- Davide Farinati, Leonardo Vanneschi:
GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks. EvoApplications@EvoStar 2024: 68-82 - Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic:
Finding Near-Optimal Portfolios with Quality-Diversity. EvoApplications@EvoStar 2024: 3-18 - Vincenzo Gulisano, Eric Medvet:
Evolutionary Computation Meets Stream Processing. EvoApplications@EvoStar 2024: 377-393 - Yumnah Hasan, Allan de Lima, Fatemeh Amerehi, Darian Reyes Fernández de Bulnes, Patrick Healy, Conor Ryan:
Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation. EvoApplications@EvoStar 2024: 224-239 - Luke de Jeu, Anil Yaman:
Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem. EvoApplications@EvoStar 2024: 162-177 - Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang:
Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach. EvoApplications@EvoStar 2024: 413-429 - Ashish Lakhmani, Ruppa K. Thulasiram, Parimala Thulasiraman:
Nature-Inspired Portfolio Diversification Using Ant Brood Clustering. EvoApplications@EvoStar 2024: 115-130 - Riccardo Lunelli, Giovanni Iacca:
Low-Memory Matrix Adaptation Evolution Strategies Exploiting Gradient Information and Lévy Flight. EvoApplications@EvoStar 2024: 35-50 - Ashley Mann, Stephen Swift, Mahir Arzoky:
Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation. EvoApplications@EvoStar 2024: 240-258 - Romain Michelucci, Vincent Callegari, Jean-Paul Comet, Denis Pallez:
Cellular Genetic Algorithms for Identifying Variables in Hybrid Gene Regulatory Networks. EvoApplications@EvoStar 2024: 131-145 - Kirsty Montague, Emma Hart, Ben Paechter:
A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control. EvoApplications@EvoStar 2024: 178-193 - Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Mahshid Helali Moghadam, Mohammed El-Abd:
A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks. EvoApplications@EvoStar 2024: 259-272 - Lea Musiolek, David Bierbach, Nils Weimar, Myriam Hamon, Jens Krause, Verena V. Hafner:
Evolving Artificial Neural Networks for Simulating Fish Social Interactions. EvoApplications@EvoStar 2024: 146-161 - Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque:
Optimizing Urban Infrastructure for E-Scooter Mobility. EvoApplications@EvoStar 2024: 341-357 - Oliver Ludger Preuß, Jeroen Rook, Heike Trautmann:
On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. EvoApplications@EvoStar 2024: 305-321 - Quentin Renau, Emma Hart:
On the Utility of Probing Trajectories for Algorithm-Selection. EvoApplications@EvoStar 2024: 98-114 - Conor Spann, Evelyne Lutton, François Boué, Franck Vidal:
3D Motion Analysis in MRI Using a Multi-objective Evolutionary k-means Clustering. EvoApplications@EvoStar 2024: 430-445 - Neil Urquhart, Kelly Hunter:
Evolving Staff Training Schedules Using an Extensible Fitness Function and a Domain Specific Language. EvoApplications@EvoStar 2024: 83-97 - Aidan Walden, Maxim Buzdalov:
A Simple Statistical Test Against Origin-Biased Metaheuristics. EvoApplications@EvoStar 2024: 322-337 - Jens Weise, Sanaz Mostaghim:
Finding Sets of Solutions for Temporal Uncertain Problems. EvoApplications@EvoStar 2024: 209-223 - Zhilei Zhou, Nur Zincir-Heywood, Malcolm I. Heywood:
Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks. EvoApplications@EvoStar 2024: 361-376 - Stephen L. Smith, João Correia, Christian Cintrano:
Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14634, Springer 2024, ISBN 978-3-031-56851-0 [contents] - Stephen L. Smith, João Correia, Christian Cintrano:
Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14635, Springer 2024, ISBN 978-3-031-56854-1 [contents] - 2023
- Antonio Agresta, Chiara Biscarini, Fabio Caraffini, Valentino Santucci:
An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length. EvoApplications@EvoStar 2023: 475-490 - Habiba Akter, Rupert C. D. Young, Phil Birch, Chris R. Chatwin:
Use of a Genetic Algorithm to Evolve the Parameters of an Iterated Function System in Order to Create Adapted Phenotypic Structures. EvoApplications@EvoStar 2023: 319-331 - Ahmed Almansoori, Muhanad Alkilabi, Elio Tuci:
Further Investigations on the Characteristics of Neural Network Based Opinion Selection Mechanisms for Robotics Swarms. EvoApplications@EvoStar 2023: 737-750 - Andrejaana Andova, Tobias Benecke, Harald Ludwig, Tea Tusar:
Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes. EvoApplications@EvoStar 2023: 442-457 - Solofohanitra Rahamefy Andriamalala, Toky Axel Andriamizakason, Andry Rasoanaivo:
Multi-agent vs Classic System of an Electricity Mix Production Optimization. EvoApplications@EvoStar 2023: 118-128 - Andreea Avramescu, Manuel López-Ibáñez, Richard Allmendinger:
Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains. EvoApplications@EvoStar 2023: 718-733 - Kehinde O. Babaagba, Mayowa Ayodele:
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware. EvoApplications@EvoStar 2023: 161-176