GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion Full Citation in the ACM Digital Library SESSION: Competition entry: Competition internet of things - Online event detection for drinking water quality control Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach Victor Henrique Alves Ribeiro Gilberto Reynoso-Meza SESSION: Competition entry: Competition 100-digit challenge Self-organizing migrating algorithm for the 100-digit challenge Quoc Bao Diep Ivan Zelinka Swagatam Das L-SHADE with an adaptive penalty method of balancing the objective value and the constraint violation Takeshi Kawachi Jun-ichi Kushida Akira Hara Tetsuyuki Takahama Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization Fernando Lezama João Soares Ricardo Faia Zita Vale Helper and equivalent objective different evolution for constrained optimisation Tao Xu Jun He Changjing Shang Function evaluations upto 1e+12 and large population sizes assessed in distance-based success history differential evolution for 100-digit challenge and numerical optimization scenarios (DISHchain 1e+12): a competition entry for "100-digit challenge, and four other numerical optimization competitions" at the genetic and evolutionary computation conference (CECCO) 2019 Aleš Zamuda SESSION: Competition entry: Competition evolutionary computation in uncertain environments - A smart grid application CUMDANCauchy-C1: a cellular EDA designed to solve the energy resource management problem under uncertainty Yoan Martínez-López Ansel Y. Rodríguez-González Julio Madera Quintana Alexis Moya Bismay Morgado Miguel Betancourt Mayedo SESSION: Competition entry: Competition AI competition for the legends of the three kingdoms game Solving legends of the three kingdoms based on hierarchical macro strategy model Youjie Zhang Xiang Ding Zhi Chen SESSION: Hot off the press Gaussian process surrogate models for the CMA-ES Lukáš Bajer Zbyněk Pitra Jakub Repický Martin Holeňa Combining artificial neural networks and evolution to solve multiobjective knapsack problems Roman Denysiuk António Gaspar-Cunha Alexandre C. B. Delbem Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis Tome Eftimov Peter Korošec Generating interpretable reinforcement learning policies using genetic programming Daniel Hein Steffen Udluft Thomas A. Runkler The (1 + 1)-EA with mutation rate (1 + ϵ)/n is efficient on monotone functions: an entropy compression argument. (hot-off-the-press track at GECCO 2019) Johannes Lengler Anders Martinsson Angelika Steger Low-Dimensional euclidean embedding for visualization of search spaces in combinatorial optimization Krzysztof Michalak Discovering test statistics using genetic programming Jason H. Moore Randal S. Olson Yong Chen Moshe Sipper EBIC: a scalable biclustering method for large scale data analysis Patryk Orzechowski Jason H. Moore A bi-level hybrid PSO: MIP solver approach to define dynamic tariffs and estimate bounds for an electricity retailer profit Inês Soares Maria João Alves Carlos Henggeier Antunes Stochastic program synthesis via recursion schemes Jerry Swan Krzysztof Krawiec Zoltan A. Kocsis Analysing heuristic subsequences for offline hyper-heuristic learning William B. Yates Edward C. Keedwell Hot off the press in expert systems on underwater robotic missions: success history applied to differential evolution for underwater glider path planning Aleš Zamuda José Daniel Hernández Sosa SESSION: Late-breaking abstract A two-phase genetic algorithm for incorporating environmental considerations with production, inventory and routing decisions in supply chain networks Nader Azad Adel Aazami Ali Papi Armin Jabbarzadeh Application of estimation of distribution algorithm for feature selection Mayowa Ayodele Hybrid estimation of distribution algorithm for solving a resource level allocation problem in a legal business Mayowa Ayodele K. Nadia Papamichail Geraldine Gallagher Darren Buckley Beyond coreset discovery: evolutionary archetypes Pietro Barbiero Giovanni Squillero Alberto Tonda Genetic algorithms are very good solved sudoku generators Amit Benbassat Stabilized training of generative adversarial networks by a genetic algorithm Hwi-Yeon Cho Yong-Hyuk Kim Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms J. Ignacio Hidalgo Ricardo Fernández Oscar Garnica J. Manuel Colmenar Juan Lanchares Gaspar González-Doncel Skill emergence and transfer in multi-agent environments Ingmar Kanitscheider Bowen Baker Todor Markov Igor Mordatch Modelling and solving the combined inventory routing problem with risk consideration Ahmed Kheiri Konstantinos Zografos Integrating agent actions with genetic action sequence method Man-Je Kim Jun Suk Kim Donghyeon Lee Sungjin James Kim Min-Jung Kim Chang Wook Ahn Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks Yong-Hoon Kim Junghwan Lee Yong-Hyuk Kim Parallel GPQUICK W. B. Langdon Genetic algorithm-based feature selection for depression scale prediction Seung-Ju Lee Hyun-Ji Moon Da-Jung Kim Yourim Yoon Multidimensional time series feature engineering by hybrid evolutionary approach Piotr Lipinski Krzysztof Michalak CE+EPSO: a merged approach to solve SCOPF problem Carolina G. Marcelino Carlos Pedreira Elizabeth F. Wanner Leonel M. Carvalho Vladimiro Miranda Armando L. da Silva On the automatic planning of healthy and balanced menus Alejandro Marrero Eduardo Segredo Coromoto Leon EDA with hamming distance for consumption-loan planning in experimental economics Yukiko Orito Tomoko Kashima Towards solving neural networks with optimization trajectory search Lia T. Parsenadze Danilo Vasconcellos Vargas Toshiyuki Fujita A honeybee mating optimization algorithm for solving the static bike rebalancing problem Mariem Sebai Ezzeddine Fatnassi Lilia Rejeb OINNIONN: outward inward neural network and inward outward neural network evolution Aviv Segev Rituparna Datta Ryan Benton Dorothy Curtis Techniques from evolutionary computation to implement as experimental approaches in synthetic biology: tests in silico Alexander Spirov Ekaterina Myasnikova Selective pressure in constrained differential evolution Vladimir Stanovov Shakhnaz Akhmedova Eugene Semenkin Trajectory optimization for car races using genetic algorithms Dana Vrajitoru Probabilistic grammar-based deep neuroevolution Pak-Kan Wong Man-Leung Wong Kwong-Sak Leung Identifying variable interaction using mutual information of multiple local optima Yapei Wu Xingguang Peng Demin Xu Predictability on performance of surrogate-assisted evolutionary algorithm according to problem dimension Dong-Pil Yu Yong-Hyuk Kim Bi-objective optimal planning for emergency resource allocation in the maritime oil spill accident response phase under uncertainty Guohai Zhu Kewei Yang Qingsong Zhao Zhiwei Yang A new hybrid ant colony algorithms for the traveling thief problem Wiem Zouari Ines Alaya Moncef Tagina TUTORIAL SESSION: Tutorial: Introductory tutorials Evolutionary robotics tutorial N. Bredeche S. Doncieux J.-B. Mouret Tutorial on evolutionary multiobjective optimization Dimo Brockhoff Constraint-handling techniques used with evolutionary algorithms Carlos A. Coello Coello Evolutionary computation: a unified approach Kenneth De Jong Theory for non-theoreticians: introductory tutorial Benjamin Doerr Neuroevolution for deep reinforcement learning problems David Ha A practical guide to experimentation (and benchmarking) Nikolaus Hansen Evolutionary many-objective optimization Hisao Ishibuchi Hiroyuki Sato Runtime analysis of evolutionary algorithms: basic introduction: introductory tutorial at GECCO 2019 Per Kristian Lehre Pietro S. Oliveto Evolution of neural networks Risto Miikkulainen Introduction to genetic programming Una-May O'Reilly Erik Hemberg Representations for evolutionary algorithms Franz Rothlauf Learning classifier systems: from principles to modern systems Anthony Stein Hyper-heuristics tutorial Daniel R. Tauritz John Woodward Model-based evolutionary algorithms Dirk Thierens Peter A. N. Bosman TUTORIAL SESSION: Tutorial: Advanced tutorials CMA-ES and advanced adaptation mechanisms Youhei Akimoto Nikolaus Hansen Simulation optimisation: tutorial Juergen Branke Dynamic parameter choices in evolutionary computation Carola Doerr Recent advances in particle swarm optimization analysis and understanding AP Engelbrecht CW Cleghorn Visualization in multiobjective optimization Bogdan Filipič Tea Tušar Solving complex problems with coevolutionary algorithms Krzysztof Krawiec Malcolm Heywood Decomposition multi-objective optimisation: current developments and future opportunities Ke Li Qingfu Zhang Semantic genetic programming Alberto Moraglio Krzysztof Krawiec Evolutionary computation for digital art Aneta Neumann Frank Neumann Recent advances in fitness landscape analysis Gabriela Ochoa Katherine Malan Sequential experimentation by evolutionary algorithms Ofer M. Shir Thomas Bäck Next generation genetic algorithms Darrell Whitley F. Chicano G. Ochoa A. Sutton R. Tinós TUTORIAL SESSION: Tutorial: Specialized tutorials Exploratory landscape analysis Pascal Kerschke Mike Preuss Creative evolutionary computation Antonios Liapis Georgios N. Yannakakis Concurrency in evolutionary algorithms J J Merelo Push: genetic programming for finite algebras Lee Spector Nicholas Freitag McPhee Lee Spector David M. Clark Ian Lindsay Bradford Barr Jon Klein Theory of estimation-of-distribution algorithms Carsten Witt Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition Mengjie Zhang Stefano Cagnoni WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation + multiple criteria decision making Minimum spanning tree-based clustering of large pareto archives Andrzej Jaszkiewicz A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem Marios Kefalas Steffen Limmer Asteris Apostolidis Markus Olhofer Michael Emmerich Thomas Bäck WORKSHOP SESSION: Workshop paper: Workshop international workshop on learning classifier systems Predicting the remaining useful life of plasma equipment through XCSR Liang-Yu Chen Jia-Hua Lee Ya-Liang Yang Ming-Tsung Yeh Tzu-Chien Hsiao LCS-based automatic configuration of approximate computing parameters for FPGA system designs Simon Conrady Manu Manuel Arne Kreddig Walter Stechele Real-time detection of internet addiction using reinforcement learning system Hong-Ming Ji Liang-Yu Chen Tzu-Chien Hsiao Preliminary tests of a real-valued anticipatory classifier system Norbert Kozlowski Olgierd Unold A survey of formal theoretical advances regarding XCS David Pätzel Anthony Stein Jörg Hähner XCS-CR for handling input, output, and reward noise Takato Tatsumi Keiki Takadama WORKSHOP SESSION: Workshop paper: Workshop evolutionary data mining and optimization over graphs Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks Antonio D. Masegosa Eneko Osaba Juan S. Angarita-Zapata Ibai Laña Javier Del Ser Solving the parameterless firefighter problem using multiobjective evolutionary algorithms Krzysztof Michalak Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams Eneko Osaba Javier Del Ser Angel Panizo David Camacho Akemi Galvez Andres Iglesias WORKSHOP SESSION: Workshop paper: Workshop industrial applications of metaheuristics A memetic algorithm to optimize bus timetable with unequal time intervals Pengfei Gao Xingquan Zuo Qiang Bian Xinchao Zhao Increasing trust in meta-heuristics by using MAP-elites Neil Urquhart Michael Guckert Simon Powers WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation software systems MABE 2.0: an introduction to MABE and a road map for the future of MABE development Clifford Bohm Alexander Lalejini Jory Schossau Charles Ofria Generalized incremental orthant search: towards efficient steady-state evolutionary multiobjective algorithms Maxim Buzdalov A symbolic evolutionary algorithm software platform Rodolfo Ayala Lopes Thiago Macedo Gomes Alan Robert Resende de Freitas Automatic configuration of NSGA-II with jMetal and irace Antonio J. Nebro Manuel López-Ibáñez Cristóbal Barba-González José García-Nieto Evolutionary and swarm-intelligence algorithms through monadic composition Gary Pamparà Andries P. Engelbrecht ECJ at 20: toward a general metaheuristics toolkit Eric O. Scott Sean Luke WORKSHOP SESSION: Workshop paper: Workshop decomposition techniques in evolutionary optimization Differential evolution for multi-modal multi-objective problems Monalisa Pal Sanghamitra Bandyopadhyay WORKSHOP SESSION: Workshop paper: Workshop landscape-aware heuristic search Local optima networks for continuous fitness landscapes Jason Adair Gabriela Ochoa Katherine M. Malan Landscape analysis under measurement error Khulood Alyahya Ozgur E. Akman Jonathan E. Fieldsend Coupling the design of benchmark with algorithm in landscape-aware solver design Johann Dreo Carola Doerr Yann Semet Visualising the landscape of multi-objective problems using local optima networks Jonathan E. Fieldsend Khulood Alyahya Local optima network analysis for MAX-SAT Gabriela Ochoa Francisco Chicano WORKSHOP SESSION: Workshop paper: Workshop evolutionary algorithms for problems with uncertainty Uncertainty in real-world steel stacking problems Andreas Beham Sebastian Raggl Stefan Wagner Michael Affenzeller A generator for dynamically constrained optimization problems Gary Pamparà Andries P. Engelbrecht Hybrid techniques for detecting changes in less detectable dynamic multiobjective optimization problems Shaaban Sahmoud Haluk Rahmi Topcuoglu WORKSHOP SESSION: Workshop paper: Workshop interactive methods An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations Kei Ohnishi Tomohiro Yoshikawa Tian-Li Yu Human-evolutionary problem solving through gamification of a bin-packing problem Nicholas D. F. Ross Matthew B. Johns Edward C. Keedwell Dragan A. Savic WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation for the automated design of algorithms SAPIAS concept: towards an independent self-adaptive per-instance algorithm selection for metaheuristics Mohamed Amine El Majdouli Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics Adam Harter Aaron Scott Pope Daniel R. Tauritz Chris Rawlings Instruction-level design of local optimisers using push GP Michael A. Lones Toward self-learning model-based EAs Erik A. Meulman Peter A. N. Bosman Automated design of random dynamic graph models Aaron Scott Pope Daniel R. Tauritz Chris Rawlings Evolving mean-update selection methods for CMA-ES Samuel N. Richter Michael G. Schoen Daniel R. Tauritz WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation for permutation problems On the definition of dynamic permutation problems under landscape rotation Joan Alza Mark Bartlett Josu Ceberio John McCall An experimental comparison of algebraic differential evolution using different generating sets Marco Baioletti Alfredo Milani Valentino Santucci Umberto Bartoccini Search moves in the local optima networks of permutation spaces: the QAP case Marco Baioletti Alfredo Milani Valentino Santucci Marco Tomassini Evolutionary search techniques for the Lyndon factorization of biosequences Amanda Clare Jacqueline W. Daykin Thomas Mills Christine Zarges Deriving knowledge from local optima networks for evolutionary optimization in inventory routing problem Piotr Lipinski Krzysztof Michalak WORKSHOP SESSION: Workshop paper: Workshop surrogate-assisted evolutionary optimisation Multi-point infill sampling strategies exploiting multiple surrogate models P. Beaucaire Ch. Beauthier C. Sainvitu Benchmarking surrogate-assisted genetic recommender systems Thomas Gabor Philipp Altmann Prediction of neural network performance by phenotypic modeling Alexander Hagg Martin Zaefferer Jörg Stork Adam Gaier Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study Nikolay O. Nikitin Pavel Vychuzhanin Alexander Hvatov Irina Deeva Anna V. Kalyuzhnaya Sergey V. Kovalchuk On the use of surrogate models in engineering design optimization and exploration: the key issues Pramudita Satria Palar Rhea Patricia Liem Lavi Rizki Zuhal Koji Shimoyama On benchmarking surrogate-assisted evolutionary algorithms Vanessa Volz Boris Naujoks WORKSHOP SESSION: Workshop paper: Workshop genetic and evolutionary computation in defense, security, and risk management A mixed framework to support heterogeneous collection asset scheduling Jean Berger Moufid Harb Ibrahim Abualhaol Alexander Tekse Rami Abielmona Emil Petriu Vulnerability assessment of machine learning based malware classification models Godwin Raju Pavol Zavarsky Adetokunbo Makanju Yasir Malik A new approach for malware detection based on evolutionary algorithm Farnoush Manavi Ali Hamzeh C3PO: cipher construction with cartesian genetic programming Stjepan Picek Karlo Knezevic Domagoj Jakobovic Ante Derek Automated design of tailored link prediction heuristics for applications in enterprise network security Aaron Scott Pope Daniel R. Tauritz Melissa Turcotte A role-base approach and a genetic algorithm for VLAN design in large critical infrastructures Igor Saenko Igor Kotenko Darwinian malware detectors: a comparison of evolutionary solutions to android malware Zachary Wilkins Nur Zincir-Heywood Investigating algorithms for finding nash equilibria in cyber security problems Linda Zhang Erik Hemberg WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation in health care and nursing system Discovering dependencies among mined association rules with population-based metaheuristics Iztok Fister Akemi Galvez Eneko Osaba Javier Del Ser Andres Iglesias Iztok Fister Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm Akemi Gálvez Iztok Fister Eneko Osaba Iztok Fister Javier Del Ser Andrés Iglesias A deep learning system that learns a discriminative model autonomously using difference images Ryodai Hamasaki Koichi Nakayama Drone monitoring system for disaster areas Patrick Hock Koki Wakiyama Chika Oshima Koichi Nakayama An entirely self-administrated genetic algorithm implemented using block chain technology Koichi Nakayama Kanta Nanri Yutaka Moriyama Chika Oshima Intention inference from 2D poses of preliminary action using OpenPose Ryuji Tanaka Chika Oshima Koichi Nakayama WORKSHOP SESSION: Workshop paper: Workshop genetic improvement Toward human-like summaries generated from heterogeneous software artefacts Mahfouth Alghamdi Christoph Treude Markus Wagner On adaptive specialisation in genetic improvement Aymeric Blot Justyna Petke The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach Mahmoud A. Bokhari Markus Wagner Brad Alexander Genetic algorithms for affine transformations to existential t-restrictions Ryan E. Dougherty Erin Lanus Charles J. Colbourn Stephanie Forrest Genetic improvement of data gives double precision invsqrt W. B. Langdon A survey of genetic improvement search spaces Justyna Petke Brad Alexander Earl T. Barr Alexander E. I. Brownlee Markus Wagner David R. White WORKSHOP SESSION: Workshop paper: Workshop real-world applications of continuous and mixed-integer optimization Worst case search over a set of forecasting scenarios applied to financial stress-testing Steffen Finck Implementing evolutionary optimization to model neural functional connectivity Kaitlin Maile Manish Saggar Risto Miikkulainen Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility Hemant Kumar Singh Tapabrata Ray Tobias Rodemann Markus Olhofer WORKSHOP SESSION: Workshop paper: Workshop game-benchmark for evolutionary algorithms Game AI hyperparameter tuning in rinascimento Ivan Bravi Vanessa Volz Simon Lucas WORKSHOP SESSION: Workshop paper: Workshop understanding machine learning optimization problems Evolutionary discovery of coresets for classification Pietro Barbiero Giovanni Squillero Alberto Tonda Making a case for (Hyper-)parameter tuning as benchmark problems Carola Doerr Johann Dreo Pascal Kerschke Automatic surrogate modelling technique selection based on features of optimization problems Bhupinder Singh Saini Manuel Lopez-Ibanez Kaisa Miettinen Global structure of policy search spaces for reinforcement learning B. Stapelberg K. M. Malan WORKSHOP SESSION: Workshop paper: Workshop black box discrete optimization benchmarking Towards better estimation of statistical significance when comparing evolutionary algorithms Maxim Buzdalov Bayesian performance analysis for black-box optimization benchmarking Borja Calvo Ofer M. Shir Josu Ceberio Carola Doerr Hao Wang Thomas Bäck Jose A. Lozano Benchmarking discrete optimization heuristics with IOHprofiler Carola Doerr Furong Ye Naama Horesh Hao Wang Ofer M. Shir Thomas Bäck Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper Ivan Ignashov Arina Buzdalova Maxim Buzdalov Carola Doerr Kinder surprise's debut in discrete optimisation: a real-world toy problem that can be subadditive Markus Wagner Binary 100-digit challenge using IEEE-754 coded numerical optimization scenarios (100b-digit) and V-shape binary distance-based success history differential evolution (DISHv) Aleš Zamuda WORKSHOP SESSION: Workshop paper: Workshop medical applications of genetic and evolutionary computation Can clustering improve glucose forecasting with genetic programming models? Sergio Contador J. Ignacio Hidalgo Oscar Garnica J. Manuel Velasco Juan Lanchares Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI Paulo Lapa Ivo Gonçalves Leonardo Rundo Mauro Castelli A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer Jnanendra Prasad Sarkar Indrajit Saha Somnath Rakshit Monalisa Pal Michal Wlasnowolski Anasua Sarkar Ujjwal Maulik Dariusz Plewczynski Application of classification for figure copying test in Parkinson's disease diagnosis by using cartesian genetic programming Tian Xia Jeremy Cosgrove Jane Alty Stuart Jamieson Stephen Smith WORKSHOP SESSION: Workshop paper: Workshop visualisation methods in genetic and evolutionary computation An analysis of dimensionality reduction techniques for visualizing evolution Andrea De Lorenzo Eric Medvet Tea Tušar Alberto Bartoli WORKSHOP SESSION: Workshop paper: Workshop on evolutionary algorithms for smart grids Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation Fernando Lezama Joao Soares Ricardo Faia Zita Vale Leonardo H. Macedo Rubén Romero WORKSHOP SESSION: Workshop paper: Workshop new standards for benchmarking in evolutionary computation research Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem Michael Hellwig Patrick Spettel Hans-Georg Beyer Exploring the MLDA benchmark on the nevergrad platform Jeremy Rapin Marcus Gallagher Pascal Kerschke Mike Preuss Olivier Teytaud WORKSHOP SESSION: Workshop paper: Workshop black-box-optimization benchmarking Benchmarking the ATM algorithm on the BBOB 2009 noiseless function testbed Benjamin Bodner Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed Dimo Brockhoff Tea Tušar The impact of sample volume in random search on the bbob test suite Dimo Brockhoff Nikolaus Hansen Benchmarking MO-CMA-ES and COMO-CMA-ES on the bi-objective bbob-biobj testbed Paul Dufossé Cheikh Touré Benchmarking GNN-CMA-ES on the BBOB noiseless testbed Louis Faury Clément Calauzènes Olivier Fercoq Benchmarking large scale variants of CMA-ES and L-BFGS-B on the bbob-largescale testbed Konstantinos Varelas Benchmarking multivariate solvers of SciPy on the noiseless testbed Konstantinos Varelas Marie-Ange Dahito WORKSHOP SESSION: Workshop paper: Workshop computational intelligence in aerospace science and engineering Structured-chromosome GA optimisation for satellite tracking Lorenzo Gentile Cristian Greco Edmondo Minisci Thomas Bartz-Beielstein Massimiliano Vasile Determination of microscopic residual stresses using evolutionary algorithms J. Ignacio Hidalgo Ricardo Fernández J. Manuel Colmenar Oscar Garnica Juan Lanchares Gaspar González-Doncel Interplanetary transfers via deep representations of the optimal policy and/or of the value function Dario Izzo Ekin Öztürk Marcus Märtens Hybridizing differential evolution and novelty search for multimodal optimization problems Aritz D. Martinez Eneko Osaba Izaskun Oregi Iztok Fister Iztok Fister Javier Del Ser Benchmarking constrained surrogate-based optimization on low speed airfoil design problems Pramudita Satria Palar Yohanes Bimo Dwianto Rommel G. Regis Akira Oyama Lavi Rizki Zuhal Solving multi-objective dynamic travelling salesman problems by relaxation Lorenzo A. Ricciardi Massimiliano Vasile Immune and genetic hybrid optimization algorithm for data relay satellite with microwave and laser links Weihu Zhao Guijin Xia Cheng Dong Wei Li Shuai Ren Yinghui Xue Shuwen Chen Xiya Chen WORKSHOP SESSION: Student workshop paper: Student workshop Meta-genetic programming for static quantum circuits Kenton M. Barnes Michael B. Gale Limited memory, limited arity unbiased black-box complexity: first insights Nina Bulanova Maxim Buzdalov On the construction of pareto-compliant quality indicators Jesús Guillermo Falcón-Cardona Michael T. M. Emmerich Carlos A. Coello Coello Random subsampling improves performance in lexicase selection Jose Guadalupe Hernandez Alexander Lalejini Emily Dolson Charles Ofria Adaptive landscape analysis Anja Janković Carola Doerr Theoretical and empirical study of the (1 + (λ, λ)) EA on the leadingones problem Vitalii Karavaev Denis Antipov Benjamin Doerr Evolution and self-teaching in neural networks: another comparison when the agent is more primitively conscious Nam Le Dynamic compartmental models for algorithm analysis and population size estimation Hugo Monzón Hernán Aguirre Sébastien Verel Arnaud Liefooghe Bilel Derbel Kiyoshi Tanaka Expressiveness and robustness of landscape features Quentin Renau Johann Dreo Carola Doerr Benjamin Doerr A biased random key genetic algorithm for the weighted independent domination problem Guillem Rodríguez Corominas Christian Blum Maria J. Blesa Modularity metrics for genetic programming Anil Kumar Saini Lee Spector Knowledge-driven reference-point based multi-objective optimization: first results Henrik Smedberg Optimization of a demand responsive transport service using multi-objective evolutionary algorithms Renan J. S. Viana André G. Santos Flávio V. C. Martins Elizabeth F. Wanner Fixed-target runtime analysis of the (1 + 1) EA with resampling Dmitry Vinokurov Maxim Buzdalov Arina Buzdalova Benjamin Doerr Carola Doerr Ensemble-based constraint handling in multiobjective optimization Aljoša Vodopija Akira Oyama Bogdan Filipič
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library