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ORCID26th EvoApplications 2023: Brno, Czech Republic
- João Correia
, Stephen L. Smith, Raneem Qaddoura:
Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Lecture Notes in Computer Science 13989, Springer 2023, ISBN 978-3-031-30228-2
Applications of Evolutionary Computation
- Steffen Limmer, Johannes Varga, Günther R. Raidl:
An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles. 3-18 - Ahmet Burak Barakli, Fatih Semiz, Emre Atasoy:
The Specialized Threat Evaluation and Weapon Target Assignment Problem: Genetic Algorithm Optimization and ILP Model Solution. 19-34 - Neil Urquhart, Emma Hart:
Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics. 35-52 - David Melder, John H. Drake, Sha Wang:
An Evolutionary Hyper-Heuristic for Airport Slot Allocation. 53-68 - Ferrante Neri, Alexander P. Turner:
A Fitness Landscape Analysis Approach for Reinforcement Learning in the Control of the Coupled Inverted Pendulum Task. 69-85 - Paul Mitchell, Gabriela Ochoa, Yuri Cossich Lavinas, Romain Louis Chassagne:
Local Optima Networks for Assisted Seismic History Matching Problems. 86-101 - Iman Rahimi, Amir H. Gandomi, Mohammad Reza Nikoo, Fang Chen:
Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems. 102-117 - Solofohanitra Rahamefy Andriamalala, Toky Axel Andriamizakason, Andry Rasoanaivo:
Multi-agent vs Classic System of an Electricity Mix Production Optimization. 118-128 - Ege de Bruin, Julian Hatzky, Babak Hosseinkhani Kargar, A. E. Eiben:
A Multi-brain Approach for Multiple Tasks in Evolvable Robots. 129-144 - Kirsty Montague, Emma Hart, Geoff Nitschke, Ben Paechter:
A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. 145-160 - Kehinde O. Babaagba, Mayowa Ayodele:
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware. 161-176 - Ali Deveci, Selim Yilmaz, Sevil Sen:
Evolving Lightweight Intrusion Detection Systems for RPL-Based Internet of Things. 177-193 - Kalthoum Karkazan, Haluk Rahmi Topcuoglu, Shaaban A. Sahmoud:
A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems. 194-209 - Feijoo Colomine Duran, Carlos Cotta, Antonio José Fernández Leiva:
Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization. 210-222 - Gabriel Fernandes, Nuno Lourenço, João Correia:
Reducing the Price of Stable Cable Stayed Bridges with CMA-ES. 223-236 - Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Sihem Mesnager, Stjepan Picek:
On the Evolution of Boomerang Uniformity in Cryptographic S-boxes. 237-252 - Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr:
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. 253-268 - João Correia, Gustavo Gama, João Tiago Guerrinha, Ricardo Cadime, Pedro Antero Carvalhido, Tiago Vieira, Nuno Lourenço:
Automatic Design of Telecom Networks with Genetic Algorithms. 269-284 - Ana Nikolikj, Carola Doerr, Tome Eftimov:
RF+clust for Leave-One-Problem-Out Performance Prediction. 285-301 - Mujtaba Hassan, Arish Sateesan, Jo Vliegen, Stjepan Picek, Nele Mentens:
Evolving Non-cryptographic Hash Functions Using Genetic Programming for High-speed Lookups in Network Security Applications. 302-318 - 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. 319-331
Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
- Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features. 335-350 - Ege de Bruin, Sarah L. Thomson, Daan van den Berg:
Frequency Fitness Assignment on JSSP: A Critical Review. 351-363 - Jakub Kudela, Martin Jurícek, Roman Parák:
A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods. 364-379 - Fu Xing Long, Diederick Vermetten, Bas van Stein, Anna V. Kononova:
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances. 380-395 - Mateus Boiani, Rafael Stubs Parpinelli, Márcio Dorn:
A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms. 396-410 - Raphael Patrick Prager, Heike Trautmann:
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. 411-425 - Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity. 426-441 - Andrejaana Andova, Tobias Benecke, Harald Ludwig, Tea Tusar:
Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes. 442-457
Computational Intelligence for Sustainability
- Giulia Di Capua, Carmine Bourelly, Claudio De Stefano, Francesco Fontanella, Filippo Milano, Mario Molinara, Nunzio Oliva, Francesco Porpora:
Using Genetic Programming to Learn Behavioral Models of Lithium Batteries. 461-474 - Antonio Agresta, Chiara Biscarini, Fabio Caraffini, Valentino Santucci:
An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length. 475-490 - Alejandro Peña, Alejandro Puerta, Isis Bonet, Fabio Caraffini, Mario Gongora, Ivan Ochoa:
A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. 491-506 - Alejandro Puerta, Santiago Horacio Hoyos, Isis Bonet, Fabio Caraffini:
An AI-Based Support System for Microgrids Energy Management. 507-518 - John Rego Hamilton, Anikó Ekárt, Alina Patelli:
Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. 519-535
Evolutionary Computation in Edge, Fog, and Cloud Computing
- Chen Wang, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, Kameron Christopher:
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. 539-555 - Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu:
A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling. 556-572 - Yuheng Chen, Tao Shi, Hui Ma, Gang Chen:
Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning. 573-587
Evolutionary Machine Learning
- Anthony Horgan, Karl Mason:
Evolving Neural Networks for Robotic Arm Control. 591-607 - Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer, Diego Oliva:
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training. 608-622 - Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. 623-639 - Stefano Sarti, Nuno Lourenço, Jason Adair, Penousal Machado, Gabriela Ochoa:
Under the Hood of Transfer Learning for Deep Neuroevolution. 640-655 - Pedro Carvalho, Bruno Ribeiro, Nuno M. Rodrigues, João E. Batista, Leonardo Vanneschi, Sara Silva:
Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers. 656-671 - Mahsa Mahdinejad, Aidan Murphy, Michael Kwaku Tetteh, Allan de Lima, Patrick Healy, Conor Ryan:
Grammar-Guided Evolution of the U-Net. 672-686 - Piotr Lipinski:
Explaining Recommender Systems by Evolutionary Interests Mix Modeling. 687-699
Machine Learning and AI in Digital Healthcare and Personalized Medicine
- David Rojas-Velazquez, Alberto Tonda, Itzel Rodríguez-Guerra, Aletta D. Kraneveld, Alejandro Lopez Rincon:
Multi-objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction. 703-717 - Andreea Avramescu, Manuel López-Ibáñez, Richard Allmendinger:
Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains. 718-733
Resilient Bio-inspired Algorithms
- Ahmed Almansoori, Muhanad Alkilabi, Elio Tuci:
Further Investigations on the Characteristics of Neural Network Based Opinion Selection Mechanisms for Robotics Swarms. 737-750
Soft Computing Applied to Games
- Brahim Driss, Jérôme Arjonilla, Hui Wang, Abdallah Saffidine, Tristan Cazenave:
Deep Reinforcement Learning for 5 ˟ 5 Multiplayer Go. 753-764 - Robert Gold, Henrique Branquinho, Erik Hemberg, Una-May O'Reilly, Pablo García-Sánchez:
Genetic Programming and Coevolution to Play the Bomberman™ Video Game. 765-779
Surrogate-Assisted Evolutionary Optimisation
- Andrea Villagra, Gabriel Luque:
A Surrogate Function in Cellular GA for the Traffic Light Scheduling Problem. 783-797 - Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa:
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. 798-814
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