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ORCID29th EvoApplications 2026: Toulouse, France - Part I
- Pablo García-Sánchez
, Josefa Díaz Álvarez, Aidan Murphy:
Applications of Evolutionary Computation - 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8-10, 2026, Proceedings, Part I. Lecture Notes in Computer Science 16524, Springer 2026, ISBN 978-3-032-23603-6
Applications of Evolutionary Computation
- Tam Minh Nguyen:
CP-MEME: A Hybrid (1+1)-Evolutionary Framework for the Oven Scheduling Problem. 3-16 - Shanxian Lin, Wei Xia, Yuichi Nagata, Haichuan Yang:
Multi-constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover. 17-34 - João Eduardo Batista, Emil Vatai, Aleksandr Drozd, Mohamed Wahib:
EvoTADASHI: Genetic Programming for High-Performance Code Optimization. 35-51 - Soumen Atta, Michael T. M. Emmerich:
Feasibility-Preserving Multi-objective Evolutionary Algorithms with Local Search for the Bi-objective Maximal Covering Location Problem with Compactness. 52-68 - Jed Muff, Keiichi Ito, Elijah H. W. Ang, Karine Miras, A. E. Eiben:
Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights. 69-84 - Lukas Plevac, Zdenek Vasícek:
Evolutionary Design of Specialized Image Compression Operators. 85-101 - Saining Liu, Yi Mei, Mengjie Zhang:
Adaptive Curriculum Learning in Genetic Programming-Guided Local Search for Large-Scale Vehicle Routing Problems. 102-116 - Jayprakash S. Nair, Jimson Mathew, Shivashankar B. Nair:
A Reinforcement Learning-Inspired Latent Yield-Based Adaptive Algorithm Switching Mechanism. 117-132 - Ahmad Tashfeen, Qi Cheng:
Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices. 133-148 - Emiliano Rossi, Erik Nielsen, Giovanni Iacca:
Evolutionary Emergence of Distributed Neural Network Controllers in Voxel-Based Soft Robots. 149-165 - Taran Cyriac John, Giovanni Iacca, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang:
Evolving Ternary Patterns and Discriminative Localisation for Basal Cell Carcinoma Detection. 166-182 - Xeniya Bashkova, Alexander Hvatov:
On the Impact of Conditional Distribution in Discovered Differential Equation Ensembles. 183-198 - Shanshan Mao, Peter Tino:
From Cooperation to Hierarchy: A Study of Dynamics of Hierarchy Emergence in a Multi-Agent System. 199-215 - Claude Carlet, Marko Ðurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Alexandr Polujan:
On Counts and Densities of Homogeneous Bent Functions: An Evolutionary Approach. 216-232 - Joao Martin-Saquet, Adrien Dorise, Edouard Villain, Vinicius Beltram Tergolina, Stéphane Sanchez, David Panzoli:
Assessing Evolving and Learning-Based Controllers for Efficient Cursor Control in Human-Computer Interaction. 233-248 - Bernt Moritz Schmid Olsen, Kazi Shah Nawaz Ripon:
A Quantum-Inspired Genetic Algorithm for Multi-objective Job-Shop Scheduling. 249-265 - Laura-Maria Cornei, Mihaela Elena Breaban:
Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study. 266-281 - Andrés Bueno-Crespo, Ana Ortiz-González, José Martínez-Más, Carlos Cotta:
Hybrid Modeling for Predicting the Evolution of Premalignant Cervical Squamous Lesions via Intelligent Agents and Deep Neural Networks. 282-295 - Pedro Ferreira, Carlos Henggeler Antunes, Jorge P. Batista, Telmo Pinto:
Optimizing Transformers: Metaheuristics for Attention Head Pruning. 296-312 - David Sedlak, Jan Klhufek, Vojtech Mrazek:
Evolving Memory-Aware Schedules for Transformer Inference on Systolic Array Accelerators. 313-329
EuroGP and EvoApps Special Joint Track on Evolutionary Machine
- Behzad Moradi, Mario Andrés Muñoz, Michael Kirley:
Generalisation of Automated Algorithm Selection in Black-Box Optimisation: The Role of Algorithm Portfolio and Learning Model. 333-349 - Erik Nielsen, Alessandro Lorenzi, Giovanni Iacca:
Quality-Diversity Optimization Meets Neuron-Centric Hebbian Learning. 350-366 - Renan Beran Kilic, Kasim Sinan Yildirim, Giovanni Iacca:
Multi-objective Evolutionary Optimization of Imbalanced Fast Feedforward Networks. 367-383 - Emanuele Nardone, Claudio De Stefano, Alessandra Scotto di Freca, Francesco Fontanella, Tiziana D'Alessandro:
Toward Reliable Uncertainty Quantification in Surrogate-Assisted Evolutionary Algorithms via Temporal Conformal Prediction. 384-401 - Karel Fritz, Michal Bidlo:
On Efficient Binarization of Scanned Historical Documents by Training Local Rules of Neural Cellular Automata. 402-416 - Kanchan Rajwar, Nelishia Pillay, Thambo Nyathi:
PITL-DE: Problem-Independent Transfer Learning in Differential Evolution for Continuous Optimization. 417-434 - Joana Simões, João Correia:
Exploring the Impact of Fairness-Aware Criteria in AutoML. 435-450 - Boukthir Haddar, Mohamed Ali Elleuch, Chedli Damak:
Learning to Search: A Reinforcement Learning Agent for Global Optimization. 451-466 - William Gjerberg Tresselt, Ole Jakob Mengshoel:
TensorRankNEAT: Fast Preference Learning with Neuroevolution Using Tensorization and GPUs. 467-483 - David Nepras, Lukás Sekanina:
Multi-objective Evolutionary Neural Architecture Search for Hailo Accelerators. 484-500 - Estelle Chigot, Thomas Oberlin, Manon Huguenin, Dennis Wilson:
Multi-objective Optimization for Synthetic-to-Real Style Transfer. 501-517 - Abhishek Singh, Zimeng Lyu, Travis Desell:
Biologically-Inspired Homeostasis for Neuroevolution: Alternating Growth and Pruning Phases. 518-533
Bioinspired Algorithms for Green Computing and Sustainable Complex Systems
- Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós, Paulin Heleine, Damien Olivier:
Self-organized Criticality for Green Distributed Computing: A Sandpile-Inspired Model of Energy-Efficient Load Balancing. 537-551
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