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Giovanni Iacca
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Publications
- 2024
- [j43]Umair Khan, Sajjad Afrakhteh, Federico Mento, Gizem Mert, Andrea Smargiassi, Riccardo Inchingolo, Francesco Tursi, Veronica Narvena Macioce, Tiziano Perrone, Giovanni Iacca, Libertario Demi:
Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression. Comput. Biol. Medicine 169: 107885 (2024) - [j42]Hyunho Mo, Giovanni Iacca:
Evolutionary Optimization of Convolutional Extreme Learning Machine for Remaining Useful Life Prediction. SN Comput. Sci. 5(1): 54 (2024) - [j41]Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker:
Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 4(1): 1:1-1:2 (2024) - [i32]Leonardo Lucio Custode, Giovanni Iacca:
Social Interpretable Reinforcement Learning. CoRR abs/2401.15480 (2024) - [i31]Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra:
Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside". CoRR abs/2402.09030 (2024) - 2023
- [j40]Leonardo Lucio Custode, Giovanni Iacca:
Evolutionary Learning of Interpretable Decision Trees. IEEE Access 11: 6169-6184 (2023) - [j39]Leonardo Lucio Custode, Federico Mento, Francesco Tursi, Andrea Smargiassi, Riccardo Inchingolo, Tiziano Perrone, Libertario Demi, Giovanni Iacca:
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees. Appl. Soft Comput. 133: 109926 (2023) - [j38]Marco Crespi, Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca:
A population-based approach for multi-agent interpretable reinforcement learning. Appl. Soft Comput. 147: 110758 (2023) - [j37]Anil Yaman, Tim van der Lee, Giovanni Iacca:
Online distributed evolutionary optimization of Time Division Multiple Access protocols. Expert Syst. Appl. 211: 118627 (2023) - [j35]Andrea Ferigo, Giovanni Iacca, Eric Medvet, Federico Pigozzi:
Evolving Hebbian Learning Rules in Voxel-Based Soft Robots. IEEE Trans. Cogn. Dev. Syst. 15(3): 1536-1546 (2023) - [c71]Andrea Ferigo, Giovanni Iacca:
Self-Building Neural Networks. GECCO Companion 2023: 643-646 - [c70]Andrea Bonomi, Evelyn Turri, Giovanni Iacca:
Evolutionary F1 Race Strategy. GECCO Companion 2023: 1925-1932 - [c69]Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca:
Quality Diversity Evolutionary Learning of Decision Trees. SAC 2023: 425-432 - [i30]Andrea Ferigo, Giovanni Iacca:
Self-building Neural Networks. CoRR abs/2304.01086 (2023) - [i29]Elia Cunegatti, Doina Bucur, Giovanni Iacca:
Peeking inside Sparse Neural Networks using Multi-Partite Graph Representations. CoRR abs/2305.16886 (2023) - 2022
- [j34]Leonardo Lucio Custode, Hyunho Mo, Andrea Ferigo, Giovanni Iacca:
Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction. Algorithms 15(3): 98 (2022) - [j33]Sajjad Afrakhteh, Hamed Jalilian, Giovanni Iacca, Libertario Demi:
Temporal super-resolution of echocardiography using a novel high-precision non-polynomial interpolation. Biomed. Signal Process. Control. 78: 104003 (2022) - [j31]Andrea Ferigo, Eric Medvet, Giovanni Iacca:
Optimizing the Sensory Apparatus of Voxel-Based Soft Robots Through Evolution and Babbling. SN Comput. Sci. 3(2): 109 (2022) - [c68]Hyunho Mo, Giovanni Iacca:
Accelerating Evolutionary Neural Architecture Search for Remaining Useful Life Prediction. BIOMA 2022: 15-30 - [c67]Alberto Carbognin, Leonardo Lucio Custode, Giovanni Iacca:
Genetic Improvement of TCP Congestion Avoidance. BIOMA 2022: 114-126 - [c66]Marco Crespi, Leonardo Lucio Custode, Giovanni Iacca:
Towards Interpretable Policies in Multi-agent Reinforcement Learning Tasks. BIOMA 2022: 262-276 - [c65]Hyunho Mo, Giovanni Iacca:
Multi-objective Optimization of Extreme Learning Machine for Remaining Useful Life Prediction. EvoApplications 2022: 191-206 - [c64]Leonardo Lucio Custode, Hyunho Mo, Giovanni Iacca:
Neuroevolution of Spiking Neural P Systems. EvoApplications 2022: 435-451 - [c63]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable pipelines with evolutionary optimized modules for reinforcement learning tasks with visual inputs. GECCO Companion 2022: 224-227 - [c62]Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W:
McCall, David Walker: The intersection of evolutionary computation and explainable AI. GECCO Companion 2022: 1757-1762 - [c61]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable AI for policy-making in pandemics. GECCO Companion 2022: 1763-1769 - [c59]Elia Cunegatti, Giovanni Iacca, Doina Bucur:
Large-Scale Multi-objective Influence Maximisation with Network Downscaling. PPSN (2) 2022: 207-220 - [i28]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs. CoRR abs/2202.04943 (2022) - [i27]Leonardo Lucio Custode, Giovanni Iacca:
Interpretable AI for policy-making in pandemics. CoRR abs/2204.04256 (2022) - [i26]Elia Cunegatti, Giovanni Iacca, Doina Bucur:
Large-scale multi-objective influence maximisation with network downscaling. CoRR abs/2204.06250 (2022) - [i25]Anil Yaman, Tim van der Lee, Giovanni Iacca:
Online Distributed Evolutionary Optimization of Time Division Multiple Access Protocols. CoRR abs/2204.13190 (2022) - [i23]Anil Yaman, Joel Z. Leibo, Giovanni Iacca, Sang Wan Lee:
The emergence of division of labor through decentralized social sanctioning. CoRR abs/2208.05568 (2022) - [i22]Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca:
Quality Diversity Evolutionary Learning of Decision Trees. CoRR abs/2208.12758 (2022) - 2021
- [j28]Anil Yaman, Giovanni Iacca:
Distributed embodied evolution over networks. Appl. Soft Comput. 101: 106993 (2021) - [j27]Hyunho Mo, Leonardo Lucio Custode, Giovanni Iacca:
Evolutionary neural architecture search for remaining useful life prediction. Appl. Soft Comput. 108: 107474 (2021) - [j26]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy:
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. Evol. Comput. 29(3): 391-414 (2021) - [j23]Giovanni Iacca, Kateryna Konotopska, Doina Bucur, Alberto Tonda:
An evolutionary framework for maximizing influence propagation in social networks. Softw. Impacts 9: 100107 (2021) - [j22]Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic Improvement of Routing Protocols for Delay Tolerant Networks. ACM Trans. Evol. Learn. Optim. 1(1): 4:1-4:37 (2021) - [c58]Andrea Ferigo, Giovanni Iacca, Eric Medvet:
Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-Based Soft Robots. EvoApplications 2021: 210-226 - [c57]Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic improvement of routing in delay tolerant networks. GECCO Companion 2021: 35-36 - [c56]Quintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca:
A signal-centric perspective on the evolution of symbolic communication. GECCO 2021: 120-128 - [c55]Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid:
Evo-RL: evolutionary-driven reinforcement learning. GECCO Companion 2021: 153-154 - [c54]Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano:
Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots. GECCO 2021: 189-197 - [c53]Kateryna Konotopska, Giovanni Iacca:
Graph-aware evolutionary algorithms for influence maximization. GECCO Companion 2021: 1467-1475 - [c52]Hao Qiu, Leonardo Lucio Custode, Giovanni Iacca:
Black-box adversarial attacks using evolution strategies. GECCO Companion 2021: 1827-1833 - [c51]Edoardo Bizzotto, Anil Yaman, Giovanni Iacca:
Promoting Behavioral Diversity via Multi-Objective/Quality-Diversity Novelty Producing Synaptic Plasticity. SSCI 2021: 1-8 - [c50]Leonardo Lucio Custode, Giovanni Iacca:
One run to attack them all: finding simultaneously multiple targeted adversarial perturbations. SSCI 2021: 1-8 - [c49]Leonardo Lucio Custode, Giovanni Iacca:
A co-evolutionary approach to interpretable reinforcement learning in environments with continuous action spaces. SSCI 2021: 1-8 - [i21]Michela Lorandi, Leonardo Lucio Custode, Giovanni Iacca:
Genetic Improvement of Routing Protocols for Delay Tolerant Networks. CoRR abs/2103.07428 (2021) - [i20]Quintino Francesco Lotito, Leonardo Lucio Custode, Giovanni Iacca:
A Signal-Centric Perspective on the Evolution of Symbolic Communication. CoRR abs/2103.16882 (2021) - [i19]Ahmed Hallawa, Anil Yaman, Giovanni Iacca, Gerd Ascheid:
A Framework for Knowledge Integrated Evolutionary Algorithms. CoRR abs/2103.16897 (2021) - [i18]Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano:
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots. CoRR abs/2104.12175 (2021) - [i17]Kateryna Konotopska, Giovanni Iacca:
Graph-Aware Evolutionary Algorithms for Influence Maximization. CoRR abs/2104.14909 (2021) - [i16]Hao Qiu, Leonardo Lucio Custode, Giovanni Iacca:
Black-box adversarial attacks using Evolution Strategies. CoRR abs/2104.15064 (2021) - 2020
- [j21]Giovanni Iacca, Fabio Caraffini:
Re-sampled inheritance compact optimization. Knowl. Based Syst. 208: 106416 (2020) - [c47]Ahmed Hallawa, Simon Schug, Giovanni Iacca, Gerd Ascheid:
Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution. EvoApplications 2020: 369-383 - [c44]Hyunho Mo, Federico Lucca, Jonni Malacarne, Giovanni Iacca:
Multi-Head CNN-LSTM with Prediction Error Analysis for Remaining Useful Life Prediction. FRUCT 2020: 164-171 - [c43]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy:
Novelty producing synaptic plasticity. GECCO Companion 2020: 93-94 - [i15]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Novelty Producing Synaptic Plasticity. CoRR abs/2002.03620 (2020) - [i14]Anil Yaman, Giovanni Iacca:
Distributed Embodied Evolution in Networks of Agents. CoRR abs/2003.12848 (2020) - [i13]Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid:
EVO-RL: Evolutionary-Driven Reinforcement Learning. CoRR abs/2007.04725 (2020) - [i12]Leonardo Lucio Custode, Giovanni Iacca:
Evolutionary learning of interpretable decision trees. CoRR abs/2012.07723 (2020) - 2019
- [c41]Giovanni Iacca, Fabio Caraffini:
Compact Optimization Algorithms with Re-Sampled Inheritance. EvoApplications 2019: 523-534 - [c40]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Learning with delayed synaptic plasticity. GECCO 2019: 152-160 - [c38]Cristiano Saltori, Subhankar Roy, Nicu Sebe, Giovanni Iacca:
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search. ICIAP (1) 2019: 219-230 - [i10]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Learning with Delayed Synaptic Plasticity. CoRR abs/1903.09393 (2019) - [i9]Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy:
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. CoRR abs/1904.01709 (2019) - [i8]Cristiano Saltori, Subhankar Roy, Nicu Sebe, Giovanni Iacca:
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search. CoRR abs/1905.06252 (2019) - 2018
- [c37]Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda:
Improving Multi-objective Evolutionary Influence Maximization in Social Networks. EvoApplications 2018: 117-124 - [c36]Anil Yaman, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy:
Multi-strategy Differential Evolution. EvoApplications 2018: 617-633 - [c35]Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy:
Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. GECCO 2018: 569-576 - [c34]Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda:
Evaluating surrogate models for multi-objective influence maximization in social networks. GECCO (Companion) 2018: 1258-1265 - [i7]Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy:
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution. CoRR abs/1804.07234 (2018) - [i6]Giovanni Iacca, Fabio Caraffini:
Compact Optimization Algorithms with Re-sampled Inheritance. CoRR abs/1809.04343 (2018) - [i4]Andrea Maesani, Giovanni Iacca, Dario Floreano:
Memetic Viability Evolution for Constrained Optimization. CoRR abs/1810.02702 (2018) - [i3]Doina Bucur, Giovanni Iacca, Marco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda:
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms. CoRR abs/1810.02713 (2018) - [i2]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Multi-Strategy Coevolving Aging Particle Optimization. CoRR abs/1810.05018 (2018) - [i1]Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration. CoRR abs/1810.08669 (2018) - 2017
- [j20]Doina Bucur, Giovanni Iacca:
Improved search methods for assessing Delay-Tolerant Networks vulnerability to colluding strong heterogeneous attacks. Expert Syst. Appl. 80: 311-322 (2017) - [j19]Hedde H. W. J. Bosman, Giovanni Iacca, Arturo Tejada, Heinrich J. Wörtche, Antonio Liotta:
Spatial anomaly detection in sensor networks using neighborhood information. Inf. Fusion 33: 41-56 (2017) - [c33]Doina Bucur, Giovanni Iacca, Andrea Marcelli, Giovanni Squillero, Alberto Paolo Tonda:
Multi-objective Evolutionary Algorithms for Influence Maximization in Social Networks. EvoApplications (1) 2017: 221-233 - [c32]Anil Yaman, Ahmed Hallawa, Matt Coler, Giovanni Iacca:
Presenting the ECO: Evolutionary Computation Ontology. EvoApplications (1) 2017: 603-619 - [c31]Fabio Caraffini, Ferrante Neri, Giovanni Iacca:
Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables. EvoApplications (1) 2017: 636-652 - [c30]Ahmed Hallawa, Anil Yaman, Giovanni Iacca, Gerd Ascheid:
A Framework for Knowledge Integrated Evolutionary Algorithms. EvoApplications (1) 2017: 653-669 - [c29]Ahmed Hallawa, Stephan Schlupkothen, Giovanni Iacca, Gerd Ascheid:
Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization. GECCO (Companion) 2017: 1721-1726 - 2016
- [j18]Doina Bucur, Giovanni Iacca, Marco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda:
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms. Appl. Soft Comput. 40: 416-426 (2016) - [j17]Andrea Maesani, Giovanni Iacca, Dario Floreano:
Memetic Viability Evolution for Constrained Optimization. IEEE Trans. Evol. Comput. 20(1): 125-144 (2016) - [c28]Doina Bucur, Giovanni Iacca:
Influence Maximization in Social Networks with Genetic Algorithms. EvoApplications (1) 2016: 379-392 - [c27]Guillaume Leclerc, Joshua Evan Auerbach, Giovanni Iacca, Dario Floreano:
The Seamless Peer and Cloud Evolution Framework. GECCO 2016: 821-828 - [c26]Joshua Evan Auerbach, Giovanni Iacca, Dario Floreano:
Gaining Insight into Quality Diversity. GECCO (Companion) 2016: 1061-1064 - [c25]Vitoantonio Bevilacqua, Nicola Nuzzolese, Ernesto Mininno, Giovanni Iacca:
Adaptive Bi-objective Genetic Programming for Data-Driven System Modeling. ICIC (3) 2016: 248-259 - 2015
- [j16]Doina Bucur, Giovanni Iacca, Pieter-Tjerk de Boer:
Characterizing topological bottlenecks for data delivery in CTP using simulation-based stress testing with natural selection. Ad Hoc Networks 30: 22-45 (2015) - [j15]Hedde H. W. J. Bosman, Giovanni Iacca, Arturo Tejada, Heinrich J. Wörtche, Antonio Liotta:
Ensembles of incremental learners to detect anomalies in ad hoc sensor networks. Ad Hoc Networks 35: 14-36 (2015) - [c24]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
Black Holes and Revelations: Using Evolutionary Algorithms to Uncover Vulnerabilities in Disruption-Tolerant Networks. EvoApplications 2015: 29-41 - [c23]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Continuous Parameter Pools in Ensemble Differential Evolution. SSCI 2015: 1529-1536 - [c22]Giovanni Iacca, Ernesto Mininno:
Introducing Kimeme, a Novel Platform for Multi-disciplinary Multi-objective Optimization. WIVACE 2015: 40-52 - [c21]Vitoantonio Bevilacqua, Fabio Cassano, Ernesto Mininno, Giovanni Iacca:
Optimizing Feed-Forward Neural Network Topology by Multi-objective Evolutionary Algorithms: A Comparative Study on Biomedical Datasets. WIVACE 2015: 53-64 - 2014
- [j14]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
The impact of topology on energy consumption for collection tree protocols: An experimental assessment through evolutionary computation. Appl. Soft Comput. 16: 210-222 (2014) - [j13]Giovanni Iacca, Frank Lennart Bakker, Heinrich J. Wörtche:
Real-time magnetic dipole detection with single particle optimization. Appl. Soft Comput. 23: 460-473 (2014) - [j11]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Multi-Strategy coevolving aging Particle Optimization. Int. J. Neural Syst. 24(1) (2014) - [c20]Iman Gholaminezhad, Giovanni Iacca:
A Multi-Objective Relative Clustering Genetic Algorithm with Adaptive Local/Global Search based on Genetic Relatedness. EvoApplications 2014: 591-602 - [c19]Giovanni Iacca, Ferrante Neri, Fabio Caraffini, Ponnuthurai Nagaratnam Suganthan:
A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms. EvoApplications 2014: 615-626 - [c17]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
The tradeoffs between data delivery ratio and energy costs in wireless sensor networks: a multi-objectiveevolutionary framework for protocol analysis. GECCO 2014: 1071-1078 - [c16]Hedde H. W. J. Bosman, Giovanni Iacca, Heinrich J. Wörtche, Antonio Liotta:
Online Fusion of Incremental Learning for Wireless Sensor Networks. ICDM Workshops 2014: 525-532 - 2013
- [j10]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Memory-saving memetic computing for path-following mobile robots. Appl. Soft Comput. 13(4): 2003-2016 (2013) - [j9]Fabio Caraffini, Ferrante Neri, Giovanni Iacca, Aran Mol:
Parallel memetic structures. Inf. Sci. 227: 60-82 (2013) - [j8]Ferrante Neri, Ernesto Mininno, Giovanni Iacca:
Compact Particle Swarm Optimization. Inf. Sci. 239: 96-121 (2013) - [j7]Fabio Caraffini, Ferrante Neri, Benjamin N. Passow, Giovanni Iacca:
Re-sampled inheritance search: high performance despite the simplicity. Soft Comput. 17(12): 2235-2256 (2013) - [c15]Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Lorenzo Picinali, Ernesto Mininno:
A CMA-ES super-fit scheme for the re-sampled inheritance search. IEEE Congress on Evolutionary Computation 2013: 1123-1130 - [c14]Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno:
Single particle algorithms for continuous optimization. IEEE Congress on Evolutionary Computation 2013: 1610-1617 - [c13]Fabio Caraffini, Ferrante Neri, Jixiang Cheng, Gexiang Zhang, Lorenzo Picinali, Giovanni Iacca, Ernesto Mininno:
Super-fit Multicriteria Adaptive Differential Evolution. IEEE Congress on Evolutionary Computation 2013: 1678-1685 - [c12]Doina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda:
An Evolutionary Framework for Routing Protocol Analysis in Wireless Sensor Networks. EvoApplications 2013: 1-11 - [c11]Hedde H. W. J. Bosman, Antonio Liotta, Giovanni Iacca, Heinrich J. Wörtche:
Online Extreme Learning on Fixed-Point Sensor Networks. ICDM Workshops 2013: 319-326 - [c10]Hedde H. W. J. Bosman, Antonio Liotta, Giovanni Iacca, Heinrich J. Wörtche:
Anomaly Detection in Sensor Systems Using Lightweight Machine Learning. SMC 2013: 7-13 - [p1]Ferrante Neri, Giovanni Iacca, Ernesto Mininno:
Compact Optimization. Handbook of Optimization 2013: 337-364 - 2012
- [j5]Giovanni Iacca, Ferrante Neri, Ernesto Mininno:
Noise analysis compact differential evolution. Int. J. Syst. Sci. 43(7): 1248-1267 (2012) - [j4]Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in memetic computing: Three stage optimal memetic exploration. Inf. Sci. 188: 17-43 (2012) - [j3]Giovanni Iacca, Fabio Caraffini, Ferrante Neri:
Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead. J. Comput. Sci. Technol. 27(5): 1056-1076 (2012) - [c9]Giovanni Iacca, Fabio Caraffini, Ferrante Neri, Ernesto Mininno:
Robot Base Disturbance Optimization with Compact Differential Evolution Light. EvoApplications 2012: 285-294 - [c8]Giovanni Iacca, Ferrante Neri, Ernesto Mininno:
Compact Bacterial Foraging Optimization. ICAISC (SIDE-EC) 2012: 84-92 - [c7]Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno:
Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes. UKCI 2012: 1-8 - [c6]Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Ernesto Mininno:
The importance of being structured: A comparative study on multi stage memetic approaches. UKCI 2012: 1-8 - 2011
- [j2]Giovanni Iacca, Ernesto Mininno, Ferrante Neri:
Composed compact differential evolution. Evol. Intell. 4(1): 17-29 (2011) - [j1]Ferrante Neri, Giovanni Iacca, Ernesto Mininno:
Disturbed Exploitation compact Differential Evolution for limited memory optimization problems. Inf. Sci. 181(12): 2469-2487 (2011) - [c4]Rammohan Mallipeddi, Giovanni Iacca, Ponnuthurai Nagaratnam Suganthan, Ferrante Neri, Ernesto Mininno:
Ensemble strategies in Compact Differential Evolution. IEEE Congress on Evolutionary Computation 2011: 1972-1977 - [c3]Giovanni Iacca, Ferrante Neri, Ernesto Mininno:
Opposition-Based Learning in Compact Differential Evolution. EvoApplications (1) 2011: 264-273 - [c2]Giovanni Iacca, Rammohan Mallipeddi, Ernesto Mininno, Ferrante Neri, Ponnuthurai Nagaratnam Suganthan:
Super-fit and population size reduction in compact Differential Evolution. Memetic Computing 2011: 21-29 - [c1]Giovanni Iacca, Rammohan Mallipeddi, Ernesto Mininno, Ferrante Neri, Ponnuthurai Nagaratnam Suganthan:
Global supervision for compact Differential Evolution. SDE 2011: 25-32
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