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2020 – today
- 2023
[b1]Leonardo Vanneschi, Sara Silva:
Lectures on Intelligent Systems. Natural Computing Series, Springer 2023, ISBN 978-3-031-17921-1, pp. 1-331- [j81]Daniele M. Papetti
, Andrea Tangherloni, Davide Farinati, Paolo Cazzaniga, Leonardo Vanneschi:
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Comput. Intell. Mag. 18(1): 22-31 (2023) - [j80]Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi:
Full-Reference Image Quality Expression via Genetic Programming. IEEE Trans. Image Process. 32: 1458-1473 (2023) - 2022
- [j79]Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi:
Structural similarity index (SSIM) revisited: A data-driven approach. Expert Syst. Appl. 189: 116087 (2022) - [j78]Paula Cruz, Leonardo Vanneschi, Marco Painho, Paulo Rita:
Automatic Identification of Addresses: A Systematic Literature Review. ISPRS Int. J. Geo Inf. 11(1): 11 (2022) - [j77]Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, Leonardo Vanneschi, Sara Silva:
Fitness landscape analysis of convolutional neural network architectures for image classification. Inf. Sci. 609: 711-726 (2022) - [j76]Eftychia Koukouraki, Leonardo Vanneschi, Marco Painho:
Few-Shot Learning for Post-Earthquake Urban Damage Detection. Remote. Sens. 14(1): 40 (2022) - [j75]Karina Brotto Rebuli, Leonardo Vanneschi:
An Empirical Study of Progressive Insular Cooperative GP. SN Comput. Sci. 3(2): 119 (2022) - [j74]Illya Bakurov, Mauro Castelli, Francesco Fontanella, Alessandra Scotto di Freca, Leonardo Vanneschi:
A novel binary classification approach based on geometric semantic genetic programming. Swarm Evol. Comput. 69: 101028 (2022) - [c125]Giacomo Zoppi, Leonardo Vanneschi, Mario Giacobini:
Reducing the Number of Training Cases in Genetic Programming. CEC 2022: 1-8 - [c124]Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva:
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. EuroGP 2022: 68-84 - [c123]Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi:
Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. EvoApplications 2022: 517-530 - [c122]Karina Brotto Rebuli, Mario Giacobini, Niccolò Tallone, Leonardo Vanneschi:
A preliminary study of prediction interval methods with genetic programming. GECCO Companion 2022: 530-533 - [c121]Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi:
Genetic programming for structural similarity design at multiple spatial scales. GECCO 2022: 911-919 - 2021
- [j73]Leonardo Vanneschi, Mauro Castelli:
Soft target and functional complexity reduction: A hybrid regularization method for genetic programming. Expert Syst. Appl. 177: 114929 (2021) - [j72]João E. Batista, Ana I. R. Cabral, Maria J. P. de Vasconcelos, Leonardo Vanneschi, Sara Silva:
Improving Land Cover Classification Using Genetic Programming for Feature Construction. Remote. Sens. 13(9): 1623 (2021) - [j71]Illya Bakurov, Mauro Castelli, Olivier Gau, Francesco Fontanella, Leonardo Vanneschi:
Genetic programming for stacked generalization. Swarm Evol. Comput. 65: 100913 (2021) - [c120]Karina Brotto Rebuli, Leonardo Vanneschi:
Progressive Insular Cooperative GP. EuroGP 2021: 19-35 - [i8]Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva:
Plotting time: On the usage of CNNs for time series classification. CoRR abs/2102.04179 (2021) - 2020
- [j70]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Generalization and Fitness Landscapes for Neuroevolution. IEEE Access 8: 108216-108234 (2020) - [j69]Irene Azzali, Leonardo Vanneschi, Illya Bakurov, Sara Silva, Marco Ivaldi, Mario Giacobini:
Towards the use of vector based GP to predict physiological time series. Appl. Soft Comput. 89: 106097 (2020) - [j68]Alfredo Raglio, Marcello Imbriani, Chiara Imbriani, Paola Baiardi, Sara Manzoni, Marta Gianotti, Mauro Castelli, Leonardo Vanneschi, Francisco Vico, Luca Manzoni:
Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial. Comput. Methods Programs Biomed. 185: 105160 (2020) - [j67]Mauro Castelli, Maria Dobreva, Roberto Henriques, Leonardo Vanneschi:
Predicting Days on Market to Optimize Real Estate Sales Strategy. Complex. 2020: 4603190:1-4603190:22 (2020) - [j66]Mauro Castelli, Fabiana Martins Clemente, Ales Popovic, Sara Silva, Leonardo Vanneschi:
A Machine Learning Approach to Predict Air Quality in California. Complex. 2020: 8049504:1-8049504:23 (2020) - [j65]Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni:
Computational Intelligence for Life Sciences. Fundam. Informaticae 171(1-4): 57-80 (2020) - [j64]Irene Azzali, Leonardo Vanneschi, Andrea Mosca, Luigi Bertolotti, Mario Giacobini:
Towards the use of genetic programming in the ecological modelling of mosquito population dynamics. Genet. Program. Evolvable Mach. 21(4): 629-642 (2020) - [c119]Francesca Abbona, Leonardo Vanneschi, Marco Bona, Mario Giacobini:
A GP approach for precision farming. CEC 2020: 1-8 - [c118]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Fitness Landscapes for Neuroevolution. CEC 2020: 1-8 - [c117]Irene Azzali, Leonardo Vanneschi, Mario Giacobini:
Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming. EuroGP 2020: 52-67 - [c116]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo:
Is k Nearest Neighbours Regression Better Than GP? EuroGP 2020: 244-261 - [c115]Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa, Leonardo Vanneschi:
A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. EvoApplications 2020: 513-529 - [c114]Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand:
Unlabeled multi-target regression with genetic programming. GECCO 2020: 976-984 - [i7]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Fitness Landscapes for Neuroevolution. CoRR abs/2001.11272 (2020)
2010 – 2019
- 2019
- [j63]Petr Hájek, Roberto Henriques, Mauro Castelli, Leonardo Vanneschi:
Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Comput. Oper. Res. 106: 179-190 (2019) - [j62]Luis Muñoz, Leonardo Trujillo, Sara Silva, Mauro Castelli, Leonardo Vanneschi:
Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Comput. 11(2): 111-126 (2019) - [j61]William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore:
Multidimensional genetic programming for multiclass classification. Swarm Evol. Comput. 44: 260-272 (2019) - [j60]Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli:
Genetic programming with semantic equivalence classes. Swarm Evol. Comput. 44: 453-469 (2019) - [j59]Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni, Leonardo Vanneschi:
A distance between populations for n-points crossover in genetic algorithms. Swarm Evol. Comput. 44: 636-645 (2019) - [j58]Leonardo Vanneschi, Mauro Castelli, Kristen M. Scott, Leonardo Trujillo:
Alignment-based genetic programming for real life applications. Swarm Evol. Comput. 44: 840-851 (2019) - [j57]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Multiobjective Metaheuristic to Design RNA Sequences. IEEE Trans. Evol. Comput. 23(1): 156-169 (2019) - [c113]Eunice Carrasquinha, João Santinha, Alexander Mongolin, Maria Lisitskiya, Joana Ribeiro, Fátima Cardoso, Celso Matos, Leonardo Vanneschi, Nikolaos Papanikolaou:
Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla. CIBB 2019: 271-281 - [c112]Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini:
A Vectorial Approach to Genetic Programming. EuroGP 2019: 213-227 - [c111]Illya Bakurov, Mauro Castelli, Leonardo Vanneschi, Maria João Freitas:
Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming. EvoApplications 2019: 187-203 - [c110]Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi:
A Regression-like Classification System for Geometric Semantic Genetic Programming. IJCCI 2019: 40-48 - [c109]Alessandro Re, Leonardo Vanneschi, Mauro Castelli:
Universal Learning Machine with Genetic Programming. IJCCI 2019: 115-122 - [r3]Mauro Castelli, Leonardo Vanneschi, Álvaro Rubio-Largo:
Supervised Learning: Classification. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 342-349 - [r2]Leonardo Vanneschi, Mauro Castelli:
Multilayer Perceptrons. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 612-620 - [r1]Leonardo Vanneschi, Mauro Castelli:
Delta Rule and Backpropagation. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 621-633 - 2018
- [j56]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Multiobjective characteristic-based framework for very-large multiple sequence alignment. Appl. Soft Comput. 69: 719-736 (2018) - [j55]Leonardo Vanneschi, David Micha Horn, Mauro Castelli, Ales Popovic:
An artificial intelligence system for predicting customer default in e-commerce. Expert Syst. Appl. 104: 1-21 (2018) - [j54]Álvaro Rubio-Largo, Mauro Castelli, Leonardo Vanneschi, Miguel A. Vega-Rodríguez:
A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment. J. Comput. Biol. 25(9): 1009-1022 (2018) - [j53]Sanjeevan Shrestha, Leonardo Vanneschi:
Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction. Remote. Sens. 10(7): 1135 (2018) - [j52]Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria José Alves do Rio Perestrelo de Vasconcelos:
A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. Swarm Evol. Comput. 39: 323-338 (2018) - [j51]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Swarm intelligence for optimizing the parameters of multiple sequence aligners. Swarm Evol. Comput. 42: 16-28 (2018) - [j50]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
A Characteristic-Based Framework for Multiple Sequence Aligners. IEEE Trans. Cybern. 48(1): 41-51 (2018) - [c108]Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi:
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. EuroGP 2018: 52-67 - [c107]Leonardo Vanneschi, Kristen M. Scott, Mauro Castelli:
A Multiple Expression Alignment Framework for Genetic Programming. EuroGP 2018: 166-183 - [c106]William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore:
A multidimensional genetic programming approach for identifying epsistatic gene interactions. GECCO (Companion) 2018: 23-24 - [c105]Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi:
Evolving PSO algorithm design in vector fields using geometric semantic GP. GECCO (Companion) 2018: 262-263 - [c104]Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi:
PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. PPSN (1) 2018: 41-53 - [c103]Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella:
EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm. PPSN (1) 2018: 185-196 - [i6]Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Leonardo Vanneschi:
Pruning Techniques for Mixed Ensembles of Genetic Programming Models. CoRR abs/1801.07668 (2018) - 2017
- [j49]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi, Ales Popovic:
An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc. Expert Syst. Appl. 84: 117-126 (2017) - [j48]Mauro Castelli, Leonardo Vanneschi, Leonardo Trujillo, Ales Popovic:
Stock index return forecasting: semantics-based genetic programming with local search optimiser. Int. J. Bio Inspired Comput. 10(3): 159-171 (2017) - [j47]Leonardo Vanneschi, Mauro Castelli, Alessandro Re:
Prediction of ships' position by analysing AIS data: an artificial intelligence approach. Int. J. Web Eng. Technol. 12(3): 253-274 (2017) - [j46]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Using biological knowledge for multiple sequence aligner decision making. Inf. Sci. 420: 278-298 (2017) - [j45]Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Reducing Alignment Time Complexity of Ultra-Large Sets of Sequences. J. Comput. Biol. 24(11): 1144-1154 (2017) - [j44]Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi, Ales Popovic:
The influence of population size in geometric semantic GP. Swarm Evol. Comput. 32: 110-120 (2017) - [j43]Leonardo Vanneschi, Roberto Henriques, Mauro Castelli:
Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem. Swarm Evol. Comput. 36: 37-51 (2017) - [c102]Leonardo Vanneschi, Illya Bakurov, Mauro Castelli:
An initialization technique for geometric semantic GP based on demes evolution and despeciation. CEC 2017: 113-120 - [c101]Leonardo Vanneschi, Bernardo Galvão:
A parallel and distributed semantic Genetic Programming system. CEC 2017: 121-128 - [c100]Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Sara Silva:
Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. CEC 2017: 177-184 - [c99]Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, Leonardo Vanneschi:
Towards the development of a complete GP system on an FPGA using geometric semantic operators. CEC 2017: 1932-1939 - [c98]William G. La Cava, Sara Silva, Leonardo Vanneschi, Lee Spector, Jason H. Moore:
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. EvoApplications (1) 2017: 158-173 - [c97]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves:
PSXO: population-wide semantic crossover. GECCO (Companion) 2017: 257-258 - [i5]Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni, Leonardo Vanneschi:
A Distance Between Populations for n-Points Crossover in Genetic Algorithms. CoRR abs/1707.00451 (2017) - 2016
- [j42]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Ales Popovic:
Prediction of relative position of CT slices using a computational intelligence system. Appl. Soft Comput. 46: 537-542 (2016) - [j41]Mauro Castelli, Leonardo Vanneschi, Ales Popovic:
Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement. Comput. Intell. Neurosci. 2016: 8326760:1-8326760:12 (2016) - [j40]Mauro Castelli, Luca Manzoni, Leonardo Vanneschi, Sara Silva, Ales Popovic:
Self-tuning geometric semantic Genetic Programming. Genet. Program. Evolvable Mach. 17(1): 55-74 (2016) - [j39]Mauro Castelli, Leonardo Vanneschi, Ales Popovic:
Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. Int. J. Bio Inspired Comput. 8(1): 42-50 (2016) - [j38]Mauro Castelli, Leonardo Vanneschi, Luca Manzoni, Ales Popovic:
Semantic genetic programming for fast and accurate data knowledge discovery. Swarm Evol. Comput. 26: 1-7 (2016) - [c96]Alessandro Re, Mauro Castelli, Leonardo Vanneschi:
A Comparison Between Representations for Evolving Images. EvoMUSART 2016: 163-185 - [c95]Leonardo Trujillo, Emigdio Z.-Flores, Perla S. Juárez-Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze, Luis Muñoz:
Local Search is Underused in Genetic Programming. GPTP 2016: 119-137 - [c94]Mauro Castelli, Luca Manzoni, Ivo Gonçalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva:
An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. IJCCI (ECTA) 2016: 201-208 - 2015
- [j37]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi:
Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. Comput. Intell. Neurosci. 2015: 971908:1-971908:8 (2015) - [j36]Mauro Castelli, Sara Silva, Leonardo Vanneschi:
A C++ framework for geometric semantic genetic programming. Genet. Program. Evolvable Mach. 16(1): 73-81 (2015) - [j35]Mauro Castelli, Roberto Henriques, Leonardo Vanneschi:
A geometric semantic genetic programming system for the electoral redistricting problem. Neurocomputing 154: 200-207 (2015) - [c93]Mauro Castelli, Matteo De Felice, Luca Manzoni, Leonardo Vanneschi:
Electricity Demand Modelling with Genetic Programming. EPIA 2015: 213-225 - [c92]Leonardo Vanneschi, Mauro Castelli, Ernesto Costa, Alessandro Re, Henrique Vaz, Victor Sousa Lobo, Paulo Urbano:
Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data. EvoApplications 2015: 732-744 - [c91]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand:
Geometric Semantic Genetic Programming with Local Search. GECCO 2015: 999-1006 - [c90]Leonardo Vanneschi:
An Introduction to Geometric Semantic Genetic Programming. NEO 2015: 3-42 - 2014
- [j34]Mauro Castelli, Leonardo Vanneschi, Sara Silva:
Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. Expert Syst. Appl. 41(10): 4608-4616 (2014) - [j33]Leonardo Vanneschi, Mauro Castelli, Sara Silva:
A survey of semantic methods in genetic programming. Genet. Program. Evolvable Mach. 15(2): 195-214 (2014) - [j32]Mauro Castelli, Sara Silva, Luca Manzoni, Leonardo Vanneschi:
Geometric Selective Harmony Search. Inf. Sci. 279: 468-482 (2014) - [j31]Andrea Valsecchi, Leonardo Vanneschi, Giancarlo Mauri:
A study of search algorithms' optimization speed. J. Comb. Optim. 27(2): 256-270 (2014) - [j30]Leonardo Vanneschi:
Improving genetic programming for the prediction of pharmacokinetic parameters. Memetic Comput. 6(4): 255-262 (2014) - [j29]Mauro Castelli, Leonardo Vanneschi:
Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves. Oper. Res. Lett. 42(5): 355-360 (2014) - [j28]Mauro Castelli, Leonardo Vanneschi, Sara Silva, Alexandros Agapitos, Michael O'Neill:
Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Trans. Cybern. 44(1): 103-113 (2014) - [j27]Mauro Castelli, Leonardo Vanneschi, Sara Silva:
Corrections to "Semantic Search Based Genetic Programming and the Effect of Introns Deletion". IEEE Trans. Cybern. 44(4): 565 (2014) - [c89]Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi:
A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. EuroGP 2014: 48-60 - [c88]Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva:
ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. EuroGP 2014: 150-161 - [c87]Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto:
How to Exploit Alignment in the Error Space: Two Different GP Models. GPTP 2014: 133-148 - [c86]Mauro Castelli, Leonardo Vanneschi:
A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem. NaBIC 2014: 1-6 - [p4]Mario Giacobini, Paolo Provero, Leonardo Vanneschi, Giancarlo Mauri:
Towards the Use of Genetic Programming for the Prediction of Survival in Cancer. Evolution, Complexity and Artificial Life 2014: 177-192 - 2013
- [j26]Mauro Castelli, Leonardo Vanneschi, Sara Silva:
Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. Expert Syst. Appl. 40(17): 6856-6862 (2013) - [j25]Leonardo Vanneschi, Matteo Mondini, Martino Bertoni, Alberto Ronchi, Mattia Stefano:
Gene regulatory networks reconstruction from time series datasets using genetic programming: a comparison between tree-based and graph-based approaches. Genet. Program. Evolvable Mach. 14(4): 431-455 (2013) - [j24]Luca Manzoni, Mauro Castelli, Leonardo Vanneschi:
A new genetic programming framework based on reaction systems. Genet. Program. Evolvable Mach. 14(4): 457-471 (2013) - [j23]Mauro Castelli, Stefano Beretta, Leonardo Vanneschi:
A hybrid genetic algorithm for the repetition free longest common subsequence problem. Oper. Res. Lett. 41(6): 644-649 (2013) - [c85]