MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems. - Mario Costa; Edmondo A. Minisci (EMO, 2003)

An Hybrid Neural/Genetic Approach to Continuous Multi-objective Optimization Problems. - Mario Costa; Edmondo A. Minisci; Eros Pasero (WIRN, 2003)

Multi-objective evolutionary optimization of subsonic airfoils by kriging approximation and evolution control. - Salvatore D'Angelo; Edmondo A. Minisci (Congress on Evolutionary Computation, 2005)

Orbit transfer manoeuvres as a test benchmark for comparison metrics of evolutionary algorithms. - Edmondo A. Minisci; Giulio Avanzini (IEEE Congress on Evolutionary Computation, 2009)

A dynamical system perspective on evolutionary heuristics applied to space trajectory optimization problems. - Massimiliano Vasile; Edmondo A. Minisci; Marco Locatelli 001 (IEEE Congress on Evolutionary Computation, 2009)

Memetic Strategies for Global Trajectory Optimisation. - Massimiliano Vasile; Edmondo A. Minisci (ISICA, 2009)

Evolutionary design of a full-envelope flight control system for an unstable fighter aircraft. - Giulio Avanzini; Edmondo A. Minisci (IEEE Congress on Evolutionary Computation, 2010)

Robust design of a re-entry unmanned space vehicle by multi-fidelity evolution control. - Edmondo A. Minisci; Massimiliano Vasile (GECCO, 2011)

An Inflationary Differential Evolution Algorithm for Space Trajectory Optimization. - Massimiliano Vasile; Edmondo A. Minisci; Marco Locatelli 001 (IEEE Trans. Evol. Comput., 2011)

Approximated Computation of Belief Functions for Robust Design Optimization - Massimiliano Vasile; Edmondo A. Minisci; Quirien Wijnands (CoRR, 2012)

Adaptive Inflationary Differential Evolution. - Edmondo A. Minisci; Massimiliano Vasile (IEEE Congress on Evolutionary Computation, 2014)

Multi-Population Inflationary Differential Evolution algorithm with Adaptive Local Restart. - Marilena Di Carlo; Massimiliano Vasile; Edmondo A. Minisci (CEC, 2015)

Spaceplane trajectory optimisation with evolutionary-based initialisation. - Christie Alisa Maddock; Edmondo A. Minisci (SSCI, 2016)

Computational Intelligence in Aerospace Science and Engineering [Guest Editorial]. - Massimiliano Vasile; Edmondo A. Minisci; Ke Tang (IEEE Comput. Intell. Mag., 2017)

Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation. - Cristian Greco; Lorenzo Gentile; Gianluca Filippi; Edmondo A. Minisci; Massimiliano Vasile; Thomas Bartz-Beielstein (CEC, 2019)

Structured-chromosome GA optimisation for satellite tracking. - Lorenzo Gentile; Cristian Greco; Edmondo A. Minisci; Thomas Bartz-Beielstein; Massimiliano Vasile (GECCO (Companion), 2019)

Intelligent Control: A Taxonomy. - Callum Wilson; Francesco Marchetti; Marilena Di Carlo; Annalisa Riccardi; Edmondo A. Minisci (ICSC, 2019)

A Hybrid Neural Network-Genetic Programming Intelligent Control Approach. - Francesco Marchetti; Edmondo A. Minisci (BIOMA, 2020)

Preliminary spacecraft design by means of Structured-Chromosome Genetic Algorithms. - Lorenzo Gentile; Gianluca Filippi; Edmondo A. Minisci; Thomas Bartz-Beielstein; Massimiliano Vasile (CEC, 2020)

High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm. - Lorenzo Gentile; Elisa Morales; Domenico Quagliarella; Edmondo A. Minisci; Thomas Bartz-Beielstein; Renato Tognaccini (CEC, 2020)

Towards Intelligent Control via Genetic Programming. - Francesco Marchetti; Edmondo A. Minisci; Annalisa Riccardi (IJCNN, 2020)

A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines. - Callum Wilson; Annalisa Riccardi; Edmondo A. Minisci (IJCNN, 2020)

A Review of Methods to Study Resilience of Complex Engineering and Engineered Systems. - 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 (IEEE Access, 2020)

Classifying Intelligence in Machines: A Taxonomy of Intelligent Control. - Callum Wilson; Francesco Marchetti; Marilena Di Carlo; Annalisa Riccardi; Edmondo A. Minisci (Robotics, 2020)

Adaptive multi-population inflationary differential evolution. - Marilena Di Carlo; Massimiliano Vasile; Edmondo A. Minisci (Soft Comput., 2020)

Inclusive Genetic Programming. - Francesco Marchetti; Edmondo A. Minisci (EuroGP, 2021)

Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation. - Francesco Marchetti; Callum Wilson; Cheyenne Powell; Edmondo A. Minisci; Annalisa Riccardi (EvoMUSART, 2021)

Analytical Benchmark Problems for Multifidelity Optimization Methods. - 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; et al. (CoRR, 2022)

Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. - Francesco Marchetti; Gloria Pietropolli; Federico Julian Camerota Verdù; Mauro Castelli; Edmondo A. Minisci (Appl. Soft Comput., 2024)