamed Wiem Mkaouer Applications of dynamic parameter control in evolutionary computation Gregor Papa Evolutionary computation and machine learning in cryptology Stjepan Picek Domagoj Jakobovic Push Lee Spector Towards a green AI: evolutionary solutions for an ecologically viable artificial intelligence Nayat Sánchez-Pi Luis Martí Evolutionary computation for feature selection and feature construction Bing Xue Mengjie Zhang Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition Mengjie Zhang Stefano Cagnoni WORKSHOP SESSION: Workshop: Analysing algorithmic behaviour of optimisation heuristics Quantifying the impact of boundary constraint handling methods on differential evolution Rick Boks Anna V. Kononova Hao Wang On the genotype compression and expansion for evolutionary algorithms in the continuous domain Lucija Planinic Marko Djurasevic Luca Mariot Domagoj Jakobovic Stjepan Picek Carlos Coello Coello Design of large-scale metaheuristic component studies Helena Stegherr Michael Heider Leopold Luley Jörg Hähner Benchmark generator for TD Mk landscapes Tobias van Driessel Dirk Thierens Emergence of structural bias in differential evolution Bas van Stein Fabio Caraffini Anna V. Kononova Is there anisotropy in structural bias? Diederick Vermetten Anna V. Kononova Fabio Caraffini Hao Wang Thomas Bäck WORKSHOP SESSION: Workshop: Black box optimization benchmarking DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite Dimo Brockhoff Baptiste Plaquevent-Jourdain Anne Auger Nikolaus Hansen Benchmarking SHADE algorithm enhanced with model based optimization on the BBOB noiseless testbed Michał Okulewicz Mateusz Zaborski WORKSHOP SESSION: Workshop: Decomposition techniques in evolutionary optimization An abstract interface for large-scale continuous optimization decomposition methods Rodolfo A. Lopes Rodrigo C. P. Silva Alan R. R. de Freitas The bee-benders hybrid algorithm with application to transmission expansion planning Cameron A. G. MacRae Melih Ozlen Andreas T. Ernst Population-based coordinate descent algorithm with majority voting Davood Zaman Farsa Azam Asilian Bidgoli Ehsan Rokhsat-Yazdi Shahryar Rahnamayan WORKSHOP SESSION: Workshop: Evolutionary algorithms and HPC An efficient fault-tolerant communication algorithm for population-based metaheuristics Amanda S. Dufek Douglas A. Augusto Helio J. C. Barbosa Pedro L. S. Dias Jack R. Deslippe Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers Joshua Karns Travis Desell Generating combinations on the GPU and its application to the k-subset sum Victor Parque X-Aevol: GPU implementation of an evolutionary experimentation simulator Laurent Turpin Thierry Gautier Jonathan Rouzaud-Cornabas WORKSHOP SESSION: Workshop: Evolutionary algorithms for problems with uncertainty Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets Tinkle Chugh Manuel López-Ibáñez RARE: evolutionary feature engineering for rare-variant bin discovery Satvik Dasariraju Ryan J. Urbanowicz A new acquisition function for robust Bayesian optimization of unconstrained problems Sibghat Ullah Hao Wang Stefan Menzel Bernhard Sendhoff Thomas Bäck WORKSHOP SESSION: Workshop: Evolutionary computation and decision making A divide and conquer approach for web services location allocation problem Harshal Tupsamudre Saket Saurabh Arun Ramamurthy Mangesh Gharote Sachin Lodha Model learning with personalized interpretability estimation (ML-PIE) Marco Virgolin Andrea De Lorenzo Francesca Randone Eric Medvet Mattias Wahde WORKSHOP SESSION: Workshop: Evolutionary computation for the automated design of algorithms Towards large scale automated algorithm design by integrating modular benchmarking frameworks Amine Aziz-Alaoui Carola Doerr Johann Dreo Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules Jacob de Nobel Diederick Vermetten Hao Wang Carola Doerr Thomas Bäck Automated design of accurate and robust image classifiers with brain programming Gerardo Ibarra-Vazquez Gustavo Olague Cesar Puente Mariana Chan-Ley Carlos Soubervielle-Montalvo A selection hyperheuristic guided by Thompson sampling for numerical optimization Marcella Scoczynski Diego Oliva Erick Rodríguez-Esparza Myriam Delgado Ricardo Lüders Mohamed El Yafrani Luiz Ledo Mohamed Abd Elaziz Marco Peréz-Cisnero Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction Yingfang Yuan Wenjun Wang Wei Pang WORKSHOP SESSION: Workshop: Evolutionary computation for permutation problems Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem Joan Alza Mark Bartlett Josu Ceberio John McCall On the symmetry of the quadratic assignment problem through elementary landscape decomposition Xabier Benavides Josu Ceberio Leticia Hernando Generating instances with performance differences for more than just two algorithms Jakob Bossek Markus Wagner Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem Andoni I. Garmendia Josu Ceberio Alexander Mendiburu Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms Michal W. Przewozniczek Marcin M. Komarnicki Peter A. N. Bosman Dirk Thierens Bartosz Frej Ngoc Hoang Luong An empirical evaluation of permutation-based policies for stochastic RCPSP Olivier Regnier-Coudert Guillaume Povéda Solving job shop scheduling problems without using a bias for good solutions Thomas Weise Xinlu Li Yan Chen Zhize Wu WORKSHOP SESSION: Workshop: Evolutionary data mining and optimization over graphs Graph-aware evolutionary algorithms for influence maximization Kateryna Konotopska Giovanni Iacca Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem Eneko Osaba Esther Villar-Rodriguez Izaskun Oregi Aitor Moreno-Fernandez-de-Leceta WORKSHOP SESSION: Workshop: Evolutionary reinforcement learning Novelty and MCTS Hendrik Baier Michael Kaisers Using deep Q-network for selection hyper-heuristics Augusto Dantas Alexander Fiabane do Rego Aurora Pozo Coordinate ascent MORE with adaptive entropy control for population-based regret minimization Maximilian Hüttenrauch Gerhard Neumann On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme Léni K. Le Goff Emma Hart Using reinforcement learning for tuning genetic algorithms Jose Quevedo Marwan Abdelatti Farhad Imani Manbir Sodhi Evolutionary reinforcement learning for sparse rewards Shibei Zhu Francesco Belardinelli Borja González León WORKSHOP SESSION: Workshop: Evolutionary computation software systems AI programmer: autonomously creating software programs using genetic algorithms Kory Becker Justin Gottschlich Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo Johann Dreo Arnaud Liefooghe Sébastien Verel Marc Schoenauer Juan J. Merelo Alexandre Quemy Benjamin Bouvier Jan Gmys Component-based design of multi-objective evolutionary algorithms using the Tigon optimization library João A. Duro Daniel C. Oara Ambuj K. Sriwastava Yiming Yan Shaul Salomon Robin C. Purshouse EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia Paweł Renc Patryk Orzechowski Aleksander Byrski Jarosław Wăs Jason H. Moore WORKSHOP SESSION: Workshop: Industrial applications of metaheuristics A multi-objective genetic algorithm for jacket optimization Jan Burak Ole Jakob Mengshoel Using grammatical evolution for modelling energy consumption on a computer numerical control machine Samuel Carvalho Joe Sullivan Douglas Mota Dias Enrique Naredo Conor Ryan A heuristic approach to feasibility verification for truck loading Vinicius Gandra Hatice Çalik Tony Wauters Greet Vanden Berghe Trustworthy AI for process automation on a Chylla-Haase polymerization reactor Daniel Hein Daniel Labisch Multi tree operators for genetic programming to identify optimal energy flow controllers Kathrin Kefer Roland Hanghofer Patrick Kefer Markus Stöger Bernd Hofer Michael Affenzeller Stephan Winkler Simulation-based scheduling of a large-scale industrial formulation plant using a heuristics-assisted genetic algorithm Christian Klanke Dominik Bleidorn Christian Koslowski Christian Sonntag Sebastian Engell Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge Anna V. Kononova Ofer M. Shir Teus Tukker Pierluigi Frisco Shutong Zeng Thomas Bäck Advanced mine optimisation under uncertainty using evolution William Reid Aneta Neumann Simon Ratcliffe Frank Neumann Determining a consistent experimental setup for benchmarking and optimizing databases Moisés Silva-Muñoz Gonzalo Calderon Alberto Franzin Hugues Bersini Multi-objective evolutionary product bundling: a case study Okan Tunali Ahmet Tuğrul Bayrak Victor Sanchez-Anguix Reyhan Aydoğan WORKSHOP SESSION: Workshop: International workshop on learning classifier systems A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies Jordan T. Bishop Marcus Gallagher Will N. Browne An experimental comparison of explore/exploit strategies for the learning classifier system XCS Tim Hansmeier Marco Platzner An overview of LCS research from 2020 to 2021 David Pätzel Michael Heider Alexander R. M. Wagner WORKSHOP SESSION: Workshop: Landscape-aware heuristic search Understanding parameter spaces using local optima networks: a case study on particle swarm optimization Christopher W Cleghorn Gabriela Ochoa Investigating the landscape of a hybrid local search approach for a timetabling problem Thomas Feutrier Marie-Éléonore Kessaci Nadarajen Veerapen Towards population-based fitness landscape analysis using local optima networks Melike D. Karatas Ozgur E. Akman Jonathan E. Fieldsend Dissipative polynomials William B. Langdon Justyna Petke David Clark Analysing the loss landscape features of generative adversarial networks Jarrod Moses Katherine M. Malan Anna S. Bosman Dynamic landscape analysis for open-ended stacking Bernhard Werth Johannes Karder Andreas Beham Stefan Wagner WORKSHOP SESSION: Workshop: Neuroevolution at work Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach Ivanoe De Falco Antonio Della Cioppa Angelo Marcelli Umberto Scafuri Luca Stellaccio Ernesto Tarantino Evolving neural selection with adaptive regularization Li Ding Lee Spector Pareto-optimal progressive neural architecture search Eugenio Lomurno Stefano Samele Matteo Matteucci Danilo Ardagna Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters Zimeng Lyu Shuchita Patwardhan David Stadem James Langfeld Steve Benson Seth Thoelke Travis Desell On the effects of pruning on evolved neural controllers for soft robots Giorgia Nadizar Eric Medvet Felice Andrea Pellegrino Marco Zullich Stefano Nichele Behavior-based neuroevolutionary training in reinforcement learning Jörg Stork Martin Zaefferer Nils Eisler Patrick Tichelmann Thomas Bartz-Beielstein A. E. Eiben Hybrid encodings for neuroevolution of convolutional neural networks: a case study Gustavo-Adolfo Vargas-Hákim Efrén Mezura-Montes Héctor-Gabriel Acosta-Mesa WORKSHOP SESSION: Workshop: Parallel and distributed evolutionary inspired methods A partially asynchronous global parallel genetic algorithm Darren M. Chitty An operation to promote diversity in evolutionary algorithms in a dynamic hybrid island model Grasiele R. Duarte Beatriz S. L. P. de Lima Solving QUBO with GPU parallel MOPSO Noriyuki Fujimoto Kouki Nanai Conduit: a C++ library for best-effort high performance computing Matthew Andres Moreno Santiago Rodriguez Papa Charles Ofria Island model in ActoDatA: an actor-based implementation of a classical distributed evolutionary computation paradigm Giuseppe Petrosino Federico Bergenti Gianfranco Lombardo Monica Mordonini Agostino Poggi Michele Tomaiuolo Stefano Cagnoni WORKSHOP SESSION: Workshop: Real-world applications of continuous and mixed-integer optimization House price prediction using clustering and genetic programming along with conducting a comparative study Fateme Azimlu Shahryar Rahnamayan Masoud Makrehchi A matheuristic approach for finding effective base locations and team configurations for north west air ambulance Burak Boyacı Muhammad Ali Nayeem Ahmed Kheiri Project portfolio selection with defense capability options Kyle Robert Harrison Saber Elsayed Ruhul A. Sarker Ivan L. Garanovich Terence Weir Sharon G. Boswell Black-box adversarial attacks using evolution strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca Evolutionary algorithms in high-dimensional radio access network optimization Dmitriy Semenchikov Anna Filippova Dmitriy Volf Nikolai Kovrizhnykh Maxim Mironov Zou Jinying Luo Ronghui Zhu Yuanming Chai Dapeng Huang Wei WORKSHOP SESSION: Workshop: Surrogate-assisted evolutionary optimisation Preferential Bayesian optimisation with skew gaussian processes Alessio Benavoli Dario Azzimonti Dario Piga Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints Laurens Bliek Arthur Guijt Sicco Verwer Mathijs de Weerdt How Bayesian should Bayesian optimisation be? George De Ath Richard M. Everson Jonathan E. Fieldsend A two-phase surrogate approach for high-dimensional constrained discrete multi-objective optimization Rommel G. Regis Augmenting high-dimensional nonlinear optimization with conditional GANs Pouya Rezazadeh Kalehbasti Michael D. Lepech Samarpreet Singh Pandher WORKSHOP SESSION: Workshop: Genetic and evolutionary computation in defense, security, and risk management Multi-objective evolutionary algorithms for distributed tactical control of heterogeneous agents Rahul Dubey Sushil J. Louis Deceiving neural source code classifiers: finding adversarial examples with grammatical evolution Claudio Ferretti Martina Saletta Competitive coevolution for defense and security: Elo-based similar-strength opponent sampling Sean N. Harris Daniel R. Tauritz Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms Ying Zhao Erik Hemberg Nate Derbinsky Gabino Mata Una-May O'Reilly WORKSHOP SESSION: Workshop: Swarm intelligence algorithms: Foundations, perspectives and challenges Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control Tomas Kadavy Michal Pluhacek Adam Viktorin Roman Senkerik HCS-BBD: an effective population-based approach for multi-level thresholding Seyed Jalaleddin Mousavirad Gerald Schaefer Diego Oliva Salvador Hinojosa A population-based automatic clustering algorithm for image segmentation Seyed Jalaleddin Mousavirad Gerald Schaefer Mahshid Helali Moghadam Mehrdad Saadatmand Mahdi Pedram A differential particle scheme and its application to PID parameter tuning of an inverted pendulum Victor Parque Explaining SOMA: the relation of stochastic perturbation to population diversity and parameter space coverage Michal Pluhacek Anezka Kazikova Tomas Kadavy Adam Viktorin Roman Senkerik WORKSHOP SESSION: Workshop: Visualisation methods in genetic and evolutionary computation Visualizing fitnesses and constraint violations in single-objective optimization Tomofumi Kitamura Alex Fukunaga Many-objective population visualisation with geons Marius N. Varga Swen E. Gaudl David J. Walker WORKSHOP SESSION: Workshop: Student workshop CLAHC - custom late acceptance hill climbing: first results on TSP Sylvain Clay Lucien Mousin Nadarajen Veerapen Laetitia Jourdan Negative learning ant colony optimization for the minimum positive influence dominating set problem Albert López Serrano Teddy Nurcahyadi Salim Bouamama Christian Blum A parallel genetic algorithm to speed up the resolution of the algorithm selection problem Alejandro Marrero Eduardo Segredo Coromoto Leon Automated parameter choice with exploratory landscape analysis and machine learning Maxim Pikalov Vladimir Mironovich The lower bounds on the runtime of the (1 + (λ, λ)) GA on the minimum spanning tree problem Matvey Shnytkin Denis Antipov Concurrent neural tree and data preprocessing AutoML for image classification Anish Thite Mohan Dodda Alex Liu Pulak Agarwal Jason Zutty Population network structure impacts genetic algorithm optimisation performance Aymeric Vié