Table of Contents

• Trustworthy Benchmarking for Black-Box Single-Objective OptimizationTome Eftimov. 5
• Search Trajectories IlluminatedGabriela Ochoa. 7
• Predictive Maintenance for Industry 4.0 & 5.0Rita P. Ribeiro. 9
• Randomized Local Search for Two-Dimensional Bin Packing and a Negative Result for Frequency Fitness AssignmentRui Zhao, Zhize Wu, Daan van den Berg, Matthias Thürer, Tianyu Liang, Ming Tan, Thomas Weise 0001. 15-26 [doi]
• Frequency Fitness Assignment: Optimization Without Bias for Good Solution Outperforms Randomized Local Search on the Quadratic Assignment ProblemJiayang Chen, Zhize Wu, Sarah L. Thomson, Thomas Weise 0001. 27-37 [doi]
• Randomized Local Search vs. NSGA-II vs. Frequency Fitness Assignment on The Traveling Tournament ProblemCao Xiang, Zhize Wu, Daan van den Berg, Thomas Weise 0001. 38-49 [doi]
• A Simple yet Effective Algorithm for the Asteroid Routing ProblemValentino Santucci. 50-59 [doi]
• Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark SuiteHaoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bäck, Anna V. Kononova. 60-71 [doi]
• Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care PlanningSeyedamirhossein Salehiamiri, Richard Allmendinger 0001, Arijit De. 72-83 [doi]
• Studying the Relationship Between Crossover Features and Performance on MNK-Landscapes Using Regression ModelsTeruhisa Nakashima, Hernán E. Aguirre, Kiyoshi Tanaka. 84-95 [doi]
• Testing Emergent Bilateral Symmetry in Evolvable Robots with VisionMichele Vanucci, Satchit Chatterji, Babak Hosseinkhani Kargar. 96-107
• Cartesian Genetic Programming Is Robust Against Redundant Attributes in DatasetsHenning Cui, Jörg Hähner. 108-119 [doi]
• Sampling in CMA-ES: Low Numbers of Low Discrepancy PointsJacob de Nobel, Diederick Vermetten, Thomas H. W. Bäck, Anna V. Kononova. 120-126 [doi]
• REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement LearningPhilipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor. 127-138 [doi]
• Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory PlanningQuentin Vacher, Nicolas Beuve, Paul Allaire, Thibaut Marty, Mickaël Dardaillon, Karol Desnos. 139-150 [doi]
• Alternative Step-Size Adaptation Rule for the Matrix Adaptation Evolution StrategyEryk Warchulski, Jaroslaw Arabas. 151-158 [doi]
• Optimizing Genetic Algorithms Using the Binomial DistributionVincent A. Cicirello. 159-169 [doi]
• Generating Small Instances with Interesting Features for the Traveling Salesperson ProblemTianyu Liang, Zhize Wu, Matthias Thürer, Markus Wagner 0007, Thomas Weise 0001. 173-180 [doi]
• Separating the Yes- from the No-Instances in the Number Partitioning ProblemRuben Horn, Reitze Jansen, Okke Van Eck, Daan van den Berg. 181-188
• Automated Design of a Genetic Algorithm for Image Segmentation Using the Iterated Local SearchThambo Nyathi. 189-196 [doi]
• Control of Biohybrid Actuators Using NeuroevolutionHugo Alcaraz-Herrera, Michail-Antisthenis I. Tsompanas, Igor Balaz, Andrew Adamatzky. 197-204 [doi]
• Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape ClassificationVojtech Uher, Pavel Krömer. 205-213 [doi]
• A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization MethodsMaomao Liang, Babooshka Shavazipour, Bhupinder Singh Saini, Michael Emmerich 0001, Kaisa Miettinen. 214-221 [doi]
• Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language CodesBilal Majeed, Jack McEllin, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan. 222-233 [doi]
• Educational Evolutionary Neural Architecture Search for Time Series PredictionMartha Isabel Escalona-Llaguno, Sergio M. Sarmiento-Rosales. 234-241 [doi]
• Surrogate Modeling for Efficient Evolutionary Multi-Objective Neural Architecture Search in Super Resolution Image RestorationSergio Sarmiento-Rosales, Jesús Leopoldo Llano García, Jesús Guillermo Falcón-Cardona, Raúl Monroy, Manuel Iván Casillas del Llano, Víctor Adrián Sosa-Hernández. 242-249 [doi]
• The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance SizesIris Pijning, Levi Koppenhol, Danny Dijkzeul, Nielis Brouwer, Sarah L. Thomson, Daan van den Berg. 250-260 [doi]
• Fractal Analysis of the Subset-Sum ProblemRuben Horn, Daan van den Berg, Pieter Adriaans. 261-268 [doi]
• Genetic Programming for 5×5 Matrix MultiplicationRik Timmer, Jesse Kommandeur, Jonathan Koutstaal, Eric S. Fraga, Daan van den Berg. 269-278 [doi]
• A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization ProblemsKalthoum Karkazan, Haluk Rahmi Topcuoglu, Shaaban A. Sahmoud. 279-287 [doi]
• Step Size Control in Evolutionary Algorithms for Neural Architecture SearchChristian Nieber, Douglas Mota Dias, Enrique Naredo, Conor Ryan. 288-295 [doi]
• Tangled Program Graphs with Indexed Memory in Control Tasks with Short Time DependenciesTanya Djavaherpour, Ali Naqvi, Stephen Kelly. 296-303 [doi]
• Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric SpeciationGary B. Parker, Jay B. Nash. 304-312 [doi]
• Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-NetsMichael Köhler-Bußmeier, Lorenzo Capra. 313-320 [doi]
• L-SAGA: A Learning Hyper-Heuristic Architecture for the Permutation Flow-Shop ProblemYounes Boukacem, Hatem M. Abdelmoumen, Hodhaifa Benouaklil, Samy Ghebache, Boualem Hamroune, Mohammed Tirichine, Nassim Ameur, Malika Bessedik. 321-329 [doi]
• Open Source Evolutionary Computation with Chips-n-SalsaVincent A. Cicirello. 330-337 [doi]
• Trade Data Harmonization: A Multi-Objective Optimization Approach for Subcategory Alignment and Volume OptimizationHimadri Sikhar Khargharia, Sid Shakya, Dymitr Ruta. 338-345 [doi]
• Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic ProgrammingMarko Durasevic, Francisco Javier Gil Gala. 346-353 [doi]
• ETA-Based Secondary Conflict-Free Local Path Replanning for Air Logistics TransportationYuan Zheng, Jie Cheng, Chenglong Li. 354-362
• Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge TransferGeorge Mweshi, Nelishia Pillay. 363-374 [doi]
• Working on the Structural Components of Evolutionary ApproachesAlexandros Tzanetos, Jakub Kudela. 375-382 [doi]
• Approximated Fuzzy p-values by Bootstrapped Fuzzy Distributions and Fuzzy Hypotheses TestingJulien Rosset, Laurent Donzé. 387-395 [doi]
• Enhanced Missing Data Imputation Using Intuitionistic Fuzzy Rough-Nearest Neighbor ApproachShivani Singh. 399-407 [doi]
• Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net ArchitectureKevin Swingler, Teri Rumble, Ross Goutcher, Paul Hibbard, Mark Donoghue, Dan Harvey. 413-422 [doi]
• Invertibility of ReLU-Layers: A Practical ApproachHannah Eckert, Daniel Haider, Martin Ehler, Peter Balazs. 423-429 [doi]
• Anomaly Detection in eSport Games Through Periodical In-Game Movement Analysis with Deep Recurrent Neural NetworkMhd Irvan, Franziska Zimmer, Ryosuke Kobayashi, Maharage Nisansala Sevwandi Perera, Roberta Tamponi, Rie Shigetomi Yamaguchi. 430-437 [doi]
• Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free GraphsMarco Cafiso, Paolo Paradisi. 438-448 [doi]
• Finding Strong Lottery Ticket Networks with Genetic AlgorithmsPhilipp Altmann, Julian Schönberger, Maximilian Zorn, Thomas Gabor. 449-460 [doi]
• META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant DataSimeon 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. 461-474
• Searching for Idealized Prototype Learning for Interpreting Multi-Layered Neural NetworksRyotaro Kamimura. 475-487 [doi]
• Assessing Forecasting Model Robustness Through Curvature-Based Noise PerturbationsLynda Ayachi. 488-495 [doi]
• A Graph-Based Deep Learning Model for the Anti-Money Laundering Task of Transaction MonitoringNazanin Bakhshinejad, Uyen Trang Nguyen, Shahram Ghahremani, Reza Soltani. 496-507 [doi]
• Neuron Labeling for Self-Organizing Maps Using a Novel Example-Centric Algorithm with Weight-Centric FinalizationWillem S. van Heerden. 508-519 [doi]
• Contrastive Learning and Abstract Concepts: The Case of Natural NumbersDaniel N. Nissani. 523-530 [doi]
• FSL-LFMG: Few-Shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular DataAviv A. Nur, Chun-Kit Ngan, Rolf Bardeli. 531-542 [doi]
• LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial InstrumentsDaniel Ruiru, Nicolas Jouandeau, Dickson Odhiambo Owuor. 543-549 [doi]
• A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data DistributionsGiovanni Paragliola, Patrizia Ribino, Maria Mannone. 550-559 [doi]
• Quantum Neural Network Design via Quantum Deep Reinforcement LearningAnca Ioana Muscalagiu. 560-567 [doi]
• A Comparison of Advanced Machine Learning Models for Food Import ForecastingCorrado Mio, Siddhartha Shakya. 568-575 [doi]
• Spatial Learning and Overfitting in Visual Recognition and Route Planning TasksMargarita Zaleshina, Alexander Zaleshin. 576-583 [doi]
• Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AIAnthonie Schaap, Sofoklis Kitharidis, Niki van Stein. 584-592 [doi]
• AI-Based Preliminary Modeling for Failure Prediction of Reactor Protection System in Nuclear Power PlantsHye Seon Jo, Ho-Jun Lee, Ji Hun Park, Man Gyun Na. 593-599 [doi]
• Online Match Prediction in Shogi Using Deep Convolutional Neural NetworksJim O'Connor, Melanie Fernández. 600-605 [doi]
• Stealing Brains: From English to Czech Language ModelPetr Hyner, Petr Marek, David Adamczyk, Jan Hula, Jan Sedivý. 606-612 [doi]
• Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent ModelsCarl Sandelius, Athanasios Pappas, Arezoo Sarkheyli-Hägele, Andreas Heuer, Magnus Johnsson. 613-620 [doi]
• Unsupervised Feature Selection Using Extreme Learning MachineMamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy. 621-628 [doi]
• End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-LearningMahmoud M. Kishky, Hesham M. Eraqi, Khaled M. F. Elsayed. 629-636