GECCO '17- Proceedings of the Genetic and Evolutionary Computation Conference Companion GECCO '17- Proceedings of the Genetic and Evolutionary Computation Conference Companion Full Citation in the ACM Digital Library WORKSHOP SESSION: Simulation in evolutionary robotics A baseline-realistic objective open-ended kinematics simulator for evolutionary robotics Riley Konsella Frank Chiarulli John Peterson John Rieffel Simulating the evolution of soft and rigid-body robots Sam Kriegman Collin Cappelle Francesco Corucci Anton Bernatskiy Nick Cheney Josh C. Bongard 20 years of reality gap: a few thoughts about simulators in evolutionary robotics Jean-Baptiste Mouret Konstantinos Chatzilygeroudis WORKSHOP SESSION: 7th workshop on evolutionary computation for the automated design of algorithms Towards a method for automatically selecting and configuring multi-label classification algorithms Alex G. C. de Sá Gisele L. Pappa Alex A. Freitas Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration Islam Elnabarawy Daniel R. Tauritz Donald C. Wunsch Comparing hyper-heuristics with blackboard systems Kevin Graham Leslie Smith Evaluating random forest models for irace Leslie Pérez Cáceres Bernd Bischl Thomas Stützle Recent developments in autoconstructive evolution Lee Spector Eva Moscovici Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problems Fan Xue Geoffrey Q Shen WORKSHOP SESSION: Evolution in cognition (second edition) Chairs' welcome for GECCO'17 workshop "evolution in cognition" Stephane Doncieux Joshua E. Auerbach Richard J. Duro Harold P. de Vladar Cognitive cultural dynamics Harold P. de Vladar Context nodes in the operation of a long term memory structure for an evolutionary cognitive architecture Richard J. Duro Jose A. Becerra Juan Monroy Luis Calvo Learning highly diverse robot throwing movements through quality diversity search Seungsu Kim Stéphane Doncieux WORKSHOP SESSION: Evolutionary computation software systems In hypercubo nigrae capsulae optimum Arnaud Berny ecr 2.0: a modular framework for evolutionary computation in R Jakob Bossek PonyGE2: grammatical evolution in Python Michael Fenton James McDermott David Fagan Stefan Forstenlechner Erik Hemberg Michael O'Neill evospace-js: asynchronous pool-based execution of heterogeneous metaheuristics Mario García-Valdez JJ Merelo Towards the design and implementation of optimization networks in HeuristicLab Johannes Karder Stefan Wagner Andreas Beham Michael Kommenda Michael Affenzeller flaccogui: exploratory landscape analysis for everyone Christian Hanster Pascal Kerschke ECJ then and now Sean Luke Multijob: a framework for efficient distribution of evolutionary algorithms for parameter tuning Robin Mueller-Bady Martin Kappes Lukas Atkinson Inmaculada Medina-Bulo Design and architecture of the jMetaISP framework Antonio J. Nebro Cristóbal Barba-González José García Nieto José A. Cordero José F. Aldana Montes MYRA: a Java ant colony optimization framework for classification algorithms Fernando E. B. Otero PyshGP: PushGP in Python Edward Pantridge Lee Spector Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform Pasquale Salza Erik Hemberg Filomena Ferrucci Una-May O'Reilly WORKSHOP SESSION: Evolutionary methods for smart grid applications Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0 W. Jakob J. Á. González Ordiano N. Ludwig R. Mikut V. Hagenmeyer Differential evolution strategies for large-scale energy resource management in smart grids Fernando Lezama Luis Enrique Sucar Enrique Munoz de Cote João Soares Zita Vale Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch Karl Mason Jim Duggan Enda Howley Restoration of power distribution networks: a fast evolutionary approach based on practical perspectives Carlos E. R. Nogueira Wallace C. Boaventura Ricardo H. C. Takahashi Eduardo G. Carrano Optimizing booster stations Jonas B. Weber Ulf Lorenz WORKSHOP SESSION: 2nd workshop on industrial applications of metaheuristics Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study Doğan Aydin Gürcan Yavuz Serdar Özyön Celal Yaşar Thomas Stützle Multiobjective discovery of human-like driving strategies Erik Dovgan Jaka Sodnik Ivan Bratko Bogdan Filipič Identifying a robust waste heat recovery system for varying hot water temperature demand Maizura Mokhtar Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem Neil Urquhart WORKSHOP SESSION: 20th international workshop on evolutionary rule-based machine learning Classifier systems with native fuzzy logic control operation Nugroho Fredivianus Kurt Geihs Toward curious learning classifier systems: combining XCS with active learning concepts Anthony Stein Roland Maier Jörg Hähner WORKSHOP SESSION: Medical applications of genetic and evolutionary computation A comparative study of the EEG signals big optimization problem using evolutionary, swarm and memetic computation algorithms M. A. El Majdouli S. Bougrine I. Rbouh A. A. El Imrani Going through directional changes: evolving human movement classifiers using an event based encoding Michael A. Lones Jane E. Alty Jeremy Cosgrove Stuart Jamieson Stephen L. Smith Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms Ngoc Hoang Luong Anton Bouter Marjolein C. van der Meer Yury Niatsetski Cees Witteveen Arjan Bel Tanja Alderliesten Peter A. N. Bosman Evolutionary learning-based modeling for warfarin dose prediction in Chinese Yanyun Tao Yuzhen Zhang Bin Jiang Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation Jose Manuel Velasco Oscar Garnica Sergio Contador Marta Botella Juan Lanchares J. Ignacio Hidalgo WORKSHOP SESSION: Student workshop On binary unbiased operators returning multiple offspring Nina Bulanova Maxim Buzdalov Variable selection as a non-completely decomposable problem: a case study in multivariate calibration Lauro C. M. de Paula Anderson S. Soares Telma W. Soares Clarimar J. Coelho Genetic programming meets linear algebra: how genetic programming can be used to find improved iterative numerical methods Reza Gholami Mahmoodabadi Harald Köstler Hierarchical surrogate modeling for illumination algorithms Alexander Hagg Optimization networks for real-world production and logistics problems Viktoria A. Hauder Andreas Beham Stefan Wagner Michael Affenzeller Amplitude-oriented mixed-type CGP classification Karlo Knezevic Stjepan Picek Julian F. Miller Evaluation of a genetic representation for outline shapes P. Lapok A. Lawson B. Paechter Evaluation of heavy-tailed mutation operator on maximum flow test generation problem Vladimir Mironovich Maxim Buzdalov Econometric genetic programming outperforms traditional econometric algorithms for regression tasks André Luiz Farias Novaes Ricardo Tanscheit Douglas Mota Dias An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity Evgenia Papavasileiou Bart Jansen Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution Irina Petrova Arina Buzdalova Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions Mudita Sharma Dimitar Kazakov Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem Xueming Yan Zhifeng Hao Han Huang Hongyue Wu WORKSHOP SESSION: Genetic and evolutionary computation in defense, security and risk management Return-oriented programme evolution with ROPER: a proof of concept Olivia Lucca Fraser Nur Zincir-Heywood Malcolm Heywood John T. Jacobs Investigating coevolutionary archive based genetic algorithms on cyber defense networks Dennis Garcia Anthony Erb Lugo Erik Hemberg Una-May O'Reilly Administrating role-based access control by genetic algorithms Igor Saenko Igor Kotenko WORKSHOP SESSION: Landscape-aware heuristic search Instance-based algorithm selection on quadratic assignment problem landscapes Andreas Beham Michael Affenzeller Stefan Wagner Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics Joel Lehman Exploiting active subspaces in global optimization: how complex is your problem? Pramudita Satria Palar Koji Shimoyama The effect of landscape funnels in QAPLIB instances Sarah L. Thomson Gabriela Ochoa Fabio Daolio Nadarajen Veerapen WORKSHOP SESSION: Genetic improvement workshop Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept Mahmoud A. Bokhari Bobby R. Bruce Brad Alexander Markus Wagner From problem landscapes to language landscapes: questions in genetic improvement Brendan Cody-Kenny Michael Fenton Michael O'Neill Gaining insights into road traffic data through genetic improvement Anikó Ekárt Alina Patelli Victoria Lush Elisabeth Ilie-Zudor Fixing bugs in your sleep: how genetic improvement became an overnight success Saemundur O. Haraldsson John R. Woodward Alexander E. I. Brownlee Kristin Siggeirsdottir Genetic improvement of runtime and its fitness landscape in a bioinformatics application Saemundur O. Haraldsson John R. Woodward Alexander E. I. Brownlee Albert V. Smith Vilmundur Gudnason Learning from super-mutants: searching post-apocalyptic software ecosystems for novel semantics-preserving transforms Jason Landsborough Stephen Harding Sunny Fugate Improving SSE parallel code with grow and graft genetic programming William B. Langdon Ronny Lorenz Evolving software building blocks with FINCH Michael Orlov New operators for non-functional genetic improvement Justyna Petke Modelling genetic improvement landscapes with local optima networks Nadarajen Veerapen Fabio Daolio Gabriela Ochoa GI in no time David R. White Embedding genetic improvement into programming languages Shin Yoo WORKSHOP SESSION: Measuring and promoting diversity in evolutionary algorithms Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants Michael Affenzeller Stephan M. Winkler Bogdan Burlacu Gabriel Kronberger Michael Kommenda Stefan Wagner A simple bucketing based approach to diversity maintenance Amit Benbassat Yuri Shafet A multi-objective decomposition-based evolutionary algorithm with enhanced variable space diversity control Joel Chacón Castillo Carlos Segura Arturo Hernández Aguirre Gara Miranda Coromoto León Genealogical distance as a diversity estimate in evolutionary algorithms Thomas Gabor Lenz Belzner A comparison of illumination algorithms in unbounded spaces Vassilis Vassiliades Konstantinos Chatzilygeroudis Jean-Baptiste Mouret WORKSHOP SESSION: New standards for benchmarking in evolutionary computation research Generating custom classification datasets by targeting the instance space Mario A. Muñoz Kate Smith-Miles On the difficulty of benchmarking inductive program synthesis methods Edward Pantridge Thomas Helmuth Nicholas Freitag McPhee Lee Spector CryptoBench: benchmarking evolutionary algorithms with cryptographic problems Stjepan Picek Domagoj Jakobovic Una-May O'Reilly Performance testing of automated modeling for industrial applications Dylan Sherry Michael Schmidt WORKSHOP SESSION: Workshop on surrogate-assisted evolutionary optimisation A surrogate-based evolutionary algorithm for highly constrained design problems Charlotte Beauthier Paul Beaucaire Caroline Sainvitu Bayesian optimization approach of general bi-level problems Emmanuel Kieffer Grégoire Danoy Pascal Bouvry Anass Nagih Overview of surrogate-model versions of covariance matrix adaptation evolution strategy Zbyněk Pitra Lukáš Bajer Jakub Repický Martin Holeňa Enabling high-dimensional surrogate-assisted optimization by using sliding windows Bernhard Werth Erik Pitzer Michael Affenzeller WORKSHOP SESSION: Evolutionary computation in computational biology Toward self-adapting computation in cells: building spiking neural network with cell signaling pathways Katherine H. Chiang Optimisation and landscape analysis of computational biology models: a case study Kevin Doherty Khulood Alyahya Ozgur E. Akman Jonathan E. Fieldsend On heuristic bias in fragment-assembly methods for protein structure prediction Julia Handl Mario Garza-Fabre Shaun Kandathil Simon C. Lovell Genetic improvement of computational biology software William B. Langdon Karina Zile Identification of robust strain designs via tandem pFBA/LMOMA phenotype prediction Paulo Maia Isabel Rocha Miguel Rocha An evolutionary algorithm to model structural excursions of a protein Emmanuel Sapin Kenneth De Jong Amarda Shehu A protein folding model using the face-centered cubic lattice model Daniel Varela José Santos WORKSHOP SESSION: Second workshop on evolving collective behaviors in robotics Evolving robot swarm behaviors by minimizing surprise: results of simulations in 2-d on a Torus Richard Borkowski Heiko Hamann Phylogeny of embodied evolutionary robotics Amine Boumaza Benefits of proportionate selection in embodied evolution: a case study with behavioural specialization Nicolas Bredeche Jean-Marc Montanier Simon Carrignon Incorporating user feedback in embodied evolution Micha Kemeling Evert Haasdijk Validation of a learning and evolving robot swarm Rasmus Munk Emma Hart Ben Paechter WORKSHOP SESSION: Visualisation methods in genetic and evolutionary computation Interactive tool for analyzing multiobjective optimization results with level diagrams Xavier Blasco Juan Manuel Herrero Gilberto Reynoso-Meza Miguel A. Martínez Iranzo Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection Anton Bouter Kleopatra Pirpinia Tanja Alderliesten Peter A. N. Bosman The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity Eric Medvet Tea Tušar On the role of aesthetics in genetic algorithms applied to graph drawing Evgheni Polisciuc António Cruz Penousal Machado Joel P. Arrais WORKSHOP SESSION: Exploration of inaccessible environments through hardware/software co-evolution Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization Ahmed Hallawa Stephan Schlupkothen Giovanni Iacca Gerd Ascheid Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents Ahmed Hallawa Jaro De Roose Martin Andraud Marian Verhelst Gerd Ascheid Acquiring moving skills in robots with evolvable morphologies: recent results and outlook Milan Jelisavcic Evert Haasdijk A. E. Eiben SESSION: Black box optimization benchmarking 2017 Self-adaptive search equation-based artificial bee colony algorithm with CMA-ES on the noiseless BBOB testbed Doğan Aydin Gürcan Yavuz Benchmarking a pool-based execution with GA and PSO workers on the BBOB noiseless testbed Mario García-Valdez J J Merelo Benchmarking CMAES-APOP on the BBOB noiseless testbed Duc Manh Nguyen Nikolaus Hansen Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy Zbyněk Pitra Lukáš Bajer Jakub Repický Martin Holeňa Benchmarking the SMS-EMOA with self-adaptation on the bbob-biobj test suite Simon Wessing Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed Takahiro Yamaguchi Youhei Akimoto WORKSHOP SESSION: Parallel and distributed evolutionary inspired methods Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling Ivanoe De Falco Antonio Della Cioppa Giuseppe A. Trunfio Multi-objective parallel extremal optimization in processor load balancing for distributed programs Ivanoe De Falco Eryk Laskowski Richard Olejnik Umberto Scafuri Ernesto Tarantino Marek Tudruj A distributed framework for cooperation of many-objective evolutionary algorithms Gian Fritsche Aurora Pozo A study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem Tomohiro Harada Keiki Takadama Asynchronous parallel cartesian genetic programming Adam Harter Daniel R. Tauritz William M. Siever Designing bent boolean functions with parallelized linear genetic programming Jakub Husa Roland Dobai Integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time Misaki Kaidan Tomohiro Harada Ruck Thawonmas Island-cellular model differential evolution for large-scale global optimization Rodolfo A. Lopes Alan R. R. de Freitas Parallel optimization of transistor level circuits using cartesian genetic programming Vojtech Mrazek Zdenek Vasicek A distributed implementation using apache spark of a genetic algorithm applied to test data generation Ciprian Paduraru Marius-Constantin Melemciuc Alin Stefanescu Hyper-parameter selection in deep neural networks using parallel particle swarm optimization Pablo Ribalta Lorenzo Jakub Nalepa Luciano Sanchez Ramos José Ranilla Pastor TensorFlow enabled genetic programming Kai Staats Edward Pantridge Marco Cavaglia Iurii Milovanov Arun Aniyan Exploiting diversity in an asynchronous migration model for distributed differential evolution Ivanoe De Falco Antonio Delia Cioppa Umberto Scafuri Ernesto Tarantino A parallel multi-objective cooperative co-evolutionary algorithm with changing variables Biao Xu Yong Zhang Dun-wei Gong Ling Wang SESSION: Hot off the press The unrestricted black-box complexity of jump functions Maxim Buzdalov Benjamin Doerr Mikhail Kever Multilayer optimization of heterogeneous networks using grammatical genetic programming Michael Fenton David Lynch Stepan Kucera Holger Claussen Michael O'Neill On constructing ensembles for combinatorial optimisation Emma Hart Kevin Sim Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems Krzysztof Michalak Effective visualisation of the high-dimensional pareto-optimal solutions Maizura Mokhtar Ian Hunt Stephen Burns Dave Ross Downscaling near-surface atmospheric fields with multi-objective genetic programming Tanja Zerenner Victor Venema Petra Friederichs Clemens Simmer SESSION: Late-breaking abstracts A novel iterative improvement pivoting rule for local search heuristics Saad Bougrine Mohammed Amine El Majdouli Abdelhakim Ameur El Imrani An approach of satellite periodic continuous observation task scheduling based on evolutionary computation Hao. Chen Chun. Du Jun. Li Ning. Jing Lingfeng. Wang BBIOS: a characterization of evolutionary algorithm stability Matthew J. Craven Simon P. Martin Exploring the (efficient) frontiers of portfolio optimization Matthew J. Craven David I. Graham Optimizing LSTM RNNs using ACO to predict turbine engine vibration AbdElRahman ElSaid Brandon Wild Fatima El Jamiy James Higgins Travis Desell Social trends in the iterated prisoner's dilemma Jessica Finocchiaro H. David Mathias Solving order/degree problems by using EDA-GK H. Handa R. Hasegawa A bi-objective memetic algorithm proposal for solving the minimum sum coloring problem Olfa Harrabi Ezzeddine Fatnassi Hend Bouziri Jouhaina Chaouachi Solving a large sudoku by co-evolving numerals Jeffrey Horn Multi-document summarization using evolutionary multi-objective optimization Chihoon Jung Rituparna Datta Aviv Segev Discovering weekly seasonality for water demand prediction using evolutionary algorithms Piotr Lipinski Patryk Filipiak Pawel Rychlikowski Justyna Stanczyk Joanna Kajewska-Szkudlarek Janusz Lomotowski Tomasz Konieczny Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems Minami Miyakawa Hiroyuki Sato Yuji Sato Melody composition using geometric crossover for variable-length encoding Yong-Wook Nam Yong-Hyuk Kim Evaluating island-based EAs on unstable networks with complex failure patterns Rafael Nogueras Carlos Cotta An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems Zhigang Ren An Chen Lin Wang Yongsheng Liang Bei Pang Optimization of solid waste collection: two ACO approaches E. A. Mancera-Galván Beatriz A. Garro K. Rodríguez-Vázquez General aspect-based selection concept for multi- and many-objective molecular optimization Susanne Rosenthal Markus Borschbach Hierarchical pattern mining based on swarm intelligence Kazuaki Tsuboi Satoshi Suga Satoshi Kurihara
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library