GECCO '17- Proceedings of the Genetic and Evolutionary Computation Conference GECCO '17- Proceedings of the Genetic and Evolutionary Computation Conference Full Citation in the ACM Digital Library SESSION: Keynote talks Computational approaches in cancer genomics Francesca Ciccarelli Curious and creative machines Hod Lipson Evolving brains in evolving environments Drew Purves Chrisantha Fernando SESSION: Ant colony optimization and swarm intelligence CycloAnt: sequencing cyclic peptides using hybrid ants Sujata Baral Swakkhar Shatabda Mahmood A Rashid Fitness-distance-ratio particle swarm optimization: stability analysis Christopher W Cleghorn Andries P Engelbrecht Analysis of independent roulette selection in parallel ant colony optimization Huw Lloyd Martyn Amos Coordinating a team of searchers: of ants, swarms, and slime molds Silja Meyer-Nieberg A multi-UAV minimum time search planner based on ACOR Sara Perez-Carabaza Julian Bermudez-Ortega Eva Besada-Portas Jose A. Lopez-Orozco Jesus M. de la Cruz Estimating stop conditions of swarm based stochastic metaheuristic algorithms Peter Frank Perroni Daniel Weingaertner Myriam Regattieri Delgado PSO-based parameters selection for the bilateral filter in image denoising Chengyan Wang Bing Xue Lin Shang SESSION: Complex systems (artificial life/artificial immune systems/robotics/evolvable hardware/generative and developmental systems) Evolutionary optimization of self-assembly in a swarm of bio-micro-robots Nathanael Aubert-Kato Charles Fosseprez Guillaume Gines Ibuki Kawamata Huy Dinh Leo Cazenille Andre Estevez-Tores Masami Hagiya Yannick Rondelez Nicolas Bredeche Minimal criterion coevolution: a new approach to open-ended search Jonathan C. Brant Kenneth O. Stanley On the runtime analysis of the opt-IA artificial immune system Dogan Corus Pietro S. Oliveto Donya Yazdani A comparison of genetic regulatory network dynamics and encoding Jean Disset Dennis G Wilson Sylvain Cussat-Blanc Stéphane Sanchez Hervé Luga Yves Duthen Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination Adam Gaier Alexander Asteroth Jean-Baptiste Mouret Coupling novelty and surprise for evolutionary divergence Daniele Gravina Antonios Liapis Georgios N. Yannakakis Alternate social theory discovery using genetic programming: towards better understanding the artificial anasazi Chathika Gunaratne Ivan Garibay On self-adaptive rate restarts for evolutionary robotics with real rotorcraft Gerard David Howard A minimal developmental model can increase evolvability in soft robots Sam Kriegman Nick Cheney Francesco Corucci Josh C. Bongard Discovering evolutionary stepping stones through behavior domination Elliot Meyerson Risto Miikkulainen Effect of animat complexity on the evolution of hierarchical control Jared M. Moore Anthony J. Clark Philip K. McKinley An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics Andreas Steyven Emma Hart Ben Paechter Vascular morphogenesis controller: a generative model for developing morphology of artificial structures Payam Zahadat Daniel Nicolas Hofstadler Thomas Schmickl SESSION: Digital entertainment technologies and arts Evolution of artistic image variants through feature based diversity optimisation Brad Alexander James Kortman Aneta Neumann Comparing direct and indirect encodings using both raw and hand-designed features in tetris Lauren E. Gillespie Gabriela R. Gonzalez Jacob Schrum Continual online evolutionary planning for in-game build order adaptation in StarCraft Niels Justesen Sebastian Risi Multi-task learning in Atari video games with emergent tangled program graphs Stephen Kelly Malcolm I. Heywood Multi-segment evolution of dungeon game levels Antonios Liapis Can you feel it?: evaluation of affective expression in music generated by MetaCompose Marco Scirea Peter Eklund Julian Togelius Sebastian Risi SESSION: Evolutionary combinatorial optimization and metaheuristics Parameter-less late acceptance hill-climbing Mosab Bazargani Fernando G. Lobo Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem Aymeric Blot Laetitia Jourdan Marie-Éléonore Kessaci Approximating optimization problems using EAs on scale-free networks Ankit Chauhan Tobias Friedrich Francesco Quinzan Configuring irace using surrogate configuration benchmarks Nguyen Dang Leslie Pérez Cáceres Patrick De Causmaecker Thomas Stützle Hybrid metaheuristic for combinatorial optimization based on immune network for optimization and VNS Rodney O. M. Diana Sérgio R. de Souza Elizabeth F. Wanner Moacir F. França Filho Community structure detection in multipartite networks: a new fitness measure Noémi Gaskó Florentin Bota Mihai Suciu Rodica Ioana Lung Shaping communities of local optima by perturbation strength Sebastian Herrmann Matthias Herrmann Gabriela Ochoa Franz Rothlauf Multimodal truss structure design using bilevel and niching based evolutionary algorithms Md. Jakirul Islam Xiaodong Li Kalyanmoy Deb Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty Deepak Karunakaran Yi Mei Gang Chen Mengjie Zhang Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem Yuxin Liu Yi Mei Mengjie Zhang Zili Zhang Combining two local searches with crossover: an efficient hybrid algorithm for the traveling salesman problem Weichen Liu Thomas Weise Yuezhong Wu Qi Qi Evolutionary algorithms for the design of orthogonal latin squares based on cellular automata Luca Mariot Stjepan Picek Domagoj Jakobovic Alberto Leporati Heuristic rope team: a parallel algorithm for graph coloring Laurent Moalic Alexandre Gondran Just-in-time batch scheduling problem with two-dimensional bin packing constraints Sergey Polyakovskiy Alexander Makarowsky Rym M'Hallah Building a better heuristic for the traveling salesman problem: combining edge assembly crossover and partition crossover Danilo Sanches Darrell Whitley Renato Tinós Improving an exact solver for the traveling salesman problem using partition crossover Danilo Sanches Darrell Whitley Renato Tinós Distributed evolutionary k-way node separators Peter Sanders Christian Schulz Darren Strash Robert Williger Fragment-based genetic programming for fully automated multi-objective web service composition Alexandre Sawczuk da Silva Yi Mei Hui Ma Mengjie Zhang On feasible and infeasible search for equitable graph coloring Wen Sun Jin-Kao Hao Xiangjing Lai Qinghua Wu Comparing communities of optima with funnels in combinatorial fitness landscapes Sarah L. Thomson Fabio Daolio Gabriela Ochoa SESSION: Evolutionary machine learning Feature selection using stochastic diffusion search Haya Alhakbani Mohammad Majid al-Rifaie Sensitivity-like analysis for feature selection in genetic programming Grant Dick PAC models in stochastic multi-objective multi-armed bandits Madalina M. Drugan Biogeography-based rule mining for classification Effat Farhana Steffen Heber Evolving parsimonious networks by mixing activation functions Alexander Hagg Maximilian Mensing Alexander Asteroth Automatic design of ant-miner mixed attributes for classification rule discovery Ayah Helal Fernando E. B. Otero Evolving memory-augmented neural architecture for deep memory problems Shauharda Khadka Jen Jen Chung Kagan Tumer GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach Andrew Lensen Bing Xue Mengjie Zhang Accelerating coevolution with adaptive matrix factorization Paweł Liskowski Wojciech Jaśkowski Neuroevolution on the edge of chaos Filip Matzner Theoretical XCS parameter settings of learning accurate classifiers Masaya Nakata Will Browne Tomoki Hamagami Keiki Takadama Particle swarm optimization for hyper-parameter selection in deep neural networks Pablo Ribalta Lorenzo Jakub Nalepa Michal Kawulok Luciano Sanchez Ramos José Ranilla Pastor Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming Andrew Sohn Randal S. Olson Jason H. Moore A genetic programming approach to designing convolutional neural network architectures Masanori Suganuma Shinichi Shirakawa Tomoharu Nagao Automatic adjustment of selection pressure based on range of reward in learning classifier system Takato Tatsumi Hiroyuki Sato Keiki Takadama An evolutionary algorithm for discovering multi-relational association rules in the semantic web Minh Duc Tran Claudia d'Amato Binh Thanh Nguyen Andrea G. B. Tettamanzi Multiple imputation and genetic programming for classification with incomplete data Cao Truong Tran Mengjie Zhang Peter Andreae Bing Xue Solving test case based problems with fuzzy dominance Jason Zutty Gregory Rohling SESSION: Evolutionary multiobjective optimization The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm Anton Bouter Ngoc Hoang Luong Cees Witteveen Tanja Alderliesten Peter A. N. Bosman Multimodal scalarized preferences in multi-objective optimization Marlon Braun Lars Heling Pradyumn Shukla Hartmut Schmeck Speeding up evolutionary multi-objective optimisation through diversity-based parent selection Edgar Covantes Osuna Wanru Gao Frank Neumann Dirk Sudholt On the importance of isolated solutions in constrained decomposition-based many-objective optimization Maha Elarbi Slim Bechikh Lamjed Ben Said Robust multiobjective optimization using regression models and linear subproblems Fillipe Goulart Sílvio T. Borges Fernanda C. Takahashi Felipe Campelo A hyper-heuristic of scalarizing functions Raquel Hernández Gómez Carlos A. Coello Coello Reference point specification in hypervolume calculation for fair comparison and efficient search Hisao Ishibuchi Ryo Imada Yu Setoguchi Yusuke Nojima Progressively adding objectives: a case study in anomaly detection Luis Martí Arsene Fansi-Tchango Laurent Navarro Marc Schoenauer Simulation-based crossover for the firefighter problem Krzysztof Michalak Closed state model for understanding the dynamics of MOEAs Hugo Monzón Hernán Aguirre Sébastien Verel Arnaud Liefooghe Bilel Derbel Kiyoshi Tanaka Multiobjective data mining from solutions by evolutionary multiobjective optimization Yusuke Nojima Yuki Tanigaki Hisao Ishibuchi Metamodeling for multimodal selection functions in evolutionary multi-objective optimization Proteek Roy Rayan Hussein Kalyanmoy Deb Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive Ryoji Tanabe Akira Oyama Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression Mengyuan Wu Sam Kwong Yuheng Jia Ke Li Qingfu Zhang Improved incremental non-dominated sorting for steady-state evolutionary multiobjective optimization Ilya Yakupov Maxim Buzdalov SESSION: Evolutionary numerical optimization Deriving and improving CMA-ES with information geometric trust regions Abbas Abdolmaleki Bob Price Nuno Lau Luis Paulo Reis Gerhard Neumann Reconsidering constraint release for active-set evolution strategies Dirk V. Arnold Constraint handling in efficient global optimization Samineh Bagheri Wolfgang Konen Richard Allmendinger Jürgen Branke Kalyanmoy Deb Jonathan Fieldsend Domenico Quagliarella Karthik Sindhya Per instance algorithm configuration of CMA-ES with limited budget Nacim Belkhir Johann Dréo Pierre Savéant Marc Schoenauer Analysis of the pcCMSA-ES on the noisy ellipsoid model Hans-Georg Beyer Michael Hellwig A cooperative co-evolutionary algorithm for solving large-scale constrained problems with interaction detection Julien Blanchard Charlotte Beauthier Timoteo Carletti Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm Anton Bouter Tanja Alderliesten Cees Witteveen Peter A. N. Bosman Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning S. C. Maree T. Alderliesten D. Thierens P. A. N. Bosman Effect of the mean vector learning rate in CMA-ES Hidekazu Miyazawa Youhei Akimoto TPAM: a simulation-based model for quantitatively analyzing parameter adaptation methods Ryoji Tanabe Alex Fukunaga Algorithm configuration data mining for CMA evolution strategies Sander van Rijn Hao Wang Bas van Stein Thomas Bäck SESSION: Genetic algorithms Two-edge graphical linkage model for DSMGA-II Ping-Lin Chen Chun-Jen Peng Chang-Yi Lu Tian-Li Yu Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search Francisco Chicano Darrell Whitley Gabriela Ochoa Renato Tinós Genetic algorithm for epidemic mitigation by removing relationships Fernando Concatto Wellington Zunino Luigi A. Giancoli Rafael Santiago Luís C. Lamb The role of crossover operator in bayesian network structure learning performance: a comprehensive comparative study and new insights Carlo Contaldi Fatemeh Vafaee Peter C. Nelson Fast genetic algorithms Benjamin Doerr Huu Phuoc Le Régis Makhmara Ta Duy Nguyen Real-polarized genetic algorithm for the three-dimensional bin packing problem André Homem Dornas Flávio Vinícius Cruzeiro Martins João Fernando Machry Sarubbi Elizabeth Fialho Wanner A genetic algorithm for fair land allocation Alex Gliesch Marcus Ritt Mayron C. O. Moreira Automatic generation of domain-specific genetic algorithm operators using the hierarchical bayesian optimization algorithm Cezary Z Janikow Mark Hauschild Speeding up DSMGA-II on CUDA platform Sung-Chi Li Tian-Li Yu Evolutionary image composition using feature covariance matrices Aneta Neumann Zygmunt L. Szpak Wojciech Chojnacki Frank Neumann Different scenarios for survival analysis of evolutionary algorithms Roberto Santana Jose A. Lozano EGAC: a genetic algorithm to compare chemical reaction networks Stefano Tognazzi Mirco Tribastone Max Tschaikowski Andrea Vandin A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty Jheng-Ying Yu I-Ting Chen Tian-Li Yu SESSION: General evolutionary computation and hybrids On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation Andrei Lissovoi Pietro S. Oliveto John Alasdair Warwicker Theoretical results on bet-and-run as an initialisation strategy Andrei Lissovoi Dirk Sudholt Markus Wagner Christine Zarges Parallel evolutionary algorithm with interleaving generations Martin Pilát Roman Neruda Alternative infill strategies for expensive multi-objective optimisation Alma A. M. Rahat Richard M. Everson Jonathan E. Fieldsend Investigating uncertainty propagation in surrogate-assisted evolutionary algorithms Vanessa Volz Günter Rudolph Boris Naujoks Time complexity reduction in efficient global optimization using cluster kriging Hao Wang Bas van Stein Michael Emmerich Thomas Bäck Reexpressing problematic optimization data: creating a workflow for the statistical analysis of multifactorial EC experiments Mark Wineberg Sebastian Lenartowicz Simulation-based test functions for optimization algorithms Martin Zaefferer Andreas Fischbach Boris Naujoks Thomas Bartz-Beielstein SESSION: Genetic programming Self-adaptation of genetic operators through genetic programming techniques Andres Felipe Cruz-Salinas Jonatan Gomez Perdomo Bounding bloat in genetic programming Benjamin Doerr Timo Kötzing J. A. Gregor Lagodzinski Johannes Lengler Unsure when to stop?: ask your semantic neighbors Ivo Gonçalves Sara Silva Carlos M. Fonseca Mauro Castelli Improving generalization of evolved programs through automatic simplification Thomas Helmuth Nicholas Freitag McPhee Edward Pantridge Lee Spector Properties of a GP active learning framework for streaming data with class imbalance Sara Khanchi Malcolm I. Heywood A. Nur Zincir-Heywood Counterexample-driven genetic programming Krzysztof Krawiec Iwo Błądek Jerry Swan Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods William La Cava Jason H. Moore Discovery of search objectives in continuous domains Paweł Liskowski Krzysztof Krawiec Evolvability in grammatical evolution Eric Medvet Fabio Daolio Danny Tagliapietra How noisy data affects geometric semantic genetic programming Luis F. Miranda Luiz Otavio V. B. Oliveira Joao Francisco B. S. Martins Gisele L. Pappa Geometric semantic genetic programming for recursive boolean programs Alberto Moraglio Krzysztof Krawiec Combining conformal prediction and genetic programming for symbolic interval regression Pham Thi Thuong Nguyen Xuan Hoai Xin Yao Coevolving deep hierarchies of programs to solve complex tasks Robert J. Smith Malcolm I. Heywood A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems Léo Françoso Dal Piccol Sotto Vinícius Veloso de Melo A hybrid genetic programming decision making system for RoboCup soccer simulation Amir Tavafi Wolfgang Banzhaf Genetic programming based feature construction for classification with incomplete data Cao Truong Tran Mengjie Zhang Peter Andreae Bing Xue Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning Marco Virgolin Tanja Alderliesten Cees Witteveen Peter A. N. Bosman SESSION: Real world applications An embedded system architecture based on genetic algorithms for mission and safety planning with UAV Jesimar da Silva Arantes Márcio da Silva Arantes Claudio Fabiano Motta Toledo Onofre Trindade Júnior Brian C. Williams Multi-objective optimization of level of service in urban transportation Rolando Armas Hernan Aguirre Kiyoshi Tanaka Handling practicalities in agricultural policy optimization for water quality improvements Brad Barnhart Zhichao Lu Moriah Bostian Ankur Sinha Kalyanmoy Deb Luba Kurkalova Manoj Jha Gerald Whittaker Optimizing the decomposition of time series using evolutionary algorithms: soil moisture analytics Aniruddha Basak Ole J. Mengshoel Chinmay Kulkarni Kevin Schmidt Prathi Shastry Rao Rapeta Protein design by multiobjective optimization: evolutionary and non-evolutionary approaches Sandeep V. Belure Ofer M. Shir Vikas Nanda Evolving a real-time evacuation for urban disaster management Keith J. Drew Robert B. Heckendorn Ahmed Abdel-Rahim Homaja Pydi Kumar Marisetty Anton Stalick University staff teaching allocation: formulating and optimising a many-objective problem Jonathan E. Fieldsend Monopolies can exist in unmanned airspace Scott Forer Logan Yliniemi The evolution of neural network-based chart patterns: a preliminary study Myoung Hoon Ha Byung-Ro Moon A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector Emma Hart Kevin Sim Barry Gardiner Kana Kamimura Searching for nonlinear relationships in fMRI data with symbolic regression James Alexander Hughes Mark Daley Towards solving large-scale precedence constrained production scheduling problems in mining Angus Kenny Xiaodong Li Andreas T. Ernst Dhananjay Thiruvady Optimizing nucleic acid sequences for a molecular data recorder Jerzy Kozyra Harold Fellermann Ben Shirt-Ediss Annunziata Lopiccolo Natalio Krasnogor Automatic generation of optimal quantum key distribution protocols Walter O. Krawec Michael G. Nelson Eric P. Geiss Accurate mixed weibull distribution fitting by differential evolution Pavel Krömer Jana Heckenbergerová Petr Musilek Solving structures of pigment-protein complexes as inverse optimization problems using decomposition Yigal Lahav Ofer M. Shir Dror Noy Evolutionary approach to optimization of data representation for classification of patterns in financial ultra-high frequency time series Piotr Lipinski Solving a supply-chain management problem using a bilevel approach Zhichao Lu Kalyanmoy Deb Erik Goodman John Wassick Conversion rate optimization through evolutionary computation Risto Miikkulainen Neil Iscoe Aaron Shagrin Ron Cordell Sam Nazari Cory Schoolland Myles Brundage Jonathan Epstein Randy Dean Gurmeet Lamba Optimization of monitoring in dynamic communication networks using a hybrid evolutionary algorithm Robin Mueller-Bady Martin Kappes Inmaculada Medina-Bulo Francisco Palomo-Lozano Enhanced genetic path planning for autonomous flight Vincent R. Ragusa H. David Mathias Vera A. Kazakova Annie S. Wu A knee point based evolutionary multi-objective optimization for mission planning problems Cristian Ramirez-Atencia Sanaz Mostaghim David Camacho Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm Krzysztof L. Sadowski Marjolein C. van der Meer Ngoc Hoang Luong Tanja Alderliesten Dirk Thierens Rob van der Laarse Yury Niatsetski Arjan Bel Peter A. N. Bosman An adaptive prioritized ε-preferred evolutionary algorithm for approximate BDD optimization Saeideh Shirinzadeh Mathias Soeken Daniel Große Rolf Drechsler Computing new optimized routes for GPS navigators using evolutionary algorithms Daniel H. Stolfi Enrique Alba Fast pedestrian detection using multimodal estimation of distribution algorithms Da-Zhao Tan Wei-Neng Chen Jun Zhang Wei-Jie Yu Heuristic allocation of computational resources Silviu Tofan Richard Allmendinger Manuela Zanda Olly Stephens Evolving solution choice and decision support for a real-world optimisation problem Neil Urquhart Achille Fonzone Evolutionary decomposition for 3D printing Eric A. Yu Jin Yeom Cem C. Tutum Etienne Vouga Risto Miikkulainen SESSION: Search-based software engineering A search for improved performance in regular expressions Brendan Cody-Kenny Michael Fenton Adrian Ronayne Eoghan Considine Thomas McGuire Michael O'Neill A penalty-based Tabu search for constrained covering arrays Philippe Galinier Segla Kpodjedo Giulio Antoniol Empirical evaluation of conditional operators in GP based fault localization Dahyun Kang Jeongju Sohn Shin Yoo A context-based refactoring recommendation approach using simulated annealing: two industrial case studies Marouane Kessentini Troh Josselin Dea Ali Ouni Multi-objective black-box test case selection for system testing Remo Lachmann Michael Felderer Manuel Nieke Sandro Schulze Christoph Seidl Ina Schaefer Mining cross product line rules with multi-objective search and machine learning Safdar Aqeel Safdar Hong Lu Tao Yue Shaukat Ali Active coevolutionary learning of requirements specifications from examples Marcel Wever Lorijn van Rooijen Heiko Hamann An adaptive fitness function based on branch hardness for search based testing Xiong Xu Ziming Zhu Li Jiao SESSION: Theory Runtime analysis of the (1 + (λ, λ)) genetic algorithm on random satisfiable 3-CNF formulas Maxim Buzdalov Benjamin Doerr The (1+λ) evolutionary algorithm with self-adjusting mutation rate Benjamin Doerr Christian Gießen Carsten Witt Jing Yang Island models meet rumor spreading Benjamin Doerr Philipp Fischbeck Clemens Frahnow Tobias Friedrich Timo Kötzing Martin Schirneck Unknown solution length problems with no asymptotically optimal run time Benjamin Doerr Carola Doerr Timo Kötzing Sorting by swaps with noisy comparisons Tomáš Gavenčiak Barbara Geissmann Johannes Lengler Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentration Per Kristian Lehre Phan Trung Hai Nguyen When is it beneficial to reject improvements? Samadhi Nallaperuma Pietro S. Oliveto Jorge Pérez Heredia Dirk Sudholt Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise Chao Qian Chao Bian Wu Jiang Ke Tang Reoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraints Feng Shi Martin Schirneck Tobias Friedrich Timo Kötzing Frank Neumann Upper bounds on the runtime of the univariate marginal distribution algorithm on onemax Carsten Witt
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library
Full Citation in the ACM Digital Library