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ORCID16th IJCCI 2024: Porto, Portugal
- Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe:
Proceedings of the 16th International Joint Conference on Computational Intelligence, IJCCI 2024, Porto, Portugal, November 20-22, 2024. SCITEPRESS 2024, ISBN 978-989-758-721-4
Invited Speakers
- Tome Eftimov:
Trustworthy Benchmarking for Black-Box Single-Objective Optimization. IJCCI 2024: 5 - Gabriela Ochoa:
Search Trajectories Illuminated. IJCCI 2024: 7 - Rita P. Ribeiro:
Predictive Maintenance for Industry 4.0 & 5.0. IJCCI 2024: 9
16th International Conference on Evolutionary Computation Theory and Applications
- Rui Zhao, Zhize Wu, Daan van den Berg, Matthias Thürer, Tianyu Liang, Ming Tan, Thomas Weise:
Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness Assignment. 15-26 - Jiayang Chen, Zhize Wu, Sarah L. Thomson, Thomas Weise:
Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment Problem. 27-37 - Cao Xiang, Zhize Wu, Daan van den Berg, Thomas Weise:
Randomized Local Search vs. NSGA-II vs. Frequency Fitness Assignment on The Traveling Tournament Problem. 38-49 - Valentino Santucci:
A Simple yet Effective Algorithm for the Asteroid Routing Problem. 50-59 - Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova:
Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. 60-71 - Seyedamirhossein Salehiamiri, Richard Allmendinger, Arijit De:
Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning. 72-83 - Teruhisa Nakashima, Hernán E. Aguirre, Kiyoshi Tanaka:
Studying the Relationship Between Crossover Features and Performance on MNK-Landscapes Using Regression Models. 84-95 - Michele Vanucci, Satchit Chatterji, Babak Hosseinkhani Kargar:
Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision. IJCCI 2024: 96-107 - Henning Cui, Jörg Hähner:
Cartesian Genetic Programming Is Robust Against Redundant Attributes in Datasets. 108-119 - Jacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova:
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points. 120-126 - Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor:
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. 127-138 - Quentin Vacher, Nicolas Beuve, Paul Allaire, Thibaut Marty, Mickaël Dardaillon, Karol Desnos:
Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning. 139-150 - Eryk Warchulski, Jaroslaw Arabas:
Alternative Step-Size Adaptation Rule for the Matrix Adaptation Evolution Strategy. 151-158 - Vincent A. Cicirello:
Optimizing Genetic Algorithms Using the Binomial Distribution. 159-169 - Tianyu Liang, Zhize Wu, Matthias Thürer, Markus Wagner, Thomas Weise:
Generating Small Instances with Interesting Features for the Traveling Salesperson Problem. 173-180 - Ruben Horn, Reitze Jansen, Okke van Eck, Daan van den Berg:
Separating the Yes- from the No-Instances in the Number Partitioning Problem. IJCCI 2024: 181-188 - Thambo Nyathi:
Automated Design of a Genetic Algorithm for Image Segmentation Using the Iterated Local Search. 189-196 - Hugo Alcaraz-Herrera, Michail-Antisthenis I. Tsompanas, Igor Balaz, Andrew Adamatzky:
Control of Biohybrid Actuators Using Neuroevolution. 197-204 - Vojtech Uher, Pavel Krömer:
Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification. 205-213 - Maomao Liang, Babooshka Shavazipour, Bhupinder Singh Saini, Michael Emmerich, Kaisa Miettinen:
A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods. 214-221 - Bilal Majeed, Jack McEllin, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan:
Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language Codes. 222-233 - Martha Isabel Escalona-Llaguno, Sergio M. Sarmiento-Rosales:
Educational Evolutionary Neural Architecture Search for Time Series Prediction. 234-241 - Sergio Sarmiento-Rosales, Jesús Leopoldo Llano García, Jesús Guillermo Falcón-Cardona, Raúl Monroy, Manuel Iván Casillas del Llano, Víctor Adrián Sosa-Hernández:
Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image Restoration. 242-249 - Iris Pijning, Levi Koppenhol, Danny Dijkzeul, Nielis Brouwer, Sarah L. Thomson, Daan van den Berg:
The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes. 250-260 - Ruben Horn, Daan van den Berg, Pieter Adriaans:
Fractal Analysis of the Subset-Sum Problem. 261-268 - Rik Timmer, Jesse Kommandeur, Jonathan Koutstaal, Eric S. Fraga, Daan van den Berg:
Genetic Programming for 5×5 Matrix Multiplication. 269-278 - Kalthoum Karkazan, Haluk Rahmi Topcuoglu, Shaaban A. Sahmoud:
A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems. 279-287 - Christian Nieber, Douglas Mota Dias, Enrique Naredo, Conor Ryan:
Step Size Control in Evolutionary Algorithms for Neural Architecture Search. 288-295 - Tanya Djavaherpour, Ali Naqvi, Stephen Kelly:
Tangled Program Graphs with Indexed Memory in Control Tasks with Short Time Dependencies. 296-303 - Gary B. Parker, Jay B. Nash:
Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric Speciation. 304-312 - Michael Köhler-Bußmeier, Lorenzo Capra:
Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets. 313-320 - Younes Boukacem, Hatem M. Abdelmoumen, Hodhaifa Benouaklil, Samy Ghebache, Boualem Hamroune, Mohammed Tirichine, Nassim Ameur, Malika Bessedik:
L-SAGA: A Learning Hyper-Heuristic Architecture for the Permutation Flow-Shop Problem. 321-329 - Vincent A. Cicirello:
Open Source Evolutionary Computation with Chips-n-Salsa. 330-337 - Himadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta:
Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume Optimization. 338-345 - Marko Durasevic, Francisco Javier Gil Gala:
Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming. 346-353 - Yuan Zheng, Jie Cheng, Chenglong Li:
ETA-Based Secondary Conflict-Free Local Path Replanning for Air Logistics Transportation. IJCCI 2024: 354-362 - George Mweshi, Nelishia Pillay:
Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge Transfer. 363-374 - Alexandros Tzanetos, Jakub Kudela:
Working on the Structural Components of Evolutionary Approaches. 375-382
16th International Conference on Fuzzy Computation Theory and Applications
- Julien Rosset, Laurent Donzé:
Approximated Fuzzy p-values by Bootstrapped Fuzzy Distributions and Fuzzy Hypotheses Testing. 387-395 - Shivani Singh:
Enhanced Missing Data Imputation Using Intuitionistic Fuzzy Rough-Nearest Neighbor Approach. 399-407
16th International Conference on Neural Computation Theory and Applications
- Kevin Swingler, Teri Rumble, Ross Goutcher, Paul Hibbard, Mark Donoghue, Dan Harvey:
Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture. 413-422 - Hannah Eckert, Daniel Haider, Martin Ehler, Peter Balazs:
Invertibility of ReLU-Layers: A Practical Approach. 423-429 - Mhd Irvan, Franziska Zimmer, Ryosuke Kobayashi, Maharage Nisansala Sevwandi Perera, Roberta Tamponi, Rie Shigetomi Yamaguchi:
Anomaly Detection in eSport Games Through Periodical In-Game Movement Analysis with Deep Recurrent Neural Network. 430-437 - Marco Cafiso, Paolo Paradisi:
Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs. 438-448 - Philipp Altmann, Julian Schönberger, Maximilian Zorn, Thomas Gabor:
Finding Strong Lottery Ticket Networks with Genetic Algorithms. 449-460 - Simeon Krastev, Aukkawut Ammartayakun, Kewal Jayshankar Mishra, Harika Koduri, Eric Schuman, Drew Morris, Yuan Feng, Sai Supreeth Reddy Bandi, Chun-Kit Ngan, Andrew Yeung, Jason Li, Nigel Ko, Fatemeh Emdad, Elke A. Rundensteiner, Heiton M. H. Ho, T. K. Wong, Jolly P. C. Chan:
META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data. IJCCI 2024: 461-474 - Ryotaro Kamimura:
Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural Networks. 475-487 - Lynda Ayachi:
Assessing Forecasting Model Robustness Through Curvature-Based Noise Perturbations. 488-495 - Nazanin Bakhshinejad, Uyen Trang Nguyen, Shahram Ghahremani, Reza Soltani:
A Graph-Based Deep Learning Model for the Anti-Money Laundering Task of Transaction Monitoring. 496-507 - Willem S. van Heerden:
Neuron Labeling for Self-Organizing Maps Using a Novel Example-Centric Algorithm with Weight-Centric Finalization. 508-519 - Daniel N. Nissani:
Contrastive Learning and Abstract Concepts: The Case of Natural Numbers. 523-530 - Aviv A. Nur, Chun-Kit Ngan, Rolf Bardeli:
FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data. 531-542 - Daniel Ruiru, Nicolas Jouandeau, Dickson Odhiambo Owuor:
LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments. 543-549 - Giovanni Paragliola, Patrizia Ribino, Maria Mannone:
A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions. 550-559 - Anca Ioana Muscalagiu:
Quantum Neural Network Design via Quantum Deep Reinforcement Learning. 560-567 - Corrado Mio, Siddhartha Shakya:
A Comparison of Advanced Machine Learning Models for Food Import Forecasting. 568-575 - Margarita Zaleshina, Alexander Zaleshin:
Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks. 576-583 - Anthonie Schaap, Sofoklis Kitharidis, Niki van Stein:
Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI. 584-592 - Hye Seon Jo, Ho Jun Lee, Ji Hun Park, Man Gyun Na:
AI-Based Preliminary Modeling for Failure Prediction of Reactor Protection System in Nuclear Power Plants. 593-599 - Jim O'Connor, Melanie Fernández:
Online Match Prediction in Shogi Using Deep Convolutional Neural Networks. 600-605 - Petr Hyner, Petr Marek, David Adamczyk, Jan Hula, Jan Sedivý:
Stealing Brains: From English to Czech Language Model. 606-612 - Carl Sandelius, Athanasios Pappas, Arezoo Sarkheyli-Hägele, Andreas Heuer, Magnus Johnsson:
Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models. 613-620 - Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy:
Unsupervised Feature Selection Using Extreme Learning Machine. 621-628 - Mahmoud M. Kishky, Hesham M. Eraqi, Khaled M. F. Elsayed:
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning. IJCCI 2024: 629-636
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