| 2008 |
|---|
| 22 | EE | Ernesto Mininno,
Francesco Cupertino,
David Naso:
Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization.
IEEE Trans. Evolutionary Computation 12(2): 203-219 (2008) |
| 2007 |
|---|
| 21 | EE | Michele Surico,
Uzay Kaymak,
David Naso,
Rommert Dekker:
A Bi-Objective Evolutionary Approach to Robust Scheduling.
FUZZ-IEEE 2007: 1-6 |
| 20 | EE | Francesco Cupertino,
Ernesto Mininno,
David Naso,
Biagio Turchiano,
Luigi Salvatore:
Compact GAs for neural network online training in tubular linear motor control.
IEEE Congress on Evolutionary Computation 2007: 1542-1547 |
| 19 | EE | Tim van Tongeren,
Uzay Kaymak,
David Naso,
Eelco van Asperen:
Q-learning in a competitive supply chain.
SMC 2007: 1211-1216 |
| 18 | EE | David Naso,
Michele Surico,
Biagio Turchiano:
Scheduling Production and Distribution of Rapidly Perishable Materials with Hybrid GA's.
Evolutionary Scheduling 2007: 465-483 |
| 17 | EE | David Naso,
Michele Surico,
Biagio Turchiano,
Uzay Kaymak:
Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete.
European Journal of Operational Research 177(3): 2069-2099 (2007) |
| 2006 |
|---|
| 16 | EE | Carlo Meloni,
David Naso,
Biagio Turchiano:
Setup coordination between two stages of a production system: A multi-objective evolutionary approach.
Annals OR 147(1): 175-198 (2006) |
| 2005 |
|---|
| 15 | EE | David Naso,
Biagio Turchiano,
Paolo Pantaleo:
A fuzzy-logic based optical sensor for online weld defect-detection.
IEEE Trans. Industrial Informatics 1(4): 259-273 (2005) |
| 14 | EE | David Naso,
Biagio Turchiano:
Multicriteria meta-heuristics for AGV dispatching control based on computational intelligence.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(2): 208-226 (2005) |
| 2004 |
|---|
| 13 | | Domenico Bellomo,
David Naso,
Robert Babuska:
Parameter Convergence in Adaptive Fuzzy Control.
ICINCO (1) 2004: 135-142 |
| 12 | | Guido Maione,
David Naso:
Using a Discrete-Event System Formalism for the Multi-Agent Control of Manufacturing Systems.
ICINCO (1) 2004: 84-91 |
| 11 | EE | Guido Maione,
David Naso:
Discrete-event modeling of heterarchical manufacturing control systems.
SMC (2) 2004: 1783-1788 |
| 10 | EE | David Naso,
Michele Surico,
Biagio Turchiano,
Uzay Kaymak:
Just-in-time production and delivery in supply chains: a hybrid evolutionary approach.
SMC (2) 2004: 1932-1937 |
| 9 | EE | Francesco Cupertino,
Vincenzo Giordano,
David Naso,
Biagio Turchiano:
A hybrid approach to adaptive fuzzy control based on genetic algorithms.
SMC (4) 2004: 3607-3612 |
| 8 | EE | Francesco Cupertino,
Vincenzo Giordano,
Ernesto Mininno,
David Naso,
Biagio Turchiano:
A neural visual servoing in uncalibrated environments for robotic manipulators.
SMC (6) 2004: 5362-5367 |
| 7 | EE | Francesco Cupertino,
Ernesto Mininno,
David Naso,
Biagio Turchiano,
Luigi Salvatore:
On-line genetic design of anti-windup unstructured controllers for electric drives with variable load.
IEEE Trans. Evolutionary Computation 8(4): 347-364 (2004) |
| 2003 |
|---|
| 6 | | Guido Maione,
David Naso:
A genetic approach for adaptive multiagent control in heterarchical manufacturing systems.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(5): 573-588 (2003) |
| 2002 |
|---|
| 5 | | Mariagrazia Dotoli,
Bruno Maione,
David Naso:
Fuzzy Sliding Mode Controllers Synthesis through Genetic Optimization.
Advances in Computational Intelligence and Learning 2002: 331-341 |
| 2001 |
|---|
| 4 | | Mariagrazia Dotoli,
Guido Maione,
David Naso,
Biagio Turchiano:
Fuzzy Sliding Mode Control for Inverted Pendulum Swing-Up With Restricted Travel.
FUZZ-IEEE 2001: 753-756 |
| 3 | | David Naso,
Guido Maione:
Recent Developments in the Application of Computational Intelligence to Multi-Agent Manufacturing Control.
FUZZ-IEEE 2001: 990-994 |
| 1999 |
|---|
| 2 | | Bruno Maione,
David Naso:
Multi-Agent Routing Control in Heterarchical Manufacturing Systems.
IIA/SOCO 1999 |
| 1998 |
|---|
| 1 | EE | Maria Pia Fanti,
Bruno Maione,
David Naso,
Biagio Turchiano:
Genetic multi-criteria approach to flexible line scheduling.
Int. J. Approx. Reasoning 19(1-2): 5-21 (1998) |
