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Ernesto Tarantino
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2020 – today
- 2024
- [j28]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino:
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine. Biomed. Signal Process. Control. 87(Part B): 105416 (2024) - 2023
- [j27]Antonio Della Cioppa, Ivan De Falco, Tomas Koutny, Umberto Scafuri, Martin Ubl, Ernesto Tarantino:
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. Appl. Soft Comput. 134: 110012 (2023) - [j26]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri, Ernesto Tarantino:
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. Sensors 23(6): 2957 (2023) - 2022
- [j25]Martin Ubl, Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri:
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. Sensors 22(23): 9445 (2022) - [c65]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino, Martin Ubl:
An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models. ISCC 2022: 1-6 - 2021
- [c64]Ivanoe De Falco, Antonio Della Cioppa, Angelo Marcelli, Umberto Scafuri, Luca Stellaccio, Ernesto Tarantino:
Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach. GECCO Companion 2021: 1708-1716 - [c63]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino, Martin Ubl:
Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. ISCC 2021: 1-6 - 2020
- [c62]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Exploiting multi-objective parallel extremal optimization features in dynamic load balancing. GECCO Companion 2020: 1712-1720 - [c61]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, Tomas Koutny, Michal Krcma:
A Grammatical Evolution Approach for Estimating Blood Glucose Levels. GLOBECOM (Workshops) 2020: 1-6 - [c60]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Dynamic Load Balancing Based on Multi-Objective Extremal optimization. ISPDC 2020: 134-141 - [i1]Ivan De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution. CoRR abs/2004.00553 (2020)
2010 – 2019
- 2019
- [j24]Ivanoe De Falco, Antonio Della Cioppa, A. Giugliano, Angelo Marcelli, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino:
A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. Appl. Soft Comput. 77: 316-328 (2019) - [j23]Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino:
Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes. Future Gener. Comput. Syst. 98: 377-391 (2019) - [j22]Ernesto Tarantino, Ivanoe De Falco, Umberto Scafuri:
A mobile personalized tourist guide and its user evaluation. J. Inf. Technol. Tour. 21(3): 413-455 (2019) - [j21]Andrea Casella, Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution. J. Parallel Distributed Comput. 133: 307-318 (2019) - [c59]Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri, Michal Krcma:
De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels. CBMS 2019: 269-274 - [c58]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization. IDCS 2019: 158-168 - [c57]Tomas Koutny, Martin Ubl, Ivan De Falco, Ernesto Tarantino, Umberto Scafuri, Antonio Della Cioppa, Michal Krcma:
Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels. ISCC 2019: 1056-1061 - 2018
- [j20]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino:
Genetic Programming-based induction of a glucose-dynamics model for telemedicine. J. Netw. Comput. Appl. 119: 1-13 (2018) - [c56]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino:
An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements. HEALTHINF 2018: 625-632 - [c55]Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino:
Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution. HEALTHINF 2018: 633-640 - [c54]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Effective processor load balancing using multi-objective parallel extremal optimization. GECCO (Companion) 2018: 1292-1299 - [c53]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, A. Giugliano, Tomas Koutny, Michal Krcma:
An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. ISCC 2018: 1158-1163 - [c52]Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe A. Trunfio:
Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes. ISCC 2018: 1187-1192 - 2017
- [c51]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Multi-objective parallel extremal optimization in processor load balancing for distributed programs. GECCO (Companion) 2017: 1796-1803 - [c50]Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Exploiting diversity in an asynchronous migration model for distributed differential evolution. GECCO (Companion) 2017: 1880-1887 - [c49]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa:
Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming. ISCC 2017: 284-289 - [c48]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs. PPAM (2) 2017: 176-188 - 2016
- [j19]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Parallel extremal optimization in processor load balancing for distributed applications. Appl. Soft Comput. 46: 187-203 (2016) - [j18]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino:
Optimizing Personalized Touristic Itineraries by a Multiobjective Evolutionary Algorithm. Int. J. Inf. Technol. Decis. Mak. 15(6): 1269-1312 (2016) - [c47]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa:
An asynchronous adaptive multi-population model for distributed differential evolution. CEC 2016: 5010-5017 - [c46]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino:
A Differential Evolution approach for classification of Multiple Sclerosis lesions. ISCC 2016: 141-146 - [c45]Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution. SITIS 2016: 643-651 - 2015
- [j17]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Extremal Optimization applied to load balancing in execution of distributed programs. Appl. Soft Comput. 30: 501-513 (2015) - [j16]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino:
Mapping of time-consuming multitask applications on a cloud system by multiobjective Differential Evolution. Parallel Comput. 48: 40-58 (2015) - [c44]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Parallel Extremal Optimization with Guided State Changes Applied to Load Balancing. EvoApplications 2015: 79-90 - [c43]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino:
A Multiobjective Evolutionary Algorithm for Personalized Tours in Street Networks. EvoApplications 2015: 115-127 - [c42]Eryk Laskowski, Marek S. Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik:
Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing. PPAM (1) 2015: 437-447 - 2014
- [j15]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino:
Two new fast heuristics for mapping parallel applications on cloud computing. Future Gener. Comput. Syst. 37: 1-13 (2014) - [j14]Ivan De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
An adaptive invasion-based model for distributed Differential Evolution. Inf. Sci. 278: 653-672 (2014) - [c41]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Improving Extremal Optimization in Load Balancing by Local Search. EvoApplications 2014: 51-62 - [c40]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Impact of the Topology on the Performance of Distributed Differential Evolution. EvoApplications 2014: 75-85 - [c39]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Using an adaptive invasion-based model for fast range image registration. GECCO 2014: 1095-1102 - [c38]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Extremal Optimization with Guided State Changes in Load Balancing of Distributed Programs. PDP 2014: 228-231 - 2013
- [c37]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Load Balancing in Distributed Applications Based on Extremal Optimization. EvoApplications 2013: 52-61 - [c36]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Adding Chaos to Differential Evolution for Range Image Registration. EvoApplications 2013: 344-353 - 2012
- [j13]Ivan De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Biological invasion-inspired migration in distributed evolutionary algorithms. Inf. Sci. 207: 50-65 (2012) - [e5]Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan Julián Merelo Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. Lecture Notes in Computer Science 7248, Springer 2012, ISBN 978-3-642-29177-7 [contents] - 2011
- [j12]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino:
A distributed evolutionary approach for multisite mapping on grids. Concurr. Comput. Pract. Exp. 23(10): 1146-1168 (2011) - [c35]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
A Model Based on Biological Invasions for Island Evolutionary Algorithms. Artificial Evolution 2011: 157-168 - [c34]Eryk Laskowski, Marek S. Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik:
Extremal Optimization Applied to Task Scheduling of Distributed Java Programs. EvoApplications (2) 2011: 61-70 - [e4]Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Rolf Drechsler, Muddassar Farooq, Jörn Grahl, Gary Greenfield, Christian Prins, Juan Romero, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Neil Urquhart, A. Sima Etaner-Uyar:
Applications of Evolutionary Computation - EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6625, Springer 2011, ISBN 978-3-642-20519-4 [contents] - 2010
- [j11]Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
A Distributed Bio-Inspired Method for Multisite Grid Mapping. Appl. Comput. Intell. Soft Comput. 2010: 505194:1-505194:10 (2010) - [j10]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino:
An adaptive multisite mapping for computationally intensive grid applications. Future Gener. Comput. Syst. 26(6): 857-867 (2010) - [c33]Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Extremal Optimization Approach Applied to Initial Mapping of Distributed Java Programs. Euro-Par (1) 2010: 180-191 - [c32]Eryk Laskowski, Marek S. Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik:
Distributed Java Programs Initial Mapping Based on Extremal Optimization. PARA (1) 2010: 75-85 - [e3]Cecilia Di Chio, Anthony Brabazon, Gianni A. Di Caro, Marc Ebner, Muddassar Farooq, Andreas Fink, Jörn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino, Neil Urquhart:
Applications of Evolutionary Computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6025, Springer 2010, ISBN 978-3-642-12241-5 [contents]
2000 – 2009
- 2009
- [c31]Ivan De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case. Artificial Evolution 2009: 1-12 - [c30]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Extremal Optimization as a Viable Means for Mapping in Grids. EvoWorkshops 2009: 41-50 - [c29]Ivanoe De Falco, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa:
An innovative perspective on mapping in grids. BADS@ICAC 2009: 27-36 - [e2]Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang:
Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings. Lecture Notes in Computer Science 5484, Springer 2009, ISBN 978-3-642-01128-3 [contents] - 2008
- [j9]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Ernesto Tarantino:
Differential Evolution as a viable tool for satellite image registration. Appl. Soft Comput. 8(4): 1453-1462 (2008) - [c28]Ivanoe De Falco, Antonio Della Cioppa, Francesco Donnarumma, Domenico Maisto, Roberto Prevete, Ernesto Tarantino:
CTRNN Parameter Learning using Differential Evolution. ECAI 2008: 783-784 - [c27]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Automatic Recognition of Hand Gestures with Differential Evolution. EvoWorkshops 2008: 265-274 - [e1]Michael O'Neill, Leonardo Vanneschi, Steven M. Gustafson, Anna Esparcia-Alcázar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Genetic Programming, 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4971, Springer 2008, ISBN 978-3-540-78670-2 [contents] - 2007
- [j8]Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Facing classification problems with Particle Swarm Optimization. Appl. Soft Comput. 7(3): 652-658 (2007) - [c26]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data. EuroGP 2007: 351-360 - [c25]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Satellite Image Registration by Distributed Differential Evolution. EvoWorkshops 2007: 251-260 - [c24]Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Multiobjective Differential Evolution for Mapping in a Grid Environment. HPCC 2007: 322-333 - [c23]Ivanoe De Falco, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa:
Distributed Differential Evolution for the Registration of Remotely Sensed Images. PDP 2007: 358-362 - [c22]Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa:
A Distributed Differential Evolution Approach for Mapping in a Grid Environment. PDP 2007: 442-449 - [c21]Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
A Multiobjective Evolutionary Approach for Multisite Mapping on Grids. PPAM 2007: 991-1000 - 2006
- [c20]Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Ernesto Tarantino:
A Genetic Programming Approach to Solomonoff's Probabilistic Induction. EuroGP 2006: 24-35 - [c19]Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Automatic Classification of Handsegmented Image Parts with Differential Evolution. EvoWorkshops 2006: 403-414 - 2005
- [j7]Ivan De Falco, Antonio Della Cioppa, Aniello Iazzetta, Ernesto Tarantino:
An evolutionary approach for automatically extracting intelligible classification rules. Knowl. Inf. Syst. 7(2): 179-201 (2005) - [c18]Ivan De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Gagliardi:
A new variable-length genome genetic algorithm for data clustering in semeiotics. SAC 2005: 923-927 - [c17]Ivan De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Gagliardi:
A novel grammar-based genetic programming approach to clustering. SAC 2005: 928-932 - [c16]Ivan De Falco, Ernesto Tarantino, Antonio Della Cioppa, Alessandro Passaro:
Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach. SAC 2005: 957-958 - [c15]Ivan De Falco, Antonio Della Cioppa, Alessandro Passaro, Ernesto Tarantino:
Genetic Programming for Inductive Inference of Chaotic Series. WILF 2005: 156-163 - [c14]Ivan De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Evaluation of Particle Swarm Optimization Effectiveness in Classification. WILF 2005: 164-171 - 2004
- [c13]Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Fontanella:
An Innovative Approach to Genetic Programming - based Clustering. WSC 2004: 55-64 - [c12]Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Gagliardi:
A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics. WSC 2004: 441-450 - 2002
- [j6]Ivan De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Discovering interesting classification rules with genetic programming. Appl. Soft Comput. 1(4): 257-269 (2002) - [j5]Ivan De Falco, Antonio Della Cioppa, Ernesto Tarantino:
Mutation-based genetic algorithm: performance evaluation. Appl. Soft Comput. 1(4): 285-299 (2002) - [c11]Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa:
Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach. IEEE Congress on Evolutionary Computation 2002: 231-236 - 2000
- [c10]Ivanoe De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa:
An evolutionary system for automatic explicit rule extraction. CEC 2000: 450-457 - [c9]Ivan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe Trautteur:
A Kolmogorov Complexity-based Genetic Programming Tool for String Compression. GECCO 2000: 427-434
1990 – 1999
- 1999
- [j4]Ivan De Falco, Antonio Della Cioppa, Aniello Iazzetta, Ernesto Tarantino:
A new mutation operator for evolutionary airfoil design. Soft Comput. 3(1): 44-51 (1999) - [c8]Ivan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, A. Iacuelli:
Towards a Simulation of Natural Mutation. GECCO 1999: 156-163 - 1998
- [j3]Alfredo Petrosino, Ernesto Tarantino:
Parallel Image Understanding Algorithms on MIMD Multicomputers. Computing 60(2): 91-108 (1998) - [c7]Ivan De Falco, Aniello Iazzetta, P. Natale, Ernesto Tarantino:
Evolutionary Neural Networks for Nonlinear Dynamics Modeling. PPSN 1998: 593-602 - 1997
- [j2]Ivan De Falco, Renato Del Balio, Ernesto Tarantino:
An Analysis of Parallel Heuristics for Task Allocation in Multicomputers. Computing 59(3): 259-276 (1997) - [c6]Ivan De Falco, M. Conte, Antonio Della Cioppa, Ernesto Tarantino, Giuseppe Trautteur:
Genetic Programming Estimates of Kolmogorov Complexity. ICGA 1997: 743-750 - 1996
- [c5]Ivan De Falco, Renato Del Balio, Antonio Della Cioppa, Ernesto Tarantino:
Breeder Genetic Algorithms for Airfoil Design Optimisation. International Conference on Evolutionary Computation 1996: 71-75 - [c4]Ivan De Falco, Antonio Della Cioppa, Renato Del Balio, Ernesto Tarantino:
Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design. PPSN 1996: 982-991 - 1995
- [c3]Ivanoe De Falco, Renato Del Balio, Ernesto Tarantino:
Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem. ICANNGA 1995: 380-383 - 1994
- [c2]Ivan De Falco, Renato Del Balio, Ernesto Tarantino:
Solving the Mapping Problem by Parallel Tabu Search. Applied Informatics 1994: 264-267 - [c1]Ivan De Falco, Renato Del Balio, Ernesto Tarantino, Roberto Vaccaro:
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search. International Conference on Evolutionary Computation 1994: 823-828 - 1992
- [j1]Ivan De Falco, Renato Del Balio, Ernesto Tarantino, Roberto Vaccaro:
Simulation of Genetic Algorithms on MIMD Multicomputers. Parallel Process. Lett. 2: 381-389 (1992)
Coauthor Index
aka: Ivan De Falco
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