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ORCIDPier Luca Lanzi
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- affiliation: Polytechnic University of Milan, Italy
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2020 – today
- 2022
[j40]Mattia Crippa, Pier Luca Lanzi
, Fabio Marocchi:
An analysis of Single-Player Monte Carlo Tree Search performance in Sokoban. Expert Syst. Appl. 192: 116224 (2022)- [c130]Paola Mussida, Pier Luca Lanzi:
A computational tool for engineer dropout prediction. EDUCON 2022: 1571-1576 - 2021
- [c129]Francesco Venco, Pier Luca Lanzi:
An Agent-Based Approach for Procedural Puzzle Generation in Graph-Based Maps. CoG 2021: 1-8 - [c128]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano:
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. IJCNN 2021: 1-8 - [c127]Eleonora Chitti, N. Alberto Borghese, Federica Anello, Pier Luca Lanzi, Fabrizia Corona, Giovanni Filocamo, Michaela Foà, Antonella Petaccia, Amalia Lopopolo:
V-Arcade: design and development of a serious games framework to support the upper limbs rehabilitation. SEGAH 2021: 1-8 - [i10]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano:
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. CoRR abs/2105.02966 (2021) - [i9]Edoardo Giacomello, Michele Cataldo, Daniele Loiacono, Pier Luca Lanzi:
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. CoRR abs/2110.01474 (2021) - 2020
- [j39]Camilla Colombo, Nicoletta Di Blas, Ioannis Gkolias, Pier Luca Lanzi, Daniele Loiacono, Erica Stella:
An Educational Experience to Raise Awareness About Space Debris. IEEE Access 8: 85162-85178 (2020) - [c126]Fabrizia Corona, Alex De Vita, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Lower Limb Rehabilitation in Juvenile Idiopathic Arthritis using Serious Games. CoG 2020: 336-343 - [c125]Pier Luca Lanzi, Daniele Loiacono:
Asking Students to Do All the Work: An Analysis of a Fully Peer-Assessed Course on Game Design and Development. FDG 2020: 94:1-94:10 - [c124]Umberto Picariello, Daniele Loiacono, Fabio Mosca, Pier Luca Lanzi:
A Framework to Create Collaborative Games for Team Building using Procedural Content Generation. SSCI 2020: 2365-2372 - [i8]Fabrizia Corona, Alex De Vita, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Lower Limb Rehabilitation in Juvenile Idiopathic Arthritis using Serious Games. CoRR abs/2006.02187 (2020)
2010 – 2019
- 2019
- [c123]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono:
Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. CoG 2019: 1-8 - [c122]Pier Luca Lanzi:
Evaluating the Complexity of Players' Strategies using MCTS Iterations. CoG 2019: 1-8 - [c121]Luca Favano, Mark J. Carman, Pier Luca Lanzi:
TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge. CLEF (Working Notes) 2019 - 2018
- [j38]Stefano Di Palma, Pier Luca Lanzi:
Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone. IEEE Trans. Games 10(3): 317-332 (2018) - [c120]Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono:
An Integrated Framework for AI Assisted Level Design in 2D Platformers. GEM 2018: 1-9 - [c119]Fabrizia Corona, Rocco M. Chiuri, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Serious Games for Wrist Rehabilitation in Juvenile Idiopathic Arthritis. GEM 2018: 35-42 - [c118]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono:
DOOM Level Generation Using Generative Adversarial Networks. GEM 2018: 316-323 - [i7]Antonio Umberto Aramini, Pier Luca Lanzi, Daniele Loiacono:
An Integrated Framework for AI Assisted Level Design in 2D Platformers. CoRR abs/1804.09153 (2018) - [i6]Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono:
DOOM Level Generation using Generative Adversarial Networks. CoRR abs/1804.09154 (2018) - [i5]Fabrizia Corona, Rocco M. Chiuri, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Serious Games for Wrist Rehabilitation in Juvenile Idiopathic Arthritis. CoRR abs/1805.00901 (2018) - [i4]Stefano Di Palma, Pier Luca Lanzi:
Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone. CoRR abs/1807.06813 (2018) - 2017
- [r2]Pier Luca Lanzi:
Classifier Systems. Encyclopedia of Machine Learning and Data Mining 2017: 217-224 - 2016
- [j37]Michele Pirovano, Elif Sürer, Renato Mainetti, Pier Luca Lanzi, N. Alberto Borghese:
Exergaming and rehabilitation: A methodology for the design of effective and safe therapeutic exergames. Entertain. Comput. 14: 55-65 (2016) - [j36]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. Neural Process. Lett. 44(1): 125-147 (2016) - [j35]Michele Pirovano, Renato Mainetti, Gabriel Baud-Bovy, Pier Luca Lanzi, N. Alberto Borghese:
Intelligent Game Engine for Rehabilitation (IGER). IEEE Trans. Comput. Intell. AI Games 8(1): 43-55 (2016) - 2015
- [j34]Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono:
TrackGen: An interactive track generator for TORCS and Speed-Dreams. Appl. Soft Comput. 28: 550-558 (2015) - [j33]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Rule reduction by selection strategy in XCS with adaptive action map. Evol. Intell. 8(2-3): 71-87 (2015) - [j32]Pier Luca Lanzi, Daniele Loiacono:
XCSF with tile coding in discontinuous action-value landscapes. Evol. Intell. 8(2-3): 117-132 (2015) - [c117]Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Will Neil Browne, Keiki Takadama:
How should Learning Classifier Systems cover a state-action space? CEC 2015: 3012-3019 - [c116]Alice Cancer, Silvia Bonacina, Maria Luisa Lorusso, Pier Luca Lanzi, Alessandro Antonietti:
Rhythmic Reading Training (RRT) - A Computer-Assisted Intervention Program for Dyslexia. MindCare 2015: 249-258 - [p3]Nunzio Alberto Borghese, Pier Luca Lanzi, Renato Mainetti, Michele Pirovano, Elif Sürer:
Algorithms Based on Computational Intelligence for Autonomous Physical Rehabilitation at Home. Advances in Neural Networks 2015: 243-251 - [i3]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers. CoRR abs/1508.07700 (2015) - 2014
- [j31]Michele Pirovano, Pier Luca Lanzi:
Fuzzy Tactics: A scripting game that leverages fuzzy logic as an engaging game mechanic. Expert Syst. Appl. 41(13): 6029-6038 (2014) - [c115]Luca Galli, Pier Luca Lanzi, Daniele Loiacono:
Applying data mining to extract design patterns from Unreal Tournament levels. CIG 2014: 1-8 - [c114]Pier Luca Lanzi, Daniele Loiacono, Riccardo Stucchi:
Evolving maps for match balancing in first person shooters. CIG 2014: 1-8 - [c113]Pier Luca Lanzi:
Learning classifier systems: a gentle introduction. GECCO (Companion) 2014: 407-430 - [c112]Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama:
Complete action map or best action map in accuracy-based reinforcement learning classifier systems. GECCO 2014: 557-564 - [c111]Matteo Hessel, Fabio Ortalli, Francesco Borgatelli, Pier Luca Lanzi:
Automatic Tuning of Computational Models. SIMULTECH (Selected Papers) 2014: 43-64 - 2013
- [j30]Luigi Cardamone, Pier Luca Lanzi, Daniele Loiacono, Enrique Onieva:
Advanced overtaking behaviors for blocking opponents in racing games using a fuzzy architecture. Expert Syst. Appl. 40(16): 6447-6458 (2013) - [c110]Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Ant Colony Optimization for mapping, scheduling and placing in reconfigurable systems. AHS 2013: 47-54 - [c109]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Simple compact genetic algorithm for XCS. IEEE Congress on Evolutionary Computation 2013: 1718-1723 - [c108]Pier Luca Lanzi, Daniele Loiacono, Emanuele Parini, Federico Sannicoló, Davide Jones, Claudio Scamporlino:
Tuning mobile game design using data mining. IGIC 2013: 122-129 - [c107]Michele Pirovano, Pier Luca Lanzi, Renato Mainetti, N. Alberto Borghese:
The design of a comprehensive game engine for rehabilitation. IGIC 2013: 209-215 - [c106]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Selection strategy for XCS with adaptive action mapping. GECCO 2013: 1085-1092 - [c105]Michele Pirovano, Pier Luca Lanzi, Renato Mainetti, Nunzio Alberto Borghese:
IGER: A Game Engine Specifically Tailored to Rehabilitation. GFHEU 2013: 85-98 - [c104]Michele Pirovano, Carl Yuheng Ren, Iuri Frosio, Pier Luca Lanzi, Victor Adrian Prisacariu, David William Murray, N. Alberto Borghese:
Robust Silhouette Extraction from Kinect Data. ICIAP (1) 2013: 642-651 - [c103]N. Alberto Borghese, Renato Mainetti, Michele Pirovano, Pier Luca Lanzi:
An intelligent game engine for the at-home rehabilitation of stroke patients. SeGAH 2013: 1-8 - [p2]Julian Togelius, Alex J. Champandard, Pier Luca Lanzi, Michael Mateas, Ana Paiva, Mike Preuss, Kenneth O. Stanley:
Procedural Content Generation: Goals, Challenges and Actionable Steps. Artificial and Computational Intelligence in Games 2013: 61-75 - [i2]Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi:
Simulated Car Racing Championship: Competition Software Manual. CoRR abs/1304.1672 (2013) - 2012
- [j29]Le Hoang Son, Bui Cong Cuong, Pier Luca Lanzi, Nguyen Tho Thong:
A novel intuitionistic fuzzy clustering method for geo-demographic analysis. Expert Syst. Appl. 39(10): 9848-9859 (2012) - [c102]Matteo Botta, Vincenzo Gautieri, Daniele Loiacono, Pier Luca Lanzi:
Evolving the optimal racing line in a high-end racing game. CIG 2012: 108-115 - [c101]Michele Pirovano, Renato Mainetti, Gabriel Baud-Bovy, Pier Luca Lanzi, N. Alberto Borghese:
Self-adaptive games for rehabilitation at home. CIG 2012: 179-186 - [c100]Martin Pelikan, Mark Hauschild, Pier Luca Lanzi:
Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA. PPSN (1) 2012: 173-183 - [c99]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
Enhancing Learning Capabilities by XCS with Best Action Mapping. PPSN (1) 2012: 256-265 - [c98]Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:
XCS with Adaptive Action Mapping. SEAL 2012: 138-147 - [c97]N. Alberto Borghese, Michele Pirovano, Renato Mainetti, Pier Luca Lanzi:
An integrated low-cost system for at-home rehabilitation. VSMM 2012: 553-556 - [i1]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A Spiking Neural Learning Classifier System. CoRR abs/1201.3249 (2012) - 2011
- [j28]Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi:
Automatic Track Generation for High-End Racing Games Using Evolutionary Computation. IEEE Trans. Comput. Intell. AI Games 3(3): 245-259 (2011) - [c96]Luigi Cardamone, Antonio Caiazzo, Daniele Loiacono, Pier Luca Lanzi:
Transfer of driving behaviors across different racing games. CIG 2011: 227-234 - [c95]Luca Galli, Daniele Loiacono, Luigi Cardamone, Pier Luca Lanzi:
A cheating detection framework for Unreal Tournament III: A machine learning approach. CIG 2011: 266-272 - [c94]Luigi Cardamone, Georgios N. Yannakakis, Julian Togelius, Pier Luca Lanzi:
Evolving Interesting Maps for a First Person Shooter. EvoApplications (1) 2011: 63-72 - [c93]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Interactive evolution for the procedural generation of tracks in a high-end racing game. GECCO 2011: 395-402 - [e14]Natalio Krasnogor, Pier Luca Lanzi:
13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Proceedings, Dublin, Ireland, July 12-16, 2011. ACM 2011, ISBN 978-1-4503-0557-0 [contents] - [e13]Natalio Krasnogor, Pier Luca Lanzi:
13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Companion Material Proceedings, Dublin, Ireland, July 12-16, 2011. ACM 2011, ISBN 978-1-4503-0690-4 [contents] - 2010
- [j27]Pier Luca Lanzi, David Robles Contreras, Luigi Cardamone:
IEEE CIG 2009 Conference Report [Conference Report]. IEEE Comput. Intell. Mag. 5(2): 20-22 (2010) - [j26]Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Ant Colony Heuristic for Mapping and Scheduling Tasks and Communications on Heterogeneous Embedded Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(6): 911-924 (2010) - [j25]Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez Liebana, Yago Sáez, Mike Preuss, Jan Quadflieg:
The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intell. AI Games 2(2): 131-147 (2010) - [j24]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Learning to Drive in the Open Racing Car Simulator Using Online Neuroevolution. IEEE Trans. Comput. Intell. AI Games 2(3): 176-190 (2010) - [c92]Cristiana Bolchini, Pier Luca Lanzi, Antonio Miele:
A multi-objective genetic algorithm framework for design space exploration of reliable FPGA-based systems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c91]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c90]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
A spiking neural representation for XCSF. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c89]Daniele Loiacono, Alessandro Prete, Pier Luca Lanzi, Luigi Cardamone:
Learning to overtake in TORCS using simple reinforcement learning. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c88]Matteo Miraz, Pier Luca Lanzi, Luciano Baresi:
Improving evolutionary testing by means of efficiency enhancement techniques. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c87]Enrique Onieva, Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Overtaking opponents with blocking strategies using fuzzy logic. CIG 2010: 123-130 - [c86]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi, Alessandro Pietro Bardelli:
Searching for the optimal racing line using genetic algorithms. CIG 2010: 388-394 - [c85]Marco Ceriani, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Antonino Tumeo:
Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation. GECCO 2010: 1267-1274 - [c84]Luciano Baresi, Pier Luca Lanzi, Matteo Miraz:
TestFul: An Evolutionary Test Approach for Java. ICST 2010: 185-194 - [r1]Pier Luca Lanzi:
Classifier Systems. Encyclopedia of Machine Learning 2010: 172-178
2000 – 2009
- 2009
- [j23]Martin V. Butz, Pier Luca Lanzi:
Sequential problems that test generalization in learning classifier systems. Evol. Intell. 2(3): 141-147 (2009) - [j22]Larry Bull, Pier Luca Lanzi:
Introduction to the special issue on learning classifier systems. Nat. Comput. 8(1): 1-2 (2009) - [j21]Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi:
Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. 13(5): 1093-1119 (2009) - [c83]Gabriele Giarratana, Marco Pizzera, Marco Masseroli, Enzo Medico, Pier Luca Lanzi:
Data Mining Techniques for the Identification of Genes with Expression Levels Related to Breast Cancer Prognosis. BIBE 2009: 295-300 - [c82]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
On-line neuroevolution applied to The Open Racing Car Simulator. IEEE Congress on Evolutionary Computation 2009: 2622-2629 - [c81]Filippo Galgani, Yiwen Sun, Pier Luca Lanzi, Jason Leigh:
Automatic analysis of eye tracking data for medical diagnosis. CIDM 2009: 195-202 - [c80]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Learning drivers for TORCS through imitation using supervised methods. CIG 2009: 148-155 - [c79]Luca Galli, Daniele Loiacono, Pier Luca Lanzi:
Learning a context-aware weapon selection policy for Unreal Tournament III. CIG 2009: 310-316 - [c78]Daniele Loiacono, Julian Togelius, Pier Luca Lanzi:
Simulated car racing. CIG 2009 - [c77]Antonino Tumeo, Marco Branca, Lorenzo Camerini, Christian Pilato, Pier Luca Lanzi, Fabrizio Ferrandi, Donatella Sciuto:
Mapping pipelined applications onto heterogeneous embedded systems: a bayesian optimization algorithm based approach. CODES+ISSS 2009: 443-452 - [c76]Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
Evolving competitive car controllers for racing games with neuroevolution. GECCO 2009: 1179-1186 - [c75]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. GECCO 2009: 1219-1226 - [c74]Marco Branca, Lorenzo Camerini, Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo:
Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems. GECCO 2009: 1435-1442 - [c73]Matteo Miraz, Pier Luca Lanzi, Luciano Baresi:
TestFul: using a hybrid evolutionary algorithm for testing stateful systems. GECCO 2009: 1947-1948 - [c72]Pier Luca Lanzi:
Learning classifier systems. GECCO (Companion) 2009: 2853-2878 - [c71]Pier Luca Lanzi, Daniele Loiacono:
Speeding Up Matching in Learning Classifier Systems Using CUDA. IWLCS 2009: 1-20 - [c70]Daniele Loiacono, Pier Luca Lanzi:
Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems. IWLCS 2009: 70-86 - [c69]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Use of a Connection-Selection Scheme in Neural XCSF. IWLCS 2009: 87-106 - [e12]Pier Luca Lanzi:
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, CIG 2009, Milano, Italy, 7-10 September, 2009. IEEE 2009, ISBN 978-1-4244-4814-2 [contents] - 2008
- [j20]Pier Luca Lanzi:
Learning classifier systems: then and now. Evol. Intell. 1(1): 63-82 (2008) - [j19]Christian Pilato, Antonino Tumeo, Gianluca Palermo, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto:
Improving evolutionary exploration to area-time optimization of FPGA designs. J. Syst. Archit. 54(11): 1046-1057 (2008) - [j18]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson:
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evol. Comput. 12(3): 355-376 (2008) - [c68]Christian Pilato, Daniele Loiacono, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto:
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis. IEEE Congress on Evolutionary Computation 2008: 3334-3341 - [c67]Daniele Loiacono, Pier Luca Lanzi:
Computed prediction in binary multistep problems. IEEE Congress on Evolutionary Computation 2008: 3350-3357 - [c66]Pier Luca Lanzi, Daniele Loiacono, Matteo Zanini:
Evolving classifier ensembles with voting predictors. IEEE Congress on Evolutionary Computation 2008: 3760-3767 - [c65]Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-Heether, Simon M. Lucas, Matt Simmerson, Diego Perez Liebana, Robert G. Reynolds, Yago Sáez:
The WCCI 2008 simulated car racing competition. CIG 2008: 119-126 - [c64]Daniele Loiacono, Pier Luca Lanzi:
Tile Coding Based on Hyperplane Tiles. EWRL 2008: 179-190 - [c63]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono:
An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356 - [c62]Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi:
Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372 - [c61]Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Self-adaptive constructivism in Neural XCS and XCSF. GECCO 2008: 1389-1396 - [c60]Daniele Loiacono, Pier Luca Lanzi:
Recursive least squares and quadratic prediction in continuous multistep problems. GECCO (Companion) 2008: 1985-1992 - [c59]Fabrizio Ferrandi, Pier Luca Lanzi, Daniele Loiacono, Christian Pilato, Donatella Sciuto:
A Multi-objective Genetic Algorithm for Design Space Exploration in High-Level Synthesis. ISVLSI 2008: 417-422 - [c58]Antonino Tumeo, Christian Pilato, Fabrizio Ferrandi, Donatella Sciuto, Pier Luca Lanzi:
Ant colony optimization for mapping and scheduling in heterogeneous multiprocessor systems. ICSAMOS 2008: 142-149 - [p1]Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg:
Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. Linkage in Evolutionary Computation 2008: 335-358 - 2007
- [j17]Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension. Evol. Comput. 15(2): 133-168 (2007) - [j16]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry:
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. 8(1): 5-37 (2007) - [j15]