| 2018 | A GA based network optimization tool for passive in-building distributed antenna systems. Siddhartha Shakya, Kin Fai Poon, Anis Ouali |
| 2018 | A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. Mehdi Neshat, Bradley Alexander, Markus Wagner, Yuanzhong Xia |
| 2018 | A differential prediction model for evolutionary dynamic multiobjective optimization. Leilei Cao, Lihong Xu, Erik D. Goodman, Shuwei Zhu, Hui Li |
| 2018 | A fitness landscape analysis of the travelling thief problem. Mohamed El Yafrani, Marcella S. R. Martins, Mehdi El Krari, Markus Wagner, Myriam Regattieri de Biase da Silva Delgado, Belaïd Ahiod, Ricardo Lüders |
| 2018 | A genetic algorithm for finding an optimal curing strategy for epidemic spreading in weighted networks. Clara Pizzuti, Annalisa Socievole |
| 2018 | A genetic programming based iterated local search for software project scheduling. Nasser R. Sabar, Ayad Turky, Andy Song |
| 2018 | A global information based adaptive threshold for grouping large scale optimization problems. An Chen, Yipeng Zhang, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang |
| 2018 | A heuristic algorithm based on tabu search for the solution of flexible job shop scheduling problems with lot streaming. Miguel A. Fernández Romero, Eric Alfredo Rincón García, Antonin Ponsich, Román Mora Gutiérrez |
| 2018 | A merge search algorithm and its application to the constrained pit problem in mining. Angus Kenny, Xiaodong Li, Andreas T. Ernst |
| 2018 | A model of artificial emotions for behavior-modulation and implicit coordination in multi-robot systems. Jérôme Guzzi, Alessandro Giusti, Luca Maria Gambardella, Gianni A. Di Caro |
| 2018 | A multi-objective evolutionary hyper-heuristic based on multiple indicator-based density estimators. Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello |
| 2018 | A multi-objective formulation of the team formation problem in social networks: preliminary results. Julio Juárez, Carlos A. Brizuela |
| 2018 | A new R2 indicator for better hypervolume approximation. Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu |
| 2018 | A new analysis method for evolutionary optimization of dynamic and noisy objective functions. Raphaël Dang-Nhu, Thibault Dardinier, Benjamin Doerr, Gautier Izacard, Dorian Nogneng |
| 2018 | A new foraging-based algorithm for online scheduling. Koen van der Blom, Thomas Bäck |
| 2018 | A novel fitness function for automated program repair based on source code checkpoints. Eduardo Faria de Souza, Claire Le Goues, Celso Gonçalves Camilo-Junior |
| 2018 | A novel similarity-based mutant vector generation strategy for differential evolution. Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart |
| 2018 | A particle swarm optimization based feature selection approach to transfer learning in classification. Bach Hoai Nguyen, Bing Xue, Peter Andreae |
| 2018 | A robot to shape your natural plant: the machine learning approach to model and control bio-hybrid systems. Mostafa Wahby, Mary Katherine Heinrich, Daniel Nicolas Hofstadler, Payam Zahadat, Sebastian Risi, Phil Ayres, Thomas Schmickl, Heiko Hamann |
| 2018 | A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing. Alexander E. I. Brownlee, John R. Woodward, Michal Weiszer, Jun Chen |
| 2018 | A set-oriented MOEA/D. Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka |
| 2018 | A steady-state NSGA-II based multi-objective multicast routing algorithm for optical networks. Ying Xu, Yan Zhou |
| 2018 | A taxonomy of methods for visualizing pareto front approximations. Bogdan Filipic, Tea Tusar |
| 2018 | A tight runtime analysis for the (μ + λ) EA. Denis Antipov, Benjamin Doerr, Jiefeng Fang, Tangi Hetet |
| 2018 | A two-level diploid genetic based algorithm for solving the family traveling salesman problem. Petrica C. Pop, Oliviu Matei, Camelia-Mihaela Pintea |
| 2018 | AI for happiness of people. Kazuo Yano |
| 2018 | Adaptive asynchrony in semi-asynchronous evolutionary algorithm based on performance prediction using search history. Tomohiro Harada |
| 2018 | Adaptive charting genetic programming for dynamic flexible job shop scheduling. Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2018 | Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li |
| 2018 | Algorithm selection on generalized quadratic assignment problem landscapes. Andreas Beham, Stefan Wagner, Michael Affenzeller |
| 2018 | An analysis of the bias of variation operators of estimation of distribution programming. Dirk Schweim, Franz Rothlauf |
| 2018 | An effective hybrid meta-heuristic for a heterogeneous flow shop scheduling problem. Matheus de Freitas Araujo, José Elias C. Arroyo, Ricardo G. Tavares |
| 2018 | An empirical comparison of metamodeling strategies in noisy environments. Sunith Bandaru, Amos H. C. Ng |
| 2018 | An improved version of a reference-based multi-objective evolutionary algorithm based on IGD Edgar Manoatl López, Carlos A. Coello Coello |
| 2018 | Analysis of evolution strategies with the optimal weighted recombination. Chun-Kit Au, Ho-fung Leung |
| 2018 | Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. Kento Uchida, Shinichi Shirakawa, Youhei Akimoto |
| 2018 | Analysis of noisy evolutionary optimization when sampling fails. Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao |
| 2018 | Analysis of the use of genetic algorithms for indoor localisation via cloud point matching. Miguel A. Boland, Leandro Soares Indrusiak |
| 2018 | Attribute tracking: strategies towards improved detection and characterization of complex associations. Ryan J. Urbanowicz, Christopher Lo, John H. Holmes, Jason H. Moore |
| 2018 | Automatic synthesis of swarm behavioural rules from their atomic components. Dilini Samarasinghe, Erandi Lakshika, Michael Barlow, Kathryn Kasmarik |
| 2018 | Automatically evolving difficult benchmark feature selection datasets with genetic programming. Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2018 | Autostacker: a compositional evolutionary learning system. Boyuan Chen, Harvey Wu, Warren Mo, Ishanu Chattopadhyay, Hod Lipson |
| 2018 | Benchmarking evolutionary computation approaches to insider threat detection. Duc C. Le, Sara Khanchi, Nur Zincir-Heywood, Malcolm I. Heywood |
| 2018 | Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA. Marjolein C. van der Meer, Bradley R. Pieters, Yury Niatsetski, Tanja Alderliesten, Arjan Bel, Peter A. N. Bosman |
| 2018 | Changing or keeping solutions in dynamic optimization problems with switching costs. Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Trung Thanh Nguyen, Xin Yao |
| 2018 | Collaborative multi-objective optimization for distributed design of complex products. João A. Duro, Yiming Yan, Robin C. Purshouse, Peter J. Fleming |
| 2018 | Combating catastrophic forgetting with developmental compression. Shawn L. E. Beaulieu, Sam Kriegman, Josh C. Bongard |
| 2018 | Comparison of parallel surrogate-assisted optimization approaches. Frederik Rehbach, Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein |
| 2018 | Component-level study of a decomposition-based multi-objective optimizer on a limited evaluation budget. Oliver P. H. Jones, Jeremy E. Oakley, Robin C. Purshouse |
| 2018 | Connecting human and technologies in space. Naoko Yamazaki |
| 2018 | Cooperative co-evolution with online optimizer selection for large-scale optimization. Yuan Sun, Michael Kirley, Xiaodong Li |
| 2018 | Cooperative multi-objective evolutionary support vector machines for multiclass problems. Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera |
| 2018 | CovSel: A new approach for ensemble selection applied to symbolic regression problems. Dominik Sobania, Franz Rothlauf |
| 2018 | Crossover can simulate bounded tree search on a fixed-parameter tractable optimization problem. Andrew M. Sutton |
| 2018 | Data-driven analysis of pareto set topology. Naoki Hamada, Keisuke Goto |
| 2018 | Data-efficient neuroevolution with kernel-based surrogate models. Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret |
| 2018 | Dependent input sampling strategies: using metaheuristics for generating parameterised random sampling regimes. Komsan Srivisut, John A. Clark, Richard F. Paige |
| 2018 | Directed mating in decomposition-based MOEA for constrained many-objective optimization. Minami Miyakawa, Hiroyuki Sato, Yuji Sato |
| 2018 | Discovering the elite hypervolume by leveraging interspecies correlation. Vassilis Vassiliades, Jean-Baptiste Mouret |
| 2018 | Discrepancy-based evolutionary diversity optimization. Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner |
| 2018 | Divide and conquer: neuroevolution for multiclass classification. Tyler McDonnell, Sari Andoni, Elmira Bonab, Sheila Cheng, Jun-Hwan Choi, Jimmie Goode, Keith Moore, Gavin Sellers, Jacob Schrum |
| 2018 | Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference. Arnaud Liefooghe, Manuel López-Ibáñez, Luís Paquete, Sébastien Vérel |
| 2018 | Domino convergence: why one should hill-climb on linear functions. Carsten Witt |
| 2018 | Drift theory in continuous search spaces: expected hitting time of the (1 + 1)-ES with 1/5 success rule. Youhei Akimoto, Anne Auger, Tobias Glasmachers |
| 2018 | Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization. Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima |
| 2018 | ES is more than just a traditional finite-difference approximator. Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley |
| 2018 | Efficient sample reuse in policy search by multiple importance sampling. Eiji Uchibe |
| 2018 | Efficient search techniques using adaptive discretization of design variables on real-coded evolutionary computations. Toshiki Kondo, Tomoaki Tatsukawa |
| 2018 | Enhancing partition crossover with articulation points analysis. Francisco Chicano, Gabriela Ochoa, L. Darrell Whitley, Renato Tinós |
| 2018 | Ensembles of evolved nested dichotomies for classification. Marcel Wever, Felix Mohr, Eyke Hüllermeier |
| 2018 | Escaping large deceptive basins of attraction with heavy-tailed mutation operators. Tobias Friedrich, Francesco Quinzan, Markus Wagner |
| 2018 | Estimating cement compressive strength from microstructural images using GEP with probabilistic polarized similarity weight tournament selection. Liangliang Zhang, Xinya Yue, Lin Wang, Bo Yang |
| 2018 | Estimation of the heterogeneous strategies from action log. Keiichi Namikoshi, Sachiyo Arai |
| 2018 | Evolution of a functionally diverse swarm via a novel decentralised quality-diversity algorithm. Emma Hart, Andreas S. W. Steyven, Ben Paechter |
| 2018 | Evolution of fin undulation on a physical knifefish-inspired soft robot. Frank Veenstra, Jonas Jørgensen, Sebastian Risi |
| 2018 | Evolutionary architecture search for deep multitask networks. Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen |
| 2018 | Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem. Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann |
| 2018 | Evolutionary expectation maximization. Enrico Guiraud, Jakob Drefs, Jörg Lücke |
| 2018 | Evolutionary feature subspaces generation for ensemble classification. Boyu Zhang, A. K. Qin, Timos Sellis |
| 2018 | Evolutionary multi-level acyclic graph partitioning. Orlando Moreira, Merten Popp, Christian Schulz |
| 2018 | Evolved GANs for generating pareto set approximations. Unai Garciarena, Roberto Santana, Alexander Mendiburu |
| 2018 | Evolving bagging ensembles using a spatially-structured niching method. Grant Dick, Caitlin A. Owen, Peter A. Whigham |
| 2018 | Evolving boolean functions for fast and efficient randomness testing. Vojtech Mrazek, Marek Sýs, Zdenek Vasícek, Lukás Sekanina, Vashek Matyas |
| 2018 | Evolving event-driven programs with SignalGP. Alexander Lalejini, Charles Ofria |
| 2018 | Evolving indirectly encoded convolutional neural networks to play tetris with low-level features. Jacob Schrum |
| 2018 | Evolving mario levels in the latent space of a deep convolutional generative adversarial network. Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi |
| 2018 | Evolving simple programs for playing atari games. Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga, Julian F. Miller |
| 2018 | Evolving the autosteering of a car featuring a realistically simulated steering response. Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara |
| 2018 | Expanding variational autoencoders for learning and exploiting latent representations in search distributions. Unai Garciarena, Roberto Santana, Alexander Mendiburu |
| 2018 | Expected improvement of constraint violation for expensive constrained optimization. Ruwang Jiao, Sanyou Zeng, Changhe Li, Yuhong Jiang, Junchen Wang |
| 2018 | Exploitation of bio signal data to understand human state. Tatsuya Okabe |
| 2018 | Fast algorithm for fair comparison of genetic algorithms. Chia-Sheng Chen, Hung-Wei Hsu, Tian-Li Yu |
| 2018 | Fitness landscape analysis around the optimum in computational protein design. David Simoncini, Sophie Barbe, Thomas Schiex, Sébastien Vérel |
| 2018 | Functional generative design: an evolutionary approach to 3D-printing. Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen |
| 2018 | Fusing novelty and surprise for evolving robot morphologies. Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis |
| 2018 | GEESE: grammatical evolution algorithm for evolution of swarm behaviors. Aadesh Neupane, Michael A. Goodrich, Eric G. Mercer |
| 2018 | Generalized offline orthant search: one code for many problems in multiobjective optimization. Maxim Buzdalov |
| 2018 | Generating a melody based on symbiotic evolution for musicians' creative activities. Noriko Otani, Daisuke Okabe, Masayuki Numao |
| 2018 | Generating beginner heuristics for simple texas hold'em. Fernando de Mesentier Silva, Julian Togelius, Frank Lantz, Andy Nealen |
| 2018 | Genetic algorithm to study practical quantum adversaries. Walter O. Krawec, Sam A. Markelon |
| 2018 | Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling. Su Nguyen, Dhananjay R. Thiruvady, Andreas T. Ernst, Damminda Alahakoon |
| 2018 | Genetic programming for tuberculosis screening from raw X-ray images. Armand R. Burks, William F. Punch |
| 2018 | Hierarchical behavioral repertoires with unsupervised descriptors. Antoine Cully, Yiannis Demiris |
| 2018 | How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. Dominik Fischer, Sanaz Mostaghim, Larissa Albantakis |
| 2018 | Impacts of constraints and constraint handling strategies for multi-objective mechanical design problems. Cyril Picard, Jürg Schiffmann |
| 2018 | Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. Ngoc Hoang Luong, Tanja Alderliesten, Peter A. N. Bosman |
| 2018 | Improving the run time of the (1 + 1) evolutionary algorithm with luby sequences. Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton |
| 2018 | Information sharing and conflict resolution in distributed factored evolutionary algorithms. Stephyn G. W. Butcher, John W. Sheppard, Shane Strasser |
| 2018 | Informed mutation operator using machine learning for optimization in epidemics prevention. Krzysztof Michalak |
| 2018 | Inheritance-based diversity measures for explicit convergence control in evolutionary algorithms. Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien |
| 2018 | Interactive multiobjective optimisation: preference changes and algorithm responsiveness. Kendall Taylor, Xiaodong Li |
| 2018 | Interoceptive robustness through environment-mediated morphological development. Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard |
| 2018 | Investigation of the exponential population scheme for genetic algorithms. Yuen-Jen Lin, Tian-Li Yu |
| 2018 | Investigation of the latent space of stock market patterns with genetic programming. Sungjoo Ha, Sangyeop Lee, Byung-Ro Moon |
| 2018 | Iterated greedy algorithms for the hybrid flowshop scheduling with total flow time minimization. Hande Öztop, Mehmet Fatih Tasgetiren, Deniz Türsel Eliiyi, Quan-Ke Pan |
| 2018 | Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems. Anton Bouter, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman |
| 2018 | Learning an evolvable genotype-phenotype mapping. Matthew Andres Moreno, Wolfgang Banzhaf, Charles Ofria |
| 2018 | Learning bayesian network structures with GOMEA. Kalia Orphanou, Dirk Thierens, Peter A. N. Bosman |
| 2018 | Learning-based topology variation in evolutionary level set topology optimization. Mariusz Bujny, Nikola Aulig, Markus Olhofer, Fabian Duddeck |
| 2018 | Less detectable environmental changes in dynamic multiobjective optimisation. Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor |
| 2018 | Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy |
| 2018 | Local search effects in bi-objective orienteering. Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann |
| 2018 | MOEA/D with uniformly randomly adaptive weights. Lucas R. C. de Farias, Pedro H. M. Braga, Hansenclever de F. Bassani, Aluízio F. R. Araújo |
| 2018 | Measuring evolvability and accessibility using the hyperlink-induced topic search algorithm. Kyle L. Nickerson, Yuanzhu Chen, Feng Wang, Ting Hu |
| 2018 | Medium step sizes are harmful for the compact genetic algorithm. Johannes Lengler, Dirk Sudholt, Carsten Witt |
| 2018 | Memetic algorithms beat evolutionary algorithms on the class of hurdle problems. Phan Trung Hai Nguyen, Dirk Sudholt |
| 2018 | Memetic evolution of deep neural networks. Pablo Ribalta Lorenzo, Jakub Nalepa |
| 2018 | Memetic multilevel hypergraph partitioning. Robin Andre, Sebastian Schlag, Christian Schulz |
| 2018 | Min-conflicts heuristic for multi-mode resource-constrained projects scheduling. Arben Ahmeti, Nysret Musliu |
| 2018 | Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck |
| 2018 | Multi-objective black-box test case selection for cost-effectively testing simulation models. Aitor Arrieta, Shuai Wang, Ainhoa Arruabarrena, Urtzi Markiegi, Goiuria Sagardui, Leire Etxeberria |
| 2018 | Multi-objective journey planning under uncertainty: a genetic approach. Mohammad Haqqani, Xiaodong Li, Xinghuo Yu |
| 2018 | Multifractality and dimensional determinism in local optima networks. Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, David E. Cairns |
| 2018 | Multiobjective sparse unmixing approach with noise removal. Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang |
| 2018 | NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang |
| 2018 | Neural estimation of interaction outcomes. Pawel Liskowski, Bartosz Wieloch, Krzysztof Krawiec |
| 2018 | Neuro-guided genetic programming: prioritizing evolutionary search with neural networks. Pawel Liskowski, Iwo Bladek, Krzysztof Krawiec |
| 2018 | Neuroevolution of hierarchical reservoir computers. Matthew Dale |
| 2018 | On an immuno-inspired distributed, embodied action-evolution cum selection algorithm. Tushar Semwal, Divya D. Kulkarni, Shivashankar B. Nair |
| 2018 | On becoming a reflective practitioner. David E. Goldberg |
| 2018 | On the effects of seeding strategies: a case for search-based multi-objective service composition. Tao Chen, Miqing Li, Xin Yao |
| 2018 | On the robustness of evolutionary algorithms to noise: refined results and an example where noise helps. Dirk Sudholt |
| 2018 | On the runtime analysis of selection hyper-heuristics with adaptive learning periods. Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker |
| 2018 | On the runtime dynamics of the compact genetic algorithm on jump functions. Václav Hasenöhrl, Andrew M. Sutton |
| 2018 | One-class constraint acquisition with local search. Daniel Sroka, Tomasz P. Pawlak |
| 2018 | Online meta-learning by parallel algorithm competition. Stefan Elfwing, Eiji Uchibe, Kenji Doya |
| 2018 | Opponent modeling and exploitation in poker using evolved recurrent neural networks. Xun Li, Risto Miikkulainen |
| 2018 | Optimizing floating centroids method neural network classifier using dynamic multilayer particle swarm optimization. Changwei Cai, Shuangrong Liu, Lin Wang, Bo Yang, Zhenxiang Chen, Jin Zhou |
| 2018 | Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations. Ivo Gonçalves, Álvaro Gomes, Carlos Henggeler Antunes |
| 2018 | Orthogonalization of linear representations for efficient evolutionary design optimization. Andreas Richter, Stefan Dresselhaus, Stefan Menzel, Mario Botsch |
| 2018 | PSA-CMA-ES: CMA-ES with population size adaptation. Kouhei Nishida, Youhei Akimoto |
| 2018 | Parallel pareto local search revisited: first experimental results on bi-objective UBQP. Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong Sun |
| 2018 | Performance improvements for evolutionary strategy-based one-class constraint synthesis. Tomasz P. Pawlak |
| 2018 | Predicting friction system performance with symbolic regression and genetic programming with factor variables. Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel |
| 2018 | Preference-based 3-dimensional en-route airspace sectorization. Cheryl Sze Yin Wong, Suresh Sundaram |
| 2018 | Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018 Hernán E. Aguirre, Keiki Takadama |
| 2018 | Program synthesis using uniform mutation by addition and deletion. Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector |
| 2018 | Quasi-bistability of walk-based landscape measures in stochastic fitness landscapes. Bernhard Werth, Erik Pitzer, Gerald Ostermayer, Michael Affenzeller |
| 2018 | Querying across time to interactively evolve animations. Isabel Tweraser, Lauren E. Gillespie, Jacob Schrum |
| 2018 | Randomized greedy algorithms for covering problems. Wanru Gao, Tobias Friedrich, Frank Neumann, Christian Hercher |
| 2018 | RateSetter: roadmap for faster, safer, and better platform train interface design and operation using evolutionary optimisation. David I. Fletcher, Robert F. Harrison, Twin Karmakharm, Samadhi Nallaperuma, Paul Richmond |
| 2018 | Real-valued evolutionary multi-modal optimization driven by hill-valley clustering. S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman |
| 2018 | Real-world evolution adapts robot morphology and control to hardware limitations. Tønnes F. Nygaard, Charles P. Martin, Eivind Samuelsen, Jim Tørresen, Kyrre Glette |
| 2018 | Recurrent neural network-predictions for PSO in dynamic optimization. Almuth Meier, Oliver Kramer |
| 2018 | Robotic snake simulation using ensembles of artificial neural networks in evolutionary robotics. Grant W. Woodford, Mathys C. du Plessis |
| 2018 | Runtime analysis for self-adaptive mutation rates. Benjamin Doerr, Carsten Witt, Jing Yang |
| 2018 | Runtime analysis of probabilistic crowding and restricted tournament selection for bimodal optimisation. Edgar Covantes Osuna, Dirk Sudholt |
| 2018 | Runtime analysis of randomized search heuristics for the dynamic weighted vertex cover problem. Feng Shi, Frank Neumann, Jianxin Wang |
| 2018 | Safe mutations for deep and recurrent neural networks through output gradients. Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley |
| 2018 | Schema-based diversification in genetic programming. Bogdan Burlacu, Michael Affenzeller |
| 2018 | Semi-supervised learning assisted particle swarm optimization of computationally expensive problems. Chaoli Sun, Yaochu Jin, Ying Tan |
| 2018 | Sequential sampling for noisy optimisation with CMA-ES. Matthew J. Groves, Jürgen Branke |
| 2018 | Serendipitous scaffolding to improve a genetic algorithm's speed and quality. Heather J. Goldsby, Rebecca L. Young, Jory Schossau, Hans A. Hofmann, Arend Hintze |
| 2018 | Shaper-GA: automatic shape generation for modular house design. Bruno Taborda, Ana de Almeida, Filipe Santos, Sara Eloy, Krystian Kwiecinski |
| 2018 | Significance-based estimation-of-distribution algorithms. Benjamin Doerr, Martin S. Krejca |
| 2018 | Simple on-the-fly parameter selection mechanisms for two classical discrete black-box optimization benchmark problems. Carola Doerr, Markus Wagner |
| 2018 | Solving the exponential growth of symbolic regression trees in geometric semantic genetic programming. Joao Francisco B. S. Martins, Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Felipe Casadei, Gisele L. Pappa |
| 2018 | Surrogate assisted optimization of particle reinforced metal matrix composites. Lorenzo Gentile, Martin Zaefferer, Dario Giugliano, Haofeng Chen, Thomas Bartz-Beielstein |
| 2018 | Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen |
| 2018 | Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors. Marco Virgolin, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A. N. Bosman |
| 2018 | Talakat: bullet hell generation through constrained map-elites. Ahmed Khalifa, Scott Lee, Andy Nealen, Julian Togelius |
| 2018 | Termination detection strategies in evolutionary algorithms: a survey. Yanfeng Liu, Aimin Zhou, Hu Zhang |
| 2018 | Test suite minimization for mutation testing of WS-BPEL compositions. Francisco Palomo-Lozano, Antonia Estero-Botaro, Inmaculada Medina-Bulo, Manuel Núñez |
| 2018 | The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates. Hafsteinn Einarsson, Johannes Lengler, Marcelo Matheus Gauy, Florian Meier, Asier Mujika, Angelika Steger, Felix Weissenberger |
| 2018 | Theoretical adaptation of multiple rule-generation in XCS. Masaya Nakata, Will N. Browne, Tomoki Hamagami |
| 2018 | Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck |
| 2018 | Towards an adaptive encoding for evolutionary data clustering. Cameron Shand, Richard Allmendinger, Julia Handl, John Keane |
| 2018 | Towards effective semantic operators for program synthesis in genetic programming. Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill |
| 2018 | Towards the automated recovery of complex temporal API-usage patterns. Mohamed Aymen Saied, Houari A. Sahraoui, Edouard Batot, Michalis Famelis, Pierre-Olivier Talbot |
| 2018 | Towards the targeted environment-specific evolution of robot components. Jack Collins, Wade Geles, David Howard, Frédéric Maire |
| 2018 | Transfer strategies from single- to multi-objective grouping mechanisms. Frederick Sander, Heiner Zille, Sanaz Mostaghim |
| 2018 | Tunneling between plateaus: improving on a state-of-the-art MAXSAT solver using partition crossover. Wenxiang Chen, L. Darrell Whitley, Renato Tinós, Francisco Chicano |
| 2018 | Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm. Alexandru-Ciprian Zavoianu, Susanne Saminger-Platz, Edwin Lughofer, Wolfgang Amrhein |
| 2018 | Using ant colony optimization to optimize long short-term memory recurrent neural networks. AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell |
| 2018 | Value-based manufacturing optimisation in serverless clouds for industry 4.0. Piotr Dziurzanski, Jerry Swan, Leandro Soares Indrusiak |
| 2018 | What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF. Anthony Stein, Simon Menssen, Jörg Hähner |
| 2018 | Where are we now?: a large benchmark study of recent symbolic regression methods. Patryk Orzechowski, William G. La Cava, Jason H. Moore |
| 2018 | Working principles of binary differential evolution. Weijie Zheng, Guangwen Yang, Benjamin Doerr |
| 2018 | mQAPViz: a divide-and-conquer multi-objective optimization algorithm to compute large data visualizations. Claudio Sanhueza, Francia Jiménez, Regina Berretta, Pablo Moscato |