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ORCIDEdmondo A. Minisci
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2020 – today
- 2024
[j6]Francesco Marchetti
, Gloria Pietropolli, Federico Julian Camerota Verdù, Mauro Castelli, Edmondo A. Minisci:
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Appl. Soft Comput. 159: 111654 (2024)- 2022
- [i4]Laura Mainini, Andrea Serani, Markus P. Rumpfkeil, Edmondo A. Minisci, Domenico Quagliarella, Hayriye Pehlivan Solak, Sihmehmet Yildiz, S. Ficini, Riccardo Pellegrini, Francesco Di Fiore, Dean E. Bryson, Melike Nikbay, Matteo Diez, Phil Beran:
Analytical Benchmark Problems for Multifidelity Optimization Methods. CoRR abs/2204.07867 (2022) - 2021
- [c21]Francesco Marchetti, Edmondo A. Minisci:
Inclusive Genetic Programming. EuroGP 2021: 51-65 - [c20]Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo A. Minisci, Annalisa Riccardi:
Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation. EvoMUSART 2021: 187-202 - 2020
- [j5]S. Neda Naghshbandi, Liz Varga, Alan Purvis, Richard McWilliam, Edmondo A. Minisci, Massimiliano Vasile, Matthias Troffaes, Tabassom Sedighi, Weisi Guo, Ed Manley, David Huw Jones:
A Review of Methods to Study Resilience of Complex Engineering and Engineered Systems. IEEE Access 8: 87775-87799 (2020) - [j4]Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci:
Classifying Intelligence in Machines: A Taxonomy of Intelligent Control. Robotics 9(3): 64 (2020) - [j3]Marilena Di Carlo, Massimiliano Vasile, Edmondo A. Minisci:
Adaptive multi-population inflationary differential evolution. Soft Comput. 24(5): 3861-3891 (2020) - [c19]Francesco Marchetti, Edmondo A. Minisci:
A Hybrid Neural Network-Genetic Programming Intelligent Control Approach. BIOMA 2020: 240-254 - [c18]Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile:
Preliminary spacecraft design by means of Structured-Chromosome Genetic Algorithms. CEC 2020: 1-8 - [c17]Lorenzo Gentile, Elisa Morales, Domenico Quagliarella, Edmondo A. Minisci, Thomas Bartz-Beielstein, Renato Tognaccini:
High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm. CEC 2020: 1-9 - [c16]Francesco Marchetti, Edmondo A. Minisci, Annalisa Riccardi:
Towards Intelligent Control via Genetic Programming. IJCNN 2020: 1-8 - [c15]Callum Wilson, Annalisa Riccardi, Edmondo A. Minisci:
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines. IJCNN 2020: 1-7 - [e1]Bogdan Filipic, Edmondo A. Minisci, Massimiliano Vasile:
Bioinspired Optimization Methods and Their Applications - 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19-20, 2020, Proceedings. Lecture Notes in Computer Science 12438, Springer 2020, ISBN 978-3-030-63709-5 [contents] - [i3]Callum Wilson, Annalisa Riccardi, Edmondo A. Minisci:
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines. CoRR abs/2006.02986 (2020)
2010 – 2019
- 2019
- [c14]Cristian Greco, Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Massimiliano Vasile, Thomas Bartz-Beielstein:
Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation. CEC 2019: 497-505 - [c13]Lorenzo Gentile, Cristian Greco, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile:
Structured-chromosome GA optimisation for satellite tracking. GECCO (Companion) 2019: 1955-1963 - [c12]Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci:
Intelligent Control: A Taxonomy. ICSC 2019: 333-339 - 2017
- [j2]Massimiliano Vasile, Edmondo A. Minisci, Ke Tang:
Computational Intelligence in Aerospace Science and Engineering [Guest Editorial]. IEEE Comput. Intell. Mag. 12(4): 12-13 (2017) - 2016
- [c11]Christie Alisa Maddock, Edmondo A. Minisci:
Spaceplane trajectory optimisation with evolutionary-based initialisation. SSCI 2016: 1-8 - 2015
- [c10]Marilena Di Carlo, Massimiliano Vasile, Edmondo A. Minisci:
Multi-Population Inflationary Differential Evolution algorithm with Adaptive Local Restart. CEC 2015: 632-639 - 2014
- [c9]Edmondo A. Minisci, Massimiliano Vasile:
Adaptive Inflationary Differential Evolution. IEEE Congress on Evolutionary Computation 2014: 1792-1799 - 2012
- [i2]Massimiliano Vasile, Edmondo A. Minisci, Quirien Wijnands:
Approximated Computation of Belief Functions for Robust Design Optimization. CoRR abs/1207.3442 (2012) - 2011
- [j1]Massimiliano Vasile, Edmondo A. Minisci, Marco Locatelli:
An Inflationary Differential Evolution Algorithm for Space Trajectory Optimization. IEEE Trans. Evol. Comput. 15(2): 267-281 (2011) - [c8]Edmondo A. Minisci, Massimiliano Vasile:
Robust design of a re-entry unmanned space vehicle by multi-fidelity evolution control. GECCO 2011: 689-696 - [i1]Massimiliano Vasile, Edmondo A. Minisci, Marco Locatelli:
An inflationary differential evolution algorithm for space trajectory optimization. CoRR abs/1104.4731 (2011) - 2010
- [c7]Giulio Avanzini, Edmondo A. Minisci:
Evolutionary design of a full-envelope flight control system for an unstable fighter aircraft. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c6]Edmondo A. Minisci, Giulio Avanzini:
Orbit transfer manoeuvres as a test benchmark for comparison metrics of evolutionary algorithms. IEEE Congress on Evolutionary Computation 2009: 350-357 - [c5]Massimiliano Vasile, Edmondo A. Minisci, Marco Locatelli:
A dynamical system perspective on evolutionary heuristics applied to space trajectory optimization problems. IEEE Congress on Evolutionary Computation 2009: 2340-2347 - [c4]Massimiliano Vasile, Edmondo A. Minisci:
Memetic Strategies for Global Trajectory Optimisation. ISICA 2009: 180-190 - 2005
- [c3]Salvatore D'Angelo, Edmondo A. Minisci:
Multi-objective evolutionary optimization of subsonic airfoils by kriging approximation and evolution control. Congress on Evolutionary Computation 2005: 1262-1267 - 2003
- [c2]Mario Costa, Edmondo A. Minisci:
MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems. EMO 2003: 282-294 - [c1]Mario Costa, Edmondo A. Minisci, Eros Pasero:
An Hybrid Neural/Genetic Approach to Continuous Multi-objective Optimization Problems. WIRN 2003: 61-69
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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