GECCO - RankMe

150 papers

Year	Title / Authors
2020	A biased random key genetic algorithm applied to the VRPTW with skill requirements and synchronization constraints. Alberto Francisco Kummer Neto, Luciana S. Buriol, Olinto César Bassi de Araújo
2020	A deep learning approach to predicting solutions in streaming optimisation domains. Mohamad Alissa, Kevin Sim, Emma Hart
2020	A genetic programming approach to feature construction for ensemble learning in skin cancer detection. Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2020	A memetic level-based learning swarm optimizer for large-scale water distribution network optimization. Ya-Hui Jia, Yi Mei, Mengjie Zhang
2020	A modular memory framework for time series prediction. Stephen Kelly, Jacob Newsted, Wolfgang Banzhaf, Cedric Gondro
2020	A multiobjective optimization approach for market timing. Ismail Mohamed, Fernando E. B. Otero
2020	A robust experimental evaluation of automated multi-label classification methods. Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele Lobo Pappa, Alex Alves Freitas
2020	A study on graph representations for genetic programming. Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp
2020	A surrogate-assisted metaheuristic for bilevel optimization. Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes
2020	A tight lower bound on the expected runtime of standard steady state genetic algorithms. Pietro S. Oliveto, Dirk Sudholt, Carsten Witt
2020	A weighted population update rule for PACO applied to the single machine total weighted tardiness problem. Daniel Abitz, Tom Hartmann, Martin Middendorf
2020	ACO with automatic parameter selection for a scheduling problem with a group cumulative constraint. Lucas Groleaz, Samba Ndojh Ndiaye, Christine Solnon
2020	Absumption and subsumption based learning classifier systems. Yi Liu, Will N. Browne, Bing Xue
2020	Adaptive augmented evolutionary intelligence for the design of water distribution networks. Matthew Barrie Johns, Herman A. Mahmoud, Edward C. Keedwell, Dragan A. Savic
2020	Adaptive weighted splines: a new representation to genetic programming for symbolic regression. Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2020	Adaptively preserving solutions in both feasible and infeasible regions on generalized multiple constraint ranking. Yohanes Bimo Dwianto, Hiroaki Fukumoto, Akira Oyama
2020	Advanced statistical analysis of empirical performance scaling. Yasha Pushak, Holger H. Hoos
2020	Algorithm selection of anytime algorithms. Alexandre D. Jesus, Arnaud Liefooghe, Bilel Derbel, Luís Paquete
2020	An approach to assess swarm intelligence algorithms based on complex networks. Clodomir J. Santana Jr., Edward C. Keedwell, Ronaldo Menezes
2020	An evolutionary optimization algorithm for gradually saturating objective functions. Dolly Sapra, Andy D. Pimentel
2020	An improved GPU-accelerated heuristic technique applied to the capacitated vehicle routing problem. Marwan F. Abdelatti, Manbir Singh Sodhi
2020	Analysis of the performance of algorithm configurators for search heuristics with global mutation operators. George T. Hall, Pietro S. Oliveto, Dirk Sudholt
2020	Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution. Ryoji Tanabe
2020	Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms. Linjun He, Auraham Camacho, Hisao Ishibuchi
2020	AutoLR: an evolutionary approach to learning rate policies. Pedro Carvalho, Nuno Lourenço, Filipe Assunção, Penousal Machado
2020	Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control. Aaron Scott Pope, Daniel R. Tauritz
2020	Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach. Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun
2020	Bivariate estimation-of-distribution algorithms can find an exponential number of optima. Benjamin Doerr, Martin S. Krejca
2020	CMA-ES for one-class constraint synthesis. Marcin Karmelita, Tomasz P. Pawlak
2020	COUGAR: clustering of unknown malware using genetic algorithm routines. Zachary Wilkins, Nur Zincir-Heywood
2020	CPPN2GAN: combining compositional pattern producing networks and GANs for large-scale pattern generation. Jacob Schrum, Vanessa Volz, Sebastian Risi
2020	Causes and effects of fitness landscapes in unit test generation. Nasser M. Albunian, Gordon Fraser, Dirk Sudholt
2020	Code building genetic programming. Edward R. Pantridge, Lee Spector
2020	Comparative mixing for DSMGA-II. Marcin M. Komarnicki, Michal Witold Przewozniczek, Tomasz M. Durda
2020	Computation of the improvement directions of the Pareto front and its application to MOEAs. Salvador Botello-Aceves, Arturo Hernández Aguirre, S. Ivvan Valdez
2020	Constraint handling within MOEA/D through an additional scalarizing function. Saúl Zapotecas Martínez, Antonin Ponsich
2020	Constructing efficient multigrid solvers with genetic programming. Jonas Schmitt, Sebastian Kuckuk, Harald Köstler
2020	Covariance matrix adaptation for the rapid illumination of behavior space. Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis, Amy K. Hoover
2020	DAE-GP: denoising autoencoder LSTM networks as probabilistic models in estimation of distribution genetic programming. David Wittenberg, Franz Rothlauf, Dirk Schweim
2020	Data structures for non-dominated sets: implementations and empirical assessment of two decades of advances. Jonathan E. Fieldsend
2020	Deep generative model for non-convex constraint handling. Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2020	Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka
2020	Discovering representations for black-box optimization. Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2020	Distributed random walks for fitness landscape analysis. Ryan Dieter Lang, Andries P. Engelbrecht
2020	Diversity preservation in minimal criterion coevolution through resource limitation. Jonathan C. Brant, Kenneth O. Stanley
2020	Do sophisticated evolutionary algorithms perform better than simple ones? Michael Foster, Matthew Hughes, George O. O'Brien, Pietro S. Oliveto, James Pyle, Dirk Sudholt, James Williams
2020	Does comma selection help to cope with local optima? Benjamin Doerr
2020	Dynamic bi-objective routing of multiple vehicles. Jakob Bossek, Christian Grimme, Heike Trautmann
2020	Effective reinforcement learning through evolutionary surrogate-assisted prescription. Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
2020	Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms. Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima
2020	Enhancing search-based product line design with crossover operators. Diego Fernandes da Silva, Luiz Fernando Okada, Thelma Elita Colanzi, Wesley K. G. Assunção
2020	Evolution of distributed neural controllers for voxel-based soft robots. Eric Medvet, Alberto Bartoli, Andrea De Lorenzo, Giulio Fidel
2020	Evolutionary bin packing for memory-efficient dataflow inference acceleration on FPGA. Mairin Kroes, Lucian Petrica, Sorin Cotofana, Michaela Blott
2020	Evolutionary optimization of deep learning activation functions. Garrett Bingham, William Macke, Risto Miikkulainen
2020	Evolving David Rushing Dewhurst, Yi Li, Alexander Bogdan, Jasmine Geng
2020	Evolving diverse sets of tours for the travelling salesperson problem. Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann
2020	Evolving energy demand estimation models over macroeconomic indicators. Nuno Lourenço, J. Manuel Colmenar, José Ignacio Hidalgo, Sancho Salcedo-Sanz
2020	Evolving inborn knowledge for fast adaptation in dynamic POMDP problems. Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio
2020	Expected improvement versus predicted value in surrogate-based optimization. Frederik Rehbach, Martin Zaefferer, Boris Naujoks, Thomas Bartz-Beielstein
2020	Exploratory path planning for mobile robots in dynamic environments with ant colony optimization. Valéria de Carvalho Santos, Fernando E. B. Otero, Colin G. Johnson, Fernando Santos Osório, Claudio Fabiano Motta Toledo
2020	Exploring the evolution of GANs through quality diversity. Victor Costa, Nuno Lourenço, João Correia, Penousal Machado
2020	Fast mutation in crossover-based algorithms. Denis Antipov, Maxim Buzdalov, Benjamin Doerr
2020	Feature standardisation and coefficient optimisation for effective symbolic regression. Grant Dick, Caitlin A. Owen, Peter A. Whigham
2020	Fixed-target runtime analysis. Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov
2020	From understanding genetic drift to a smart-restart parameter-less compact genetic algorithm. Benjamin Doerr, Weijie Zheng
2020	GECCO '20: Genetic and Evolutionary Computation Conference, Cancún Mexico, July 8-12, 2020 Carlos Artemio Coello Coello
2020	Gap finding and validation in evolutionary multi- and many-objective optimization. Pablo Valledor Pellicer, Miguel Iglesias Escudero, Silvino Fernández Alzueta, Kalyanmoy Deb
2020	GeneCAI: genetic evolution for acquiring compact AI. Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar
2020	Genetic algorithm for the weight maximization problem on weighted automata. Elena Gutiérrez, Takamasa Okudono, Masaki Waga, Ichiro Hasuo
2020	Genetic algorithms for redundancy in interaction testing. Ryan E. Dougherty
2020	Genetic programming approaches to learning fair classifiers. William G. La Cava, Jason H. Moore
2020	Golden parameter search: exploiting structure to quickly configure parameters in parallel. Yasha Pushak, Holger H. Hoos
2020	Hybrid genetic algorithm for ridesharing with timing constraints: efficiency analysis with real-world data. Nirav Patel, N. S. Narayanaswamy, Alok Joshi
2020	If unsure, shuffle: deductive sort is Θ( Sumit Mishra, Maxim Buzdalov
2020	Impact of NSGA-II objectives on EEG feature selection related to motor imagery. Miguel Leon, Christoffer Parkkila, Jonatan Tidare, Ning Xiong, Elaine Åstrand
2020	Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
2020	Improving generalisation of AutoML systems with dynamic fitness evaluations. Benjamin P. Evans, Bing Xue, Mengjie Zhang
2020	Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
2020	Improving symbolic regression based on correlation between residuals and variables. Qi Chen, Bing Xue, Mengjie Zhang
2020	Initial design strategies and their effects on sequential model-based optimization: an exploratory case study based on BBOB. Jakob Bossek, Carola Doerr, Pascal Kerschke
2020	Integrated vs. sequential approaches for selecting and tuning CMA-ES variants. Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2020	Interactive evolution and exploration within latent level-design space of generative adversarial networks. Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi
2020	Journey to the center of the linear ordering problem. Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2020	Just-in-time batch scheduling subject to batch size. Sergey Polyakovskiy, Dhananjay R. Thiruvady, Rym M'Hallah
2020	Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants. Anja Jankovic, Carola Doerr
2020	Lateralized learning for robustness against adversarial attacks in a visual classification system. Abubakar Siddique, Will N. Browne, Gina M. Grimshaw
2020	Learning behaviour-performance maps with meta-evolution. David M. Bossens, Jean-Baptiste Mouret, Danesh Tarapore
2020	Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm. Anton Bouter, Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman
2020	Model-based optimization with concept drifts. Jakob Richter, Junjie Shi, Jian-Jia Chen, Jörg Rahnenführer, Michel Lang
2020	Modeling wildfire using evolutionary cellular automata. Maxfield E. Green, Todd F. DeLuca, Karl WD. Kaiser
2020	Modelling parameter configuration spaces with local optima networks. German Treimun-Costa, Elizabeth Montero, Gabriela Ochoa, Nicolás Rojas-Morales
2020	More effective randomized search heuristics for graph coloring through dynamic optimization. Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt
2020	Multi-fitness learning for behavior-driven cooperation. Connor Yates, Reid Christopher, Kagan Tumer
2020	Multi-layer heterogeneous ensemble with classifier and feature selection. Tien Thanh Nguyen, Nang Van Pham, Manh Truong Dang, Anh Vu Luong, John McCall, Alan Wee-Chung Liew
2020	Multi-layer local optima networks for the analysis of advanced local search-based algorithms. Marcella S. R. Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders
2020	Multi-objective hyperparameter tuning and feature selection using filter ensembles. Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
2020	Multi-objective optimal distribution of materials in hybrid components. Thomas Gossuin, Didier Garray, Vincent Kelner
2020	Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020	Multiobjective tree-structured parzen estimator for computationally expensive optimization problems. Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi
2020	Neural architecture search for sparse DenseNets with dynamic compression. Damien O'Neill, Bing Xue, Mengjie Zhang
2020	Neuroevolution of self-interpretable agents. Yujin Tang, Duong Nguyen, David Ha
2020	New search operators for node-depth based encoding. Gustavo Post Sabin, Telma Woerle de Lima, Anderson da Silva Soares
2020	Non-deterministic journey planning in multi-modal transportation networks: a meta-heuristic approach. Mohammad Haqqani, Xiaodong Li, Xinghuo Yu
2020	Novelty search for automatic bug repair. Omar M. Villanueva, Leonardo Trujillo, Daniel E. Hernández
2020	Novelty search makes evolvability inevitable. Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx
2020	On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems. Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki
2020	On the choice of the parameter control mechanism in the (1+( Mario Alejandro Hevia Fajardo, Dirk Sudholt
2020	On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization. Michal K. Tomczyk, Milosz Kadzinski
2020	One property to rule them all?: on the limits of trade-offs for S-boxes. Marko Djurasevic, Domagoj Jakobovic, Stjepan Picek
2020	Optimisation of large wave farms using a multi-strategy evolutionary framework. Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
2020	Program synthesis as latent continuous optimization: evolutionary search in neural embeddings. Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu, Jerry Swan
2020	Quality diversity for multi-task optimization. Jean-Baptiste Mouret, Glenn Maguire
2020	Re-purposing heterogeneous generative ensembles with evolutionary computation. Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
2020	Relatedness measures to aid the transfer of building blocks among multiple tasks. Trung B. Nguyen, Will N. Browne, Mengjie Zhang
2020	Runtime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem. Vahid Roostapour, Jakob Bossek, Frank Neumann
2020	Safe crossover of neural networks through neuron alignment. Thomas Uriot, Dario Izzo
2020	Scalability analysis of grammatical evolution based test data generation. Muhammad Sheraz Anjum, Conor Ryan
2020	Scaling MAP-Elites to deep neuroevolution. Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune
2020	Seeding strategies for multi-objective test case selection: an application on simulation-based testing. Aitor Arrieta, Joseba Andoni Agirre, Goiuria Sagardui
2020	Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection. Hang Xu, Bing Xue, Mengjie Zhang
2020	Self-adaptation of XCS learning parameters based on learning theory. Motoki Horiuchi, Masaya Nakata
2020	Self-adjusting evolutionary algorithms for multimodal optimization. Amirhossein Rajabi, Carsten Witt
2020	Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design. David Hodan, Vojtech Mrazek, Zdenek Vasícek
2020	Sensitivity analysis in constrained evolutionary optimization. Julian Schulte, Volker Nissen
2020	Simultaneously searching and solving multiple avoidable collisions for testing autonomous driving systems. Alessandro Calò, Paolo Arcaini, Shaukat Ali, Florian Hauer, Fuyuki Ishikawa
2020	Solving constrained combinatorial reverse auctions using MOEAs: a comparative study. Elaine Guerrero-Peña, Fernanda Nakano Kazama, Paulo de Barros Correia, Aluízio F. R. Araújo
2020	Solving the single row facility layout problem by differential evolution. Pavel Krömer, Jan Platos, Václav Snásel
2020	Specific single- and multi-objective evolutionary algorithms for the chance-constrained knapsack problem. Yue Xie, Aneta Neumann, Frank Neumann
2020	Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems. Xiaoran Ruan, Ke Li, Bilel Derbel, Arnaud Liefooghe
2020	Surrogate-assisted asynchronous multiobjective algorithm for nuclear power plant operations. V. Drouet, Sébastien Vérel, Jean-Michel Do
2020	Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang
2020	Symbolic regression driven by training data and prior knowledge. Jirí Kubalík, Erik Derner, Robert Babuska
2020	Synthesis through unification genetic programming. Thomas Welsch, Vitaliy Kurlin
2020	The (1 + ( Denis Antipov, Benjamin Doerr, Vitalii Karavaev
2020	The node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics. Jakob Bossek, Katrin Casel, Pascal Kerschke, Frank Neumann
2020	Towards an evolutionary-based approach for natural language processing. Luca Manzoni, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Mauro Castelli
2020	Towards crossing the reality gap with evolved plastic neurocontrollers. Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti
2020	Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case. Diederick Vermetten, Hao Wang, Thomas Bäck, Carola Doerr
2020	Towards rigorous validation of energy optimisation experiments. Mahmoud A. Bokhari, Brad Alexander, Markus Wagner
2020	Towards sustainable forest management strategies with MOEAs. Philipp Back, Antti Suominen, Pekka Malo, Olli Tahvonen, Julian Blank, Kalyanmoy Deb
2020	Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2020	Understanding transforms of pseudo-boolean functions. L. Darrell Whitley, Hernán E. Aguirre, Andrew M. Sutton
2020	Unlabeled multi-target regression with genetic programming. Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand
2020	Using implicit multi-objectives properties to mitigate against forgetfulness in coevolutionary algorithms. Adefunke Akinola, Mark Wineberg
2020	Variable reduction for surrogate-based optimization. Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
2020	Versatile black-box optimization. Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
2020	What is a good direction vector set for the R2-based hypervolume contribution approximation. Yang Nan, Ke Shang, Hisao Ishibuchi
2020	Why many travelling salesman problem instances are easier than you think. Swetha Varadarajan, L. Darrell Whitley, Gabriela Ochoa
2020	XCS classifier system with experience replay. Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
2020	ϵ-shotgun: ϵ-greedy batch bayesian optimisation. George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma As-Aad Mohammad Rahat