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ORCID24th EvoApplications 2021: Virtual Event
- Pedro A. Castillo
, Juan Luis Jiménez Laredo:
Applications of Evolutionary Computation - 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings. Lecture Notes in Computer Science 12694, Springer 2021, ISBN 978-3-030-72698-0
Applications of Evolutionary Computation
- Jørgen Nordmoen, Tønnes F. Nygaard, Eivind Samuelsen, Kyrre Glette:
On Restricting Real-Valued Genotypes in Evolutionary Algorithms. 3-16 - Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. 17-33 - Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette:
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. 34-49 - Andrew Iskandar, Richard Allmendinger:
Multi-objective Workforce Allocation in Construction Projects. 50-64 - Sho Kajihara, Hiroyuki Sato, Keiki Takadama:
Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm Based on Decomposition. 65-80 - Tiago Sousa, João Correia, Vitor Pereira, Miguel Rocha:
Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecular Design. 81-96 - Michael H. Prince, Kristian DeHaan, Daniel R. Tauritz:
A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems. 97-112 - Md Asaduzzaman Noor, John W. Sheppard:
Evolutionary Grain-Mixing to Improve Profitability in Farming Winter Wheat. 113-129 - Jonas Kuckling, Vincent van Pelt, Mauro Birattari:
Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites. 130-145 - Ruba Abu Khurma, Khair Eddin Sabri, Pedro A. Castillo, Ibrahim Aljarah:
Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection. 146-161 - Milan Wittpohl, Per-Arno Plötz, Neil Urquhart:
Real Time Optimisation of Traffic Signals to Prioritise Public Transport. 162-177 - Ferrante Neri:
Adaptive Covariance Pattern Search. 178-193 - Pedro Henrique Narloch, Márcio Dorn:
Evaluating the Success-History Based Adaptive Differential Evolution in the Protein Structure Prediction Problem. 194-209 - Andrea Ferigo, Giovanni Iacca, Eric Medvet:
Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-Based Soft Robots. 210-226 - Sandra González-Gallardo, Rubén Saborido, Ana Belen Ruiz, Mariano Luque:
Desirable Objective Ranges in Preference-Based Evolutionary Multiobjective Optimization. 227-241 - Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba:
Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics Plus Integer Linear Programming. 242-257 - Neil Urquhart, Silke Höhl, Emma Hart:
Automated, Explainable Rule Extraction from MAP-Elites Archives. 258-272
Applications of Deep Bioinspired Algorithms
- Michael H. Prince, Andrew J. McGehee, Daniel R. Tauritz:
EDM-DRL: Toward Stable Reinforcement Learning Through Ensembled Directed Mutation. 275-290 - AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell:
Continuous Ant-Based Neural Topology Search. 291-306
Soft Computing Applied to Games
- Johannes Büttner, Christian Merz, Sebastian von Mammen:
Playing with Dynamic Systems - Battling Swarms in Virtual Reality. 309-324 - Djordje Grbic, Rasmus Berg Palm, Elias Najarro, Claire Glanois, Sebastian Risi:
EvoCraft: A New Challenge for Open-Endedness. 325-340 - Alejandro Romero García, Antonio Mora García:
A Profile-Based 'GrEvolutionary' Hearthstone Agent. 341-356
Machine Learning and AI in Digital Healthcare and Personalized Medicine
- Alejandro Lopez Rincon, Daphne S. Roozendaal, Hilde M. Spierenburg, Asta L. Holm, Renee Metcalf, Paula Perez-Pardo, Aletta D. Kraneveld, Alberto Tonda:
Modelling Asthma Patients' Responsiveness to Treatment Using Feature Selection and Evolutionary Computation. 359-372 - Margarita Rebolledo, A. E. Eiben, Thomas Bartz-Beielstein:
Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments. 373-387 - Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez:
A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. 388-403
Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition
- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva:
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks. 407-420 - Laura Millán, Gabriel Kronberger, José Ignacio Hidalgo, Ricardo Fernández, Oscar Garnica, Gaspar González-Doncel:
Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming. 421-436 - Jacob Spindler, Rico Schulze, Kevin Schleifer, Hendrik Richter:
EDA-Based Optimization of Blow-Off Valve Positions for Centrifugal Compressor Systems. 437-452 - Tianci Wen, Radu P. Mihail, Franck P. Vidal:
3D-2D Registration Using X-Ray Simulation and CMA-ES. 453-468 - Harisu Abdullahi Shehu, Abubakar Siddique, Will N. Browne, Hedwig Eisenbarth:
Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images. 469-485
Evolutionary Machine Learning
- Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. 489-505 - Jamie Caldwell, Joshua D. Knowles, Christoph Thies, Filip Kubacki, Richard A. Watson:
Deep Optimisation: Multi-scale Evolution by Inducing and Searching in Deep Representations. 506-521 - Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm, Sebastian Risi:
Evolutionary Planning in Latent Space. 522-536 - Adam Katona, Nuno Lourenço, Penousal Machado, Daniel W. Franks, James Alfred Walker:
Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning. 537-551 - Alina Elena Baia, Gabriele Di Bari, Valentina Poggioni:
Effective Universal Unrestricted Adversarial Attacks Using a MOE Approach. 552-567 - Zimeng Lyu, Joshua Karns, AbdElRahman A. ElSaid, Mohamed Wiem Mkaouer, Travis Desell:
Improving Distributed Neuroevolution Using Island Extinction and Repopulation. 568-583 - Zimeng Lyu, AbdElRahman A. ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell:
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. 584-600 - Anja Jankovic, Tome Eftimov, Carola Doerr:
Towards Feature-Based Performance Regression Using Trajectory Data. 601-617 - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Demonstrating the Evolution of GANs Through t-SNE. 618-633 - Carina Ivascu, Richard M. Everson, Jonathan E. Fieldsend:
Optimising Diversity in Classifier Ensembles of Classification Trees. 634-648 - Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy Pitt:
WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. 649-664 - Trevor Londt, Xiaoying Gao, Peter Andreae:
Evolving Character-Level DenseNet Architectures Using Genetic Programming. 665-680 - Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner:
Transfer Learning for Automated Test Case Prioritization Using XCSF. 681-696 - Alexander R. M. Wagner, Anthony Stein:
On the Effects of Absumption for XCS with Continuous-Valued Inputs. 697-713 - Stefano Sarti, Gabriela Ochoa:
A NEAT Visualisation of Neuroevolution Trajectories. 714-728 - Celio H. N. Larcher Jr., Helio J. C. Barbosa:
Evaluating Models with Dynamic Sampling Holdout. 729-744
Parallel and Distributed Systems
- Mario García Valdez, Juan Julián Merelo Guervós:
Event-Driven Multi-algorithm Optimization: Mixing Swarm and Evolutionary Strategies. 747-762 - Francisco Baeta, João Correia, Tiago Martins, Penousal Machado:
TensorGP - Genetic Programming Engine in TensorFlow. 763-778
Applications of Nature-Inspired Computing for Sustainability and Development
- Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara:
A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. 781-794 - Antonio Agresta, Marco Baioletti, Chiara Biscarini, Alfredo Milani, Valentino Santucci:
Evolutionary Algorithms for Roughness Coefficient Estimation in River Flow Analyses. 795-811 - Gonzalo Carazo-Barbero, Eva Besada-Portas, José Maria Girón-Sierra, José Antonio López Orozco:
EA-Based ASV Trajectory Planner for Pollution Detection in Lentic Waters. 812-827
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