GECCO (Companion)

Keyphrases

Publications

2019

Anna Lavygina, Kristopher Welsh, Alan Crispin
On fairness as a rostering objective. GECCO (Companion) (2019)
Linda Zhang, Erik Hemberg
Investigating algorithms for finding nash equilibria in cyber security problems. GECCO (Companion) (2019)
Frank Veenstra, Emma Hart, Edgar Buchanan, Wei Li, Matteo De Carlo, Ágoston E. Eiben
Comparing encodings for performance and phenotypic exploration in evolving modular robots. GECCO (Companion) (2019)
Alejandro Marrero, Eduardo Segredo, Coromoto León
On the automatic planning of healthy and balanced menus. GECCO (Companion) (2019)
Hye-Jin Kim, Junghwan Lee, Jong-Hwui Yun, Yong-Hyuk Kim
Optimal equipment assignment for oil spill response using a genetic algorithm. GECCO (Companion) (2019)
Anthony Stein
Learning classifier systems: from principles to modern systems. GECCO (Companion) (2019)
Anton O. Bassin, Maxim Buzdalov
)) GA. GECCO (Companion) (2019)
Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu
Hybrid techniques for detecting changes in less detectable dynamic multiobjective optimization problems. GECCO (Companion) (2019)
Aritz D. Martinez, Eneko Osaba, Izaskun Oregi, Iztok Fister Jr., Iztok Fister, Javier Del Ser
Hybridizing differential evolution and novelty search for multimodal optimization problems. GECCO (Companion) (2019)
Neil Urquhart, Michael Guckert, Simon T. Powers
Increasing trust in meta-heuristics by using MAP-elites. GECCO (Companion) (2019)
William B. Yates, Edward C. Keedwell
Analysing heuristic subsequences for offline hyper-heuristic learning. GECCO (Companion) (2019)
Boyuan Xia, Zhiwei Yang, Qingsong Zhao
Study on multi-objective optimization for the allocation of transit aircraft to gateway considering satellite hall. GECCO (Companion) (2019)
Alexander Furman, Danielle Nagar, Geoff Nitschke
The cost of morphological complexity. GECCO (Companion) (2019)
Fang-Yi Lo, Chao-Hong Chen, Ying-Ping Chen
Genetic algorithms as shrinkers in property-based testing. GECCO (Companion) (2019)
Robert Simon Fong, Peter Tiño
Extended stochastic derivative-free optimization on riemannian manifolds. GECCO (Companion) (2019)
Martyn Amos, Matthew Crossley, Huw Lloyd
Solving nurikabe with ant colony optimization. GECCO (Companion) (2019)
Carola Doerr, Johann Dréo, Pascal Kerschke
Making a case for (Hyper-)parameter tuning as benchmark problems. GECCO (Companion) (2019)
Ryodai Hamasaki, Koichi Nakayama
A deep learning system that learns a discriminative model autonomously using difference images. GECCO (Companion) (2019)
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Are quality diversity algorithms better at generating stepping stones than objective-based search? GECCO (Companion) (2019)
João Correia, Tiago Martins, Penousal Machado
Evolutionary data augmentation in deep face detection. GECCO (Companion) (2019)
David Bernhauer, Tomás Skopal
Approximate search in dissimilarity spaces using GA. GECCO (Companion) (2019)
Pramudita Satria Palar, Yohanes Bimo Dwianto, Rommel G. Regis, Akira Oyama, Lavi Rizki Zuhal
Benchmarking constrained surrogate-based optimization on low speed airfoil design problems. GECCO (Companion) (2019)
Ke Li, Qingfu Zhang
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) (2019)
Alexander Lalejini, Charles Ofria
Tag-accessed memory for genetic programming. GECCO (Companion) (2019)
Lorenzo Gentile, Cristian Greco, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile
Structured-chromosome GA optimisation for satellite tracking. GECCO (Companion) (2019)
Adán José García, Julia Handl, Wilfrido Gómez-Flores, Mario Garza-Fabre
Many-view clustering: an illustration using multiple dissimilarity measures. GECCO (Companion) (2019)
Dirk Thierens, Peter A. N. Bosman
Model-based evolutionary algorithms. GECCO (Companion) (2019)
Frederik Rehbach, Lorenzo Gentile, Thomas Bartz-Beielstein
Feature selection for surrogate model-based optimization. GECCO (Companion) (2019)
Krzysztof Michalak
Evolutionary optimization of epidemic control strategies for livestock disease prevention. GECCO (Companion) (2019)
Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama
On the use of metaheuristics in hyperparameters optimization of gaussian processes. GECCO (Companion) (2019)
Dmitry Vinokurov, Maxim Buzdalov, Arina Buzdalova, Benjamin Doerr, Carola Doerr
Fixed-target runtime analysis of the (1 + 1) EA with resampling. GECCO (Companion) (2019)
Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen
Enhanced optimization with composite objectives and novelty pulsation. GECCO (Companion) (2019)
Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli
Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. GECCO (Companion) (2019)
Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray
Investigating the use of linear programming to solve implicit symbolic regression problems. GECCO (Companion) (2019)
Dimo Brockhoff, Tea Tusar
Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. GECCO (Companion) (2019)
Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung
Semantic fitness function in genetic programming based on semantics flow analysis. GECCO (Companion) (2019)
Ofer M. Shir, Thomas Bäck
Sequential experimentation by evolutionary algorithms. GECCO (Companion) (2019)
Igor Saenko, Igor V. Kotenko
A role-base approach and a genetic algorithm for VLAN design in large critical infrastructures. GECCO (Companion) (2019)
Alina Enescu, Anca Andreica, Laura Diosan
Evolved cellular automata for edge detection. GECCO (Companion) (2019)
Man-Je Kim, Jun Suk Kim, Donghyeon Lee, Sungjin James Kim, Min-Jung Kim, Chang Wook Ahn
Integrating agent actions with genetic action sequence method. GECCO (Companion) (2019)
Bhupinder Singh Saini, Manuel López-Ibáñez, Kaisa Miettinen
Automatic surrogate modelling technique selection based on features of optimization problems. GECCO (Companion) (2019)
Algirdas Lancinskas, Julius Zilinskas, Pascual Fernández, Blas Pelegrín
Ranking-based discrete optimization algorithm for asymmetric competitive facility location. GECCO (Companion) (2019)
Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena
Gaussian process surrogate models for the CMA-ES. GECCO (Companion) (2019)
Tina Malalanirainy, Alberto Moraglio
Runtime analysis of abstract evolutionary search with standard crossover. GECCO (Companion) (2019)
Akemi Gálvez, Iztok Fister Jr., Eneko Osaba, Iztok Fister, Javier Del Ser, Andrés Iglesias
Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm. GECCO (Companion) (2019)
Jürgen Branke
Simulation optimisation: tutorial. GECCO (Companion) (2019)
Mayowa Ayodele
Application of estimation of distribution algorithm for feature selection. GECCO (Companion) (2019)
Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
Beyond coreset discovery: evolutionary archetypes. GECCO (Companion) (2019)
Qi Chen, Bing Xue, Mengjie Zhang
Differential evolution for instance based transfer learning in genetic programming for symbolic regression. GECCO (Companion) (2019)
Markus Wagner
Kinder surprise's debut in discrete optimisation: a real-world toy problem that can be subadditive. GECCO (Companion) (2019)