Publications

V. V. de Melo, A. M. Nascimiento, G. Iacca, A co-evolutionary algorithm with adaptive penalty function for constrained optimization, Soft Computing, Springer, to appear

N. Fatima, S. Afrakhteh, G. Iacca, L. Demi, Automatic segmentation of 2D echocardiography ultrasound images by means of Pix2Pix Generative Adversarial Networks, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, to appear [link]

A. Ferigo, L. L. Custode, G. acca, Quality-Diversity Optimization of Decision Trees for Interpretable Reinforcement Learning, Neural Computing with Applications, Springer, to appear [link]

G. Tuccio, S. Afrakhteh, G. Iacca, L. Demi, Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation, IEEE Transactions on Medical Imaging, Volume 43, Issue 5, Pages 1690-1701, May 2024 [link]

E. Cunegatti, M. Farina, D. Bucur, G. Iacca, Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations, Transactions on Machine Learning Research, April 2024 [link] [preprint]

E. Sayar, G. Iacca, A. Knoll, Curriculum learning for robot manipulation tasks with sparse reward through environment shifts, IEEE Access, Volume 12, Pages 46626-46635, March 2024 [link] [webpage]

U. Khan, S. Afrakhteh, F. Mento, G. Mert, A. Smargiassi, R. Inchingolo. F. Tursi, V. Narvena, T. Perrone, G. Iacca, L. Demi, Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression, Computers in Biology and Medicine, Elsevier, Volume 169, Pages 107885, February 2024 [link]

H. Mo, G. Iacca, Evolutionary Optimization of Convolutional Extreme Learning Machine for Remaining Useful Life Prediction, Springer Nature Computer Science, Volume 5, Springer, Pages 1-17, December 2023 [link]

S. Afrakhteh, G. Iacca, L. Demi, A 2D Angular Interpolation Based on Radial Basis Functions (RBFs) for High Frame Rate Ultrafast Imaging, Journal of the Acoustical Society of America, AIP Publishing, Volume 154, Issue 3, Pages 3454-3465, November 2023 [link]

S. Khalfi, F. Caraffini, G. Iacca, Metaheuristics in the balance: a survey on memory-saving approaches for platforms with seriously limited resources, International Journal of Intelligent Systems, Hindawi, Volume 2023, November 2023 [link]

M. Crespi, A. Ferigo, L. L. Custode, G. Iacca, A Population-Based Approach for Multi-Agent Interpretable Reinforcement Learning, Applied Soft Computing, Elsevier, Volume 147, Pages 110758, November 2023 [link] [preprint]

H. Mo, G. Iacca, Evolutionary Neural Architecture Search on Transformers for RUL Prediction, Materials and Manufacturing Processes, Taylor & Francis, Volume 38, Issue 15, Pages 1881-1898, October 2023 [link]

A. Yaman, J. Z. Leibo, G. Iacca, S. W. Lee, The emergence of division of labor through decentralized social sanctioning, Proceedings of the Royal Society B: Biological Sciences, Pages 1-12 Volume 290, October 2023 [link] [preprint]

A. Ferigo, G. Iacca, E. Medvet, F. Pigozzi, Evolving Hebbian Learning Rules in Voxel-based Soft Robots, IEEE Transactions on Cognitive and Developmental Systems, Volume 15, Issue 3, Pages 1536-1546, September 2023 [link] [preprint]

U. Khan, S. Afrakhteh, F. Mento, N. Fatima, L. De Rosa, L. L. Custode, Z. Azam, E. Torri, G. Soldati, F. Tursi, V. N. Macioce, A. Smargiassi, R. Inchingolo, T. Perrone, G. Iacca, and L. Demi, Benchmark Methodological Approach for the Application of Artificial Intelligence to Lung Ultrasound data from COVID-19 Patients: from Frame to Prognostic-level, Ultrasonics,  Elsevier, Volume 132, Pages 106994, July 2023 [link]

S. Khalfi, G. Iacca, A. Draa, A single-solution–compact hybrid algorithm for continuous optimization, Memetic Computing, Springer, Volume 15, Pages 155–204, June 2023 [link]

H. Jalilian, S. Afrakhteh, G. Iacca, L. Demi, Increasing Frame Rate of Echocardiography Based on A Novel 2D Spatio-Temporal Meshless Interpolation, Ultrasonics, Elsevier, Volume 131, Pages 106953, May 2023 [link]

L. L. Custode, G. Iacca, Evolutionary learning of interpretable decision trees, IEEE Access, Volume 11, Pages 6169-6184, January 2023  [link] [preprint]

L. L. Custode, F. Mento, F. Tursi, A. Smargiassi, R. Inchingolo, T. Perrone, L. Demi, G. Iacca, Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees, Applied Soft Computing, Elsevier, Volume 133, Pages 109926, January 2023 [link]

S. Afrakhteh, G. Iacca, L. Demi. High Frame Rate Ultrasound Imaging by Means of Tensor Completion: Application to Echocardiography, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Volume: 70, Issue 1, Pages 41-51, January 2023 [link]

A. Yaman, T. van der Lee, G. Iacca, Online Distributed Evolutionary Optimization of Time Division Multiple Access Protocols, Expert Systems with Applications, Elsevier, Volume 211, Pages 118627, January 2023 [link] [preprint]

M. G. Omran, G. Iacca, An improved Jaya optimization algorithm with ring topology and population size reduction, Journal of Intelligent Systems, De Gruyter Volume 31, Issue 1, Pages 1178–1210, December 2022 [link]

H. Jalilian, S. Afrakhteh, G. Iacca, L. Demi, Temporal Super-Resolution of Echocardiography Using a Novel High-precision Non-polynomial Interpolation, Biomedical Signal Processing and Control, Elsevier, Volume 78, Pages 104003, September 2022 [link]

L. L. Custode, H. Mo, A. Ferigo, G. Iacca, Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction, Algorithms, MDPI, Volume 15, Issue 98, Pages 1-18, March 2022 [link]

A. Ferigo, E. Medvet, G. Iacca, Optimizing the Sensory Apparatus of Voxel-based Soft Robots through Evolution and Babbling, Springer Nature Computer Science, Volume 3, Pages 1-17, December 2021 [link]

S. Khalfi, A. Draa, G. Iacca, A Compact Compound Sinusoidal Differential Evolution Algorithm for Solving Optimisation Problems in Memory-Constrained Environments, Expert Systems with Applications, Elsevier, Volume 186, Pages 115705, December 2021 [link]

S. Khalfi, G. Iacca, A. Draa, On the use of single non-uniform mutation in lightweight metaheuristics algorithms, Soft Computing, Springer, Volume 26, Pages 2259–2275, November 2021 [link]

Giovanni Iacca, V. V. de Melo, Cluster-centroid-based mutation strategies for Differential Evolution, Soft Computing, Springer, Volume 26, Pages 1889–1921, November 2021 [link]

A. Yaman, G. Iacca, D. C. Mocanu, M. Coler, G. Fletcher, M. Pechenizkiy, Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions, Evolutionary Computation Journal, MIT Press,  Volume 29, Number 3, Pages 391-414, September 2021 [link] [preprint]

H. Mo, L. L. Custode, G. Iacca, Evolutionary Neural Architecture Search for Remaining Useful Life Prediction, Applied Soft Computing, Elsevier, Volume 108, Pages 107474, September 2021 [link]

G. Iacca, K. Konotopska, D. Bucur, A. Tonda, An evolutionary framework for maximizing influence propagation in social networks, Software Impacts, Elsevier, Volume 9, Pages 100107, August 2021 [link]

M. Lorandi, L. L. Custode, G. Iacca, Genetic Improvement of Routing Protocols for Delay Tolerant Networks, Transactions on Evolutionary Learning and Optimization, ACM, Volume 1, Issue 1, Pages 1-37, May 2021 [link] [preprint]

A. Yaman, G. Iacca, Distributed Embodied Evolution over Networks, Applied Soft Computing, Elsevier, Volume 101, Pages 106993, March 2021 [link] [preprint]

G. Iacca, V. C. dos Santos Junior, V. V. de Melo, An improved Jaya optimization algorithm with Lévy flight, Expert Systems with Applications, Elsevier, Volume 165, Pages 113902, March 2021 [link]

G. Iacca, F. Caraffini, Re-sampled Inheritance Compact Optimization, Knowledge-Based Systems, Elsevier, Volume 208, Pages 106416, November 2020 [link]

A. Ferigo, G. Iacca, A GPU-Enabled Compact Genetic Algorithm for Very Large-Scale Optimization Problems, Mathematics, MDPI, Volume 8, Issue 5, Pages 1-26, May 2020 [link]

F. Caraffini, G. Iacca, The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms, Mathematics, MDPI, Volume 8, Issue 5, Pages 1-32, May 2020 [link]

A. Hallawa, G. Iacca, C. Sarimana, T. Rahman, M. Cochez, G. Ascheid, Morphological Evolution for Pipe Inspection Using Robot Operating System (ROS), Materials and Manufacturing Processes, Taylor & Francis, Volume 35, Issue 6, Pages 714–724, March 2020 [link]

D. Bucur, G. Iacca, Improved search methods for assessing Delay-Tolerant Networks vulnerability to colluding strong heterogeneous attacks, Expert Systems with Applications, Volume 80, Pages 311-322, September 2017 [link]

H. Bosman, G. Iacca, H. Wörtche, A. Liotta, Spatial Anomaly Detection in Sensor Networks Using Neighborhood Information, Information Fusion, Elsevier, Volume 33, Pages 41-56, January 2017 [link]

D. Bucur, G. Iacca, M. Gaudesi, G. Squillero, A. Tonda, Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms, Applied Soft Computing, Elsevier, Volume 40, Pages 416-426, March 2016 [link] [preprint] [supporting information]

A. Maesani, G. Iacca, D. Floreano, Memetic Viability Evolution for Constrained Optimization, IEEE Transactions on Evolutionary Computation, Volume 20, Pages 125-144, February 2016 [link] [preprint] [supporting information]

H. Bosman, G. Iacca, A. Tejada, H. Wörtche, A. Liotta, Ensembles of Incremental Learners to Detect Anomalies in Ad Hoc Sensor Networks, Ad Hoc Networks, Elsevier, Volume 35, Pages 14-36, December 2015 [link]

D. Bucur, G. Iacca, P. T. De Boer, Characterizing Topological Bottlenecks for Data Delivery in CTP using Simulation-Based Stress Testing with Natural Selection, Ad Hoc Networks, Elsevier, Volume 30, Pages 22-45, July 2015 [link] [supporting information]

G. Iacca, F. L. Bakker, H. Wörtche, Real-time Magnetic Dipole Detection with Single Particle Optimization, Applied Soft Computing, Elsevier, Volume 23, Pages 460-473, October 2014 [link]

V. V. de Melo, G. Iacca, A modified Covariance Matrix Adaptation Evolution Strategy with adaptive penalty function and restart for constrained optimization, Expert Systems with Applications, Elsevier, Volume 41, Issue 16, Pages 7077-7094, November 2014 [link]

D. Bucur, G. Iacca, A. Tonda, G. Squillero, The Impact of Topology on Energy Consumption for Collection Tree Protocols: an Experimental Assessment through Evolutionary Computation, Applied Soft Computing, Elsevier, Volume 16, Issue 1, Pages 210-222, March 2014 [link] [supporting information]

G. Iacca, F. Caraffini, F. Neri, Multi-Strategy Coevolving Aging Particle Optimization, International Journal of Neural Systems, World Scientific, Volume 24, Issue 1, December 2013 [link] [preprint] [supporting information]

F. Caraffini, B. N. Passow, F. Neri, G. Iacca, Re-sampled Inheritance Search: High Performance despite the Simplicity, Soft Computing (Applications and Methodologies), Special Issue on Advances in Computational Intelligence (UKCI 2012), Springer, Volume 17, Issue 12, Pages 2235-2256, December 2013 [link]

G. Iacca, Distributed Optimization in Wireless Sensor Networks: an Island-Model Framework, Soft Computing (Applications and Methodologies), Special Issue on Advances in Computational Intelligence (UKCI 2012), Springer, Volume 17, Issue 12, Pages 2257-2277, December 2013 [link] [preprint]

F. Neri, E. Mininno, G. Iacca, Compact Particle Swarm Optimization, Information Sciences, Elsevier, Volume 239, Issue 1, Pages 96-121, August 2013 [link]

I. Poikolainen, G. Iacca, F. Caraffini, F. Neri, Focusing the search: a progressively shrinking memetic computing framework, International Journal of Innovative Computing and Applications, Inderscience, Volume 5, Number 3, Pages 127-142, August 2013 [link]

F. Caraffini, F. Neri, G. Iacca, A. Mol, Parallel Memetic Structures, Information Sciences, Elsevier, Volume 227, Issue 1, Pages 60-82, April 2013 [link]

G. Iacca, F. Caraffini, F. Neri, Memory-Saving Memetic Computing for Path Following Mobile Robots, Applied Soft Computing, Elsevier, Volume 13, Issue 4, Pages 2003-2016, April 2013 [link]

G. Iacca, F. Caraffini, F. Neri, Compact Differential Evolution Light, Journal of Computer Science and Technology, Springer, Volume 27, Issue 5, Pages 1056-1076, September 2012 [link]

G. Iacca, F. Neri, E. Mininno, Y. S. Ong, M. H. Lim, Ockham’s Razor in Memetic Computing: Three Stage Optimal Memetic Exploration, Information Sciences, Elsevier, Volume 188, Issue 1, Pages 17-43, April 2012 [link] [preprint]

G. Iacca, F. Neri, E. Mininno, Noise Analysis Compact Differential Evolution, International Journal of Systems Science, Taylor & Francis, Volume 43, Issue 7, Pages 1248-1267, July 2011 [link]

F. Neri, G. Iacca, E. Mininno, Disturbed Exploitation compact Differential Evolution for Limited Memory Optimization Problems, Information Sciences, Elsevier, Volume 181, Issue 12, Pages 2469-2487, July 2011 [link]

G. Iacca, E. Mininno, F. Neri, Composed Compact Differential Evolution, Evolutionary Intelligence, Springer, Volume 4, Issue 1, Pages 17-29, March 2011 [link]

S. Fioravanzo, G. Iacca, MAP-Elites for Constrained Optimization, A.J. Kulkarni et al. (Eds.), Constraint Handling in Metaheuristics and Applications, Springer, 2021 [link]

A. Hallawa, S. Schlupkothen, G. Iacca, G. Ascheid, On the Use of Evolutionary Algorithms for Localization and Mapping of Miniaturized Autonomous Sensory Agents for Infrastructure Monitoring in Smart Cities, Song et al. (Eds.), Big Data Analytics for Smart Cities: Cyber-Physical Systems, Machine Learning, and the Internet of Things, Elsevier, 2019 [link]

F. Neri, G. Iacca, E. Mininno, Compact Optimization, I. Zelinka, V. Snášel, A. Abraham (Eds.), Handbook of Optimization, Intelligent Systems, Vol. 38, Springer, 2013 [link]

S. Genetti, E. Ribaga, E. Cunegatti, Q. F. Lotito, G. Iacca, Influence Maximization in Hypergraphs using Multi-Objective Evolutionary Algorithms, Parallel Problem Solving from Nature, Springer, Hagenberg, to appear [preprint]

L. L. Custode, C. C. Rambaldi Migliore, M. Roveri G. Iacca, Comparing Large Language Models and Grammatical Evolution for Code Generation, Genetic and Evolutionary Computation Conference Companion, ACM, Melbourne, to appear

C. C. Rambaldi Migliore, O. Rota Stabelli, G. Iacca, Balancing human livability and bumblebee population in urban green areas via Agent-Based Model and Evolutionary Algorithms, Genetic and Evolutionary Computation Conference Companion, ACM, Melbourne, to appear

E. Barba, A. Yaman, G. Iacca, The Effect of Training Schedules on Morphological Robustness and Generalization, Genetic and Evolutionary Computation Conference Companion, ACM, Melbourne, to appear

V. V. de Melo, W. Banzhaf, G. Iacca, Accelerating GP Genome Evaluation Through Real Com- pilation with a Multiple Program Single Data Approach, Genetic and Evolutionary Computation Conference Companion, ACM, Melbourne, to appear

L. L. Custode, F. Caraffini, A. Yaman, G. Iacca, An investigation on the use of Large Lan- guage Models for hyperparameter tuning in Evolutionary Algorithms, Genetic and Evolutionary Computation Conference Companion, ACM, Melbourne, to appear

E. Cunegatti, L. L. Custode, G. Iacca, Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time,  Genetic and Evolutionary Computation Conference Companion Companion, ACM, Melbourne, to appear [preprint]

A. Ferigo, E. Cunegatti, G. Iacca, Neuron-centric Hebbian Learning, Genetic and Evolutionary Computation Conference, ACM, Melbourne, to appear [preprint]

L. L. Custode, I. De Falco, A. Della Cioppa, G. Iacca, U. Scafuri, NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks, Genetic and Evolutionary Computation Conference, ACM, Melbourne, to appear

E. Sayar, G. Iacca, A. Knoll, Multi-Objective Evolutionary Hindsight Experience Replay for Robot Manipulation Tasks, Genetic and Evolutionary Computation Conference, ACM, Melbourne, to appear

M. Farina, M. Mancini, E. Cunegatti, G. Liu, G. Iacca, E. Ricci, MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning, IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), to appear [preprint]

C. Della Santina, C. Hernandez Corbato, B. Sisman, Luis A. Leiva, L. F. D’Haro, G. Manzi, C. Becchio, A. Elamrani, M. Allrezaei, G. Castellano, D. V. Dimarogonas, A. Ghosh, S. Haesaert, S. Soudjani, S. Stroeve, P. Verschure, D. Bacciu, O. Deroy, B. Bahrami, C. Gallicchio, S. Hauert, R. Sanz, G. Iacca, S. Sigg, M Gasulla, L. Steels, and C. Sierra, Awareness in robotics: an early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside", European Robotics Forum, to appear [preprint]

G. Buzzetti, D. Zappetti, G. Iacca, A Reinforcement Learning method to minimize the damage on a falling Ballbot, European Robotics Forum, to appear

M. Hassan, L. L. Custode, K. S. Yildirim, G. Iacca, FedEdge - Federated Learning with Docker and Kubernetes for Scalable and Efficient Edge Computing, International Conference on Embedded Wireless Systems and Networks, ACM/IEEE, April 2024 [link]

R. Lunelli, G. Iacca, Low-Memory Matrix Adaptation Evolution Strategies exploiting gradient information and Lévy flight, Applications of Evolutionary Computation, Springer, Aberystwyth, April 2024 [link]

E. Sayar, V. Vintaykin, G. Iacca, A. Knoll, Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation, Applications of Evolutionary Computation, Springer, Aberystwyth, April 2024 [link]

M. Rossi, G. Iacca, L. Turchet, Towards real-time explainability in Music Information Retrieval, International Symposium on the Internet of Sounds, IEEE, Pisa, October 2023 [link]

S. Afrakhteh, G. Iacca, L. Demi, 2D/3D Echocardiography Frame Rate Enhancement by Means of a Novel Spatio-Temporal Reconstruction Technique, IEEE International Ultrasonics Symposium, Montreal, September 2023 [link]

S. Afrakhteh, G. Iacca, L. Demi, High Contrast and High Frame Rate Coherent Plane Wave Compounding by Means of 2D Spatio-Angular Interpolation Technique, IEEE International Ultrasonics Symposium, Montreal, September 2023 [link]

U. Khan, S. Afrakhteh, F. Mento, A. Smargiassi, R. Inchingolo. F. Tursi, V. Narvena, T. Perrone, G. Iacca, L. Demi, Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting, IEEE International Ultrasonics Symposium, Montreal, September 2023 [link]

G. Tuccio, S. Afrakhteh, G. Iacca, L. Demi, Relaxing Super Localization Frame Rate Requirements Utilizing a Novel 2D Interpolation Technique, IEEE International Ultrasonics Symposium, Montreal, September 2023 [link]

A. Bonomi, E. Turri, G. Iacca, Evolutionary F1 Race Strategy, Genetic and Evolutionary Computation Conference Companion, ACM, Lisbon, July 2023 [link]

A. Ferigo, G. Iacca, Self-Building Neural Networks, Genetic and Evolutionary Computation Conference Companion, ACM, Lisbon, July 2023 [preprint] [link]

A. Ferigo, L. L. Custode, G. Iacca, Quality Diversity Evolutionary Learning of Decision Trees, ACM/SIGAPP Symposium on Applied Computing, Tallin, March 2023 [preprint] [link]

S. Afrakhteh, H. Jalilian, G. Iacca, L. Demi, Increasing the Frame rate of Echocardiography Images Based on A Novel Interpolation Technique, IEEE International Ultrasonics Symposium, Venice, December 2022 [link]

S. Afrakhteh, G. Iacca, L. Demi, Increasing Frame Rate of Focused Ultrasound Imaging Based on Tensor Completion, IEEE International Ultrasonics Symposium, Venice, December 2022 [link]

S. Afrakhteh, F. Mento, U. Khan, L. De Rosa, N. Fatima, Z. Azam, F. Tursi, A. Smargiassi, R. Inchingolo, T. Perrone, G. Iacca, L. Demi, Automatic scoring of Covid-19 LUS videos using cross-correlation-based features aggregated from frame-level confidence levels obtained by a pre-trained deep neural network, IEEE International Ultrasonics Symposium, Venice, December 2022 [link]

A. Carbognin, L. L. Custode, G. Iacca, Genetic improvement of TCP congestion avoidance, International Conference on Bioinspired Optimization Methods and their Applications, Springer, Maribor, November 2022 [link]

H. Mo, G. Iacca, Accelerating Evolutionary Neural Architecture Search for Remaining Useful Life Prediction, International Conference on Bioinspired Optimization Methods and their Applications, Springer, Maribor, November 2022 [link]

M. Crespi, L. L. Custode, G. Iacca, Towards interpretable policies in multi-agent reinforcement learning tasks, International Conference on Bioinspired Optimization Methods and their Applications, Springer, Maribor, November 2022 [link]

L. L. Custode, F. Mento, S. Afrakhteh, F. Tursi, A. Smargiassi, R. Inchingolo, T. Perrone, G. Iacca, L. Demi, Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data, Proceedings of Meetings on Acoustics, Vol. 46, 020002, October 2022 [link]

E. Cunegatti, G. Iacca, D. Bucur, Large-scale multi-objective influence maximisation with network downscaling, Parallel Problem Solving from Nature, Springer, Dortmund, September 2022 [link] [preprint]

A. Ferigo, L. Soros, E. Medvet, G. Iacca, On the Entanglement between Evolvability and Fitness: an Experimental Study on Voxel-based Soft Robots, ALIFE, MIT Press, Trento, July 2022 [link]

J. Bacardit, S. Brownlee, S. Cagnoni, G. Iacca, J. McCall, D. Walker, The intersection of Evolutionary Computation and Explainable AI, Genetic and Evolutionary Computation Conference Companion, ACM, Boston, July 2022 [link]

L. L. Custode, G. Iacca, Interpretable AI for policy-making in pandemics, Genetic and Evolutionary Computation Conference Companion, ACM, Boston, July 2022 [link] [preprint]

M. Tessari, G. Iacca, Reinforcement Learning based adaptation for metaheuristics, Genetic and Evolutionary Computation Conference Companion, ACM, Boston, July 2022 [link] [preprint]

L. L. Custode, G. Iacca, Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs, Genetic and Evolutionary Computation Conference Companion, ACM, Boston, July 2022 [link] [preprint]

H. Mo, G. Iacca, Multi-Objective Optimization of Extreme Learning Machine for Remaining Useful Life Prediction, Applications of Evolutionary Computation, Springer, Madrid, April 2022 [link]

L. L. Custode, H. Mo, G. Iacca, Neuroevolution of Spiking Neural P Systems, Applications of Evolutionary Computation, Springer, Madrid, April 2022 [link]

L. L. Custode, G. Iacca, One run to attack them all: finding simultaneously multiple targeted adversarial perturbations, IEEE Symposium Series on Computational Intelligence, Orlando, December 2021 [link]

E. Bizzotto, A. Yaman, G. Iacca, Promoting Behavioral Diversity via Multi-Objective/Quality-Diversity Novelty Producing Synaptic Plasticity, IEEE Symposium Series on Computational Intelligence, Orlando, December 2021 [link]

L. L. Custode, G. Iacca, A co-evolutionary approach to interpretable reinforcement learning in environments with continuous action spaces, IEEE Symposium Series on Computational Intelligence, Orlando, December 2021 [link]

M. Lorandi, L. L. Custode, G. Iacca, Genetic Improvement of Routing in Delay Tolerant Networks, Genetic and Evolutionary Computation Conference Companion, ACM, Lille, July 2021 [link] [preprint]

H. Qiu, L. L. Custode, G. Iacca, Black-box adversarial attacks using Evolution Strategies, Genetic and Evolutionary Computation Conference Companion, ACM, Lille, July 2021 [link] [preprint]

K. Konotopska, G. Iacca, Graph-Aware Genetic Algorithms for Influence Maximization, Genetic and Evolutionary Computation Conference Companion, ACM, Lille, July 2021 [link] [preprint]

A. Hallawa, T. Born, A. Schmeink, G. Dartmann, A. Peine, L. Martin, G. Iacca, A. E. Eiben, G. Ascheid, Evo-RL: Evolutionary-Driven Reinforcement Learning, Genetic and Evolutionary Computation Conference Companion, ACM, Lille, July 2021 [link] [preprint]

E. Zardini, D. Zappetti, D. Zambrano, G. Iacca, D. Floreano, Seeking Diversity in Evolutionary Co-design of Soft Tensegrity Modular Robots,  Genetic and Evolutionary Computation Conference, ACM, Lille, July 2021 [link] [preprint]

Q. F. Lotito, L. L. Custode, G. Iacca, A Signal-Centric Perspective on the Evolution of Symbolic Communication, Genetic and Evolutionary Computation Conference, ACM, Lille, July 2021 [link] [preprint]

A. Ferigo, G. Iacca, E. Medvet, Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-based Soft Robots, Applications of Evolutionary Computation, Springer, Seville, April 2021 [preprint] [link]

G. Iacca, F. Lagioia, A. Loreggia and G. Sartor, A Genetic Approach to the Ethical Knob, International Conference on Legal Knowledge and Information Systems, Brno and Prague, December 2020 [link]

A. Bojeri, G. Iacca, Evolutionary Optimization of Drone Trajectories Based on Optimal Reciprocal Collision Avoidance, Conference of the Finnish-Russian University Cooperation in Telecommunications, IEEE, Trento, September 2020 [link] [presentation]

H. Mo, F. Lucca, J. Malacarne, G. Iacca, Multi-Head CNN-LSTM with Prediction Error Analysis for Remaining Useful Life Prediction, Conference of the Finnish-Russian University Cooperation in Telecommunications, IEEE, Trento, September 2020 [link] [presentation]

A. Yaman, G. Iacca, D. C. Mocanu, G. Fletcher, M. Pechenizkiy, Novelty Producing Synaptic Plasticity, Genetic and Evolutionary Computation Conference Companion, ACM, Cancún, July 2020 [link] [preprint]

A. Cacco, G. Iacca, Simulation-driven multi-objective evolution for traffic light optimization, Applications of Evolutionary Computation, Springer, Seville, April 2020 [link]

V. V. de Melo, A. L. Fazenda, L. F. Dal Piccol Sotto, G. Iacca, A MIMD interpreter for Genetic Programming, Applications of Evolutionary Computation, Springer, Seville, April 2020 [link]

A. Hallawa, S. Schug, G. Iacca, G. Ascheid, Evolving Instinctive Behaviour in Resource-Constrained Autonomous Robots Using Grammatical Evolution, Applications of Evolutionary Computation, Springer, Seville, April 2020 [link]

C. Saltori, Roy S., N. Sebe, G. Iacca, Regularized Evolutionary Algorithm for Dynamic Neural Topology Search, International Conference on Image Analysis and Processing, Springer, Trento, September 2019 [link] [preprint]

A. Yaman, G. Iacca, D. C. Mocanu, G. Fletcher, M. Pechenizkiy, Learning with Delayed Synaptic Plasticity, Genetic and Evolutionary Computation Conference, ACM, Prague, July 2019 [link] [preprint]

S. Fioravanzo, G. Iacca, Evaluating MAP-Elites on Constrained Optimization Problems, Genetic and Evolutionary Computation Conference Companion, ACM, Prague, July 2019 [link] [preprint]

G. Iacca, F. Caraffini, Compact Optimization Algorithms with Re-sampled Inheritance, Applications of Evolutionary Computation, Springer, Leipzig, March 2019 [link] [preprint]

A. Yaman, G. Iacca, F. Caraffini, A comparison of three Differential Evolution strategies in terms of early convergence with different population sizes, International Workshop on Global Optimization, AIP, Leiden, February 2019 [link] [extended results]

F. Caraffini, G. Iacca, A. Yaman, Improving (1+1)-Covariance Matrix Adaptation Evolution Strategy: a simple yet efficient approach, International Workshop on Global Optimization, AIP, Leiden, February 2019 [link] [extended results]

D. Bucur, G. Iacca, A. Marcelli, G. Squillero, A. Tonda, Evaluating Surrogate Models for Multi-Objective Influence Maximization in Social Networks, Genetic and Evolutionary Computation Conference Companion, ACM, Kyoto, July 2018 [link]

A. Yaman, D. Mocanu, G. Iacca, G. Fletcher, M. Pechenizkiy, Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution, Genetic and Evolutionary Computation Conference, ACM, Kyoto, July 2018 [link] [preprint]

A. Yaman, G. Iacca, M. Coler, G. Fletcher, M. Pechenizkiy, P. G. M. Baltus, Multi-strategy Differential Evolution, Applications of Evolutionary Computation, Springer, Parma, March 2018 [link]

D. Bucur, G. Iacca, A. Marcelli, G. Squillero, A. Tonda, Improving Multi-Objective Evolutionary Influence Maximization in Social Networks, Applications of Evolutionary Computation, Springer, Parma, March 2018 [link]

A. Hallawa, S. Schlupkothen, G. Iacca, G. Ascheid, Energy-Efficient Environment Mapping via Evolutionary Algorithm Optimized Multi-Agent Localization, Genetic and Evolutionary Computation Conference Companion, ACM, Berlin, July 2017 [link]

D. Bucur, G. Iacca, A. Marcelli, G. Squillero, A. Tonda, Multi-Objective Evolutionary Algorithms for Influence Maximization in Social Networks, Applications of Evolutionary Computation, Springer, Amsterdam, April 2017 (EvoStar/EvoApps Best Paper Award) [link]

A. Hallawa, A. Yaman, G. Iacca, G. Ascheid, A Framework for Knowledge Integrated Evolutionary Algorithms, Applications of Evolutionary Computation, Springer, Amsterdam, April 2017 [link] [preprint]

F. Caraffini, F. Neri, G. Iacca, Large Scale Problems in Practice: The effect of dimensionality on the interaction among variables, Applications of Evolutionary Computation, Springer, Amsterdam, April 2017 [link]

A. Yaman, A. Hallawa, M. Coler, G. Iacca, Presenting the ECO: Evolutionary Computation Ontology, Applications of Evolutionary Computation, Springer, Amsterdam, April 2017 [link]

V. Bevilacqua, N. Nuzzolese, E. Mininno, G. Iacca, Adaptive Bi-objective Genetic Programming for Data-driven System Modelling, International Conference on Intelligent Computing, Springer, Lanzhou, August 2016 [link]

J. Auerbach, G. Iacca, D. Floreano, Gaining Insight into Quality Diversity, Genetic and Evolutionary Computation Conference Companion, ACM, Denver, July 2016 [link]

G. Leclerc, J. Auerbach, G. Iacca, D. Floreano, The Seamless Peer And Cloud Evolution Framework, Genetic and Evolutionary Computation Conference, ACM, Denver, July 2016 [link]

D. Bucur, G. Iacca, Influence Maximization in Social Networks with Genetic Algorithms, Applications of Evolutionary Computation, Springer, Porto, April 2016 [link]

G. Iacca, F. Caraffini, F. Neri, Continuous Parameter Pools in Ensemble Differential Evolution, Symposium on Differential Evolution, IEEE, Cape Town, December 2015 [link]

V. Bevilacqua, F. Cassano, E. Mininno, G. Iacca, Optimizing Feed-Forward Neural Network Topology by Multi-Objective Evolutionary Algorithms: a Comparative Study on Biomedical Datasets, International Workshop on Artificial Life and Evolutionary Computation, Springer, Bari, September 2015 [link]

G. Iacca, E. Mininno, Introducing Kimeme, a Novel Platform for Multi-Disciplinary Multi-Objective Optimization, International Workshop on Artificial Life and Evolutionary Computation, Springer, Bari, September 2015 [link]

D. Bucur, G. Iacca, G. Squillero, A. Tonda, Black Holes and Revelations: Using Evolutionary Algorithms to Uncover Vulnerabilities in Disruption-Tolerant Networks, Applications of Evolutionary Computation, Springer, Copenaghen, March 2015 [link]

H. Bosman, A. Liotta, G. Iacca, H. Wörtche, Online Fusion of Incremental Learning for Wireless Sensor Networks, Workshop on Data Mining in Networks, IEEE, Shenzhen, December 2014 [link]

V. V. de Melo, G. Iacca, A CMA-ES-based 2-Stage Memetic Framework for Solving Constrained Optimization Problems, Symposium on Memetic Computing, IEEE, Orlando, December 2014 [link]

D. Bucur, G. Iacca, A. Tonda, G. Squillero, The Tradeoffs between Data Delivery Ratio and Energy Costs in Wireless Sensor Networks: A Multi-Objective Evolutionary Framework for Protocol Analysis, Genetic and Evolutionary Computation Conference, ACM, Vancouver, July 2014 [link]

G. Iacca, F. Neri, F. Caraffini, P. N. Suganthan, A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms, Applications of Evolutionary Computation, Springer, Granada, April 2014 [link]

I. Gholaminezhad, G. Iacca, A Multi-Objective Relative Clustering Genetic Algorithm with Adaptive Local/Global Search based on Genetic Relatedness, Applications of Evolutionary Computation, Springer, Granada, April 2014 [link]

H. Bosman, A. Liotta, G. Iacca, H. Wörtche, Online Extreme Learning on Fixed-point Sensor Networks, Workshop on Data Mining in Networks, IEEE, Dallas, December 2013 [link]

H. Bosman, A. Liotta, G. Iacca, H. Wörtche, Anomaly Detection in Sensor Systems Using Lightweight Machine Learning, International Conference on Systems, Men and Cybernetics, IEEE, Manchester, October 2013 [link]

F. Caraffini, F. Neri, J. Cheng, G. Zhang, L. Picinali, G. Iacca, E. Mininno, Super-fit Multicriteria Adaptive Differential Evolution, Congress on Evolutionary Computation, IEEE, Cancún, June 2013 [link]

F. Caraffini, G. Iacca, F. Neri, L. Picinali, E. Mininno, A CMA-ES Super-fit Scheme for the Re-sampled Inheritance Search, Congress on Evolutionary Computation, IEEE, Cancún, June 2013 [link]

G. Iacca, F. Caraffini, F. Neri, E. Mininno, Single Particle Algorithms for Continuous Optimization, Congress on Evolutionary Computation, IEEE, Cancún, June 2013 [link]

D. Bucur, G. Iacca, G. Squillero, A. Tonda, An Evolutionary Framework for Routing Protocol Analysis in Wireless Sensor Networks, Applications of Evolutionary Computation, Springer, Vienna, April 2013 [link]

G. Iacca, Introducing DOWSN: Distributed Optimization in Wireless Sensor Networks, UK Workshop on Computational Intelligence, IEEE, Edinburgh, September 2012 [link]

F. Caraffini, G. Iacca, F. Neri, E. Mininno, The Importance of Being Structured: a Comparative Study on Multi Stage Memetic Approaches, UK Workshop on Computational Intelligence, IEEE, Edinburgh, September 2012 [link]

F. Caraffini, G. Iacca, F. Neri, E. Mininno, Three Variants of Three Stage Optimal Memetic Exploration or Handling Non-Separable Fitness Landscapes, UK Workshop on Computational Intelligence, IEEE, Edinburgh, September 2012 [link]

I. Poikolainen, G. Iacca, F. Neri, E. Mininno, M. Weber, Shrinking Three Stage Optimal Memetic Exploration, International Conference on Bioinspired Methods and Their Applications, Springer, Bohinj, May 2012 [link]

G. Iacca, F. Caraffini. F. Neri, E. Mininno, Robot Base Disturbance Optimization with Compact Differential Evolution Light, Applications of Evolutionary Computation, Springer, Malaga, April 2012 [link]

G. Iacca, F. Neri, E. Mininno, Compact Bacterial Foraging Optimization, International Conference on Artificial Intelligence and Soft Computing, Springer, Zakopane, April 2012 [link]

R. Mallipeddi, G. Iacca, P. N. Suganthan, F. Neri, E. Mininno, Ensemble Strategies in Compact Differential Evolution, Congress on Evolutionary Computation, IEEE, New Orleans, June 2011 [link]

G. Iacca, F. Neri, E. Mininno, Opposition-Based Learning in Compact Differential Evolution, Applications of Evolutionary Computation, Springer, Turin, April 2011 [link]

G. Iacca, R. Mallipeddi, E. Mininno, F. Neri, P. N. Suganthan, Super-fit and Population Size Reduction in Compact Differential Evolution, Symposium on Memetic Computing, IEEE, Paris, April 2011 [link]

G. Iacca, R. Mallipeddi, E. Mininno, F. Neri, P. N. Suganthan, Global Supervision for Compact Differential Evolution, Symposium on Differential Evolution, IEEE, Paris, April 2011 [link]

S. Giampiccolo, F. Reali, G. Iacca, L. Marchetti, Robust parameter estimation and identifiability analysis with hybrid Neural ODEs in computational biology, Foundations of Systems Biology in Engineering, September 2024

S. Giampiccolo, G. Iacca, L. Marchetti, Supporting pharmacometrics applications by robust parameter estimation and identifiability analysis using hybrid Neural ODEs, Population Approach Group Europe, June 2024

S. Giampiccolo, F. Reali, G. Iacca, L. Marchetti, Integrating Neural ODEs in Quantitative Systems Pharmacology models, Annual Meeting of the Bioinformatics Italian Society, June 2024

J. Bacardit, S. Brownlee, S. Cagnoni, G. Iacca, J. McCall, D. Walker, Evolutionary Computation and Explainable AI Towards ECXAI 2023: A Year in Review, ACM SIGEVOlution, Volume 16, Issue 2, June 2023 [link]

E. Cunegatti, D. Bucur, G. Iacca, Pruning and initialization vs random pruning: Do they produce topologically different sparse neural networks?, International Conference on Machine Learning, Workshop on Sparse Neural Networks, May 2023

U. Khan, S. Afrakhteh, F. Mento, A. Smargiassi, R. Inchingolo. F. Tursi, V. Narvena, T. Perrone, G. Iacca, L. Demi, Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression, Meeting of the Acoustical Society of America, Boston, May 2023 [link]

S. Afrakhteh, H. Jalilian, G. Iacca, L. Demi, Application of a 2D Interpolation Technique to reduce the number of steering angles required for high-quality ultrasound images in plane-wave compounding, Meeting of the Acoustical Society of America, Boston, May 2023 [link]

J. Bacardit, S. Brownlee, S. Cagnoni, G. Iacca, J. McCall, D. Walker, Evolutionary Computation and Explainable AI: a year in review, Applications of Evolutionary Computation (Late Breaking Abstract), Springer, Brno, April 2023 [link]

M. Tessari, G. Iacca, Reinforcement Learning based adaptation for metaheuristics, COSEAL workshop, online, September 2022

A. Leszkiewicz, D. Bucur, C. Grimme, R. Michalski, L. Clever, J. Pohl, J. Rook, J. Bossek, M. Preuss, G. Squillero, S. Quer, A. Calabrese, G. Iacca, H. Kizgin, H. Trautmann, Social Influence Analysis (SIA) in Online Social Networks, Multidisciplinary International Symposium on Disinformation in Open Online Media, Boise, October 2022 [link]

L. L. Custode, G. Iacca, Interpretable Reinforcement Learning for fighting pandemics with social restrictions, PPSN 2022 Workshop on Data Science, Machine Learning and Optimization in Support of the Society of the Future (DSMLOSSF), Dortmund, September 2022

L. L. Custode, F. Mento, S. Afrakhteh, F. Tursi, A. Smargiassi, R. Inchingolo, T. Perrone, L. Demi, G. Iacca, Neuro-symbolic Interpretable AI for Automatic COVID-19 Patient-Stratification Based on Standardised Lung Ultrasound Data, Meeting of the Acoustical Society of America, Denver, May 2022 [link]

L. L. Custode, F. Mento, F. Tursi, A. Smargiassi, R. Inchingolo, T. Perrone, L. Demi, G. Iacca, Hybrid interpretable AI for automatic COVID-19 patient classification based on lung ultrasound data, Ital-IA, Torino, February 2022

A. Hallawa, T. Rahman, G. Iacca, G. Ascheid, Morphological Evolution for Pipe Inspection Using ROS, International Conference on Computer Methods in Materials Technology, Zakopane, January 2019

R. Zhou, J. Bacardit, S. Brownlee, S. Cagnoni, M. Fyvie, G. Iacca, J. McCall, N. van Stein, D. Walker, T. Hu, Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems [preprint]

S. Giampiccolo, F. Reali, A. Fochesato, G. Iacca, L. Marchetti, Robust parameter estimation and identifiability analysis with Hybrid Neural Ordinary Differential Equations in Computational Biology [preprint]

M. Farina, G. Franchi, G. Iacca, M. Mancini, E. Ricci: Frustratingly Easy Test-Time Adaptation of Vision-Language Models [preprint]

A. Ferigo, G. Nadizar, G. Iacca, E. Medvet, Totipotent Neural Controllers for Modular Soft Robots: Achieving Specialization in Body-Brain Co-Evolution through Hebbian Learning [preprint]

L. L. Custode, G. Iacca, Social Interpretable Reinforcement Learning [preprint]

G. Iacca, Memory-Saving Optimization Algorithms for Systems with Limited Hardware, PhD Thesis. University of Jyväskylä, December 2011 [link]