2009 |
53 | EE | Meng-Hiot Lim,
Steven Gustafson,
Natalio Krasnogor,
Yew-Soon Ong:
Editorial to the first issue.
Memetic Computing 1(1): 1-2 (2009) |
52 | EE | Jaume Bacardit,
Edmund K. Burke,
Natalio Krasnogor:
Improving the scalability of rule-based evolutionary learning.
Memetic Computing 1(1): 55-67 (2009) |
51 | EE | Michael Stout,
Jaume Bacardit,
Jonathan D. Hirst,
Robert Elliott Smith,
Natalio Krasnogor:
Prediction of topological contacts in proteins using learning classifier systems.
Soft Comput. 13(3): 245-258 (2009) |
2008 |
50 | | Natalio Krasnogor,
Giuseppe Nicosia,
Mario Pavone,
David A. Pelta:
Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
Springer 2008 |
49 | EE | Jaume Bacardit,
Natalio Krasnogor:
Fast rule representation for continuous attributes in genetics-based machine learning.
GECCO 2008: 1421-1422 |
48 | EE | James Smaldon,
Jonathan Blakes,
Natalio Krasnogor,
Doron Lancet:
A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics.
GECCO 2008: 249-256 |
47 | EE | Francisco José Romero-Campero,
Hongqing Cao,
Miguel Cámara,
Natalio Krasnogor:
Structure and parameter estimation for cell systems biology models.
GECCO 2008: 331-338 |
46 | EE | Maximiliano Tabacman,
Natalio Krasnogor,
Jaume Bacardit,
Irene Loiseau:
Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem.
GECCO (Companion) 2008: 2039-2046 |
45 | EE | Azhar Ali Shah,
Daniel Barthel,
Gianluigi Folino,
Natalio Krasnogor:
Performance Evaluation of Protein Structure Comparison Algorithms Under Integrated Resource Management Environment for MPI Jobs.
ISPA 2008: 817-822 |
44 | EE | Francisco José Romero-Campero,
Jamie Twycross,
Hongqing Cao,
Jonathan Blakes,
Natalio Krasnogor:
A Multiscale Modeling Framework Based on P Systems.
Workshop on Membrane Computing 2008: 63-77 |
43 | EE | Jaume Bacardit,
Michael Stout,
Jonathan D. Hirst,
Natalio Krasnogor:
Data Mining in Proteomics with Learning Classifier Systems.
Learning Classifier Systems in Data Mining 2008: 17-46 |
42 | EE | Michael Stout,
Jaume Bacardit,
Jonathan D. Hirst,
Natalio Krasnogor:
Prediction of recursive convex hull class assignments for protein residues.
Bioinformatics 24(7): 916-923 (2008) |
2007 |
41 | EE | Jaume Bacardit,
Michael Stout,
Jonathan D. Hirst,
Kumara Sastry,
Xavier Llorà,
Natalio Krasnogor:
Automated alphabet reduction method with evolutionary algorithms for protein structure prediction.
GECCO 2007: 346-353 |
40 | EE | Vincenzo Cutello,
Natalio Krasnogor,
Giuseppe Nicosia,
Mario Pavone:
Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization.
ICANNGA (1) 2007: 93-101 |
39 | EE | Germán Terrazas,
Marian Gheorghe,
Graham Kendall,
Natalio Krasnogor:
Evolving tiles for automated self-assembly design.
IEEE Congress on Evolutionary Computation 2007: 2001-2008 |
38 | EE | Q. H. Nguyen,
Yew-Soon Ong,
Natalio Krasnogor:
A study on the design issues of Memetic Algorithm.
IEEE Congress on Evolutionary Computation 2007: 2390-2397 |
37 | EE | Azhar Ali Shah,
Daniel Barthel,
Natalio Krasnogor:
Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview.
ISPA Workshops 2007: 424-434 |
36 | EE | Jaume Bacardit,
Natalio Krasnogor:
Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System.
IWLCS 2007: 255-268 |
35 | EE | Gregory Gutin,
Daniel Karapetyan,
Natalio Krasnogor:
Memetic Algorithm for the Generalized Asymmetric Traveling Salesman Problem.
NICSO 2007: 199-210 |
34 | EE | Yew-Soon Ong,
Natalio Krasnogor,
Hisao Ishibuchi:
Special Issue on Memetic Algorithms.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 2-5 (2007) |
33 | EE | Francesco Bernardini,
Marian Gheorghe,
Natalio Krasnogor:
Quorum sensing P systems.
Theor. Comput. Sci. 371(1-2): 20-33 (2007) |
2006 |
32 | EE | Michael Stout,
Jaume Bacardit,
Jonathan D. Hirst,
Natalio Krasnogor,
Jacek Blazewicz:
From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems.
EvoWorkshops 2006: 208-220 |
31 | EE | Jaume Bacardit,
Natalio Krasnogor:
Smart crossover operator with multiple parents for a Pittsburgh learning classifier system.
GECCO 2006: 1441-1448 |
30 | EE | Jaume Bacardit,
Michael Stout,
Natalio Krasnogor,
Jonathan D. Hirst,
Jacek Blazewicz:
Coordination number prediction using learning classifier systems: performance and interpretability.
GECCO 2006: 247-254 |
29 | EE | Francesco Bernardini,
Marian Gheorghe,
Natalio Krasnogor,
Gheorghe Paun:
Turing Machines with Cells on the Tape.
Nanotechnology: Science and Computation 2006: 335-348 |
28 | EE | Luca Bianco,
Dario Pescini,
Peter Siepmann,
Natalio Krasnogor,
Francisco José Romero-Campero,
Marian Gheorghe:
Towards a P Systems Pseudomonas Quorum Sensing Model.
Workshop on Membrane Computing 2006: 197-214 |
2005 |
27 | EE | Natalio Krasnogor,
Graciela Terrazas,
David A. Pelta,
Gabriela Ochoa:
A Critical View of the Evolutionary Design of Self-assembling Systems.
Artificial Evolution 2005: 179-188 |
26 | EE | Gabriela Ochoa,
Gabi Escuela,
Natalio Krasnogor:
Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding.
Artificial Evolution 2005: 247-258 |
25 | EE | Germán Terrazas,
Natalio Krasnogor,
Marian Gheorghe,
Francesco Bernardini,
Steve Diggle,
Miguel Cámara:
An Environment Aware P-System Model of Quorum Sensing.
CiE 2005: 479-485 |
24 | EE | Francesco Bernardini,
Marian Gheorghe,
Natalio Krasnogor,
Germán Terrazas:
Membrane Computing - Current Results and Future Problems.
CiE 2005: 49-53 |
23 | EE | Germán Terrazas,
Natalio Krasnogor,
Graham Kendall,
Marian Gheorghe:
Automated tile design for self-assembly conformations.
Congress on Evolutionary Computation 2005: 1808-1814 |
22 | EE | Steven Gustafson,
Edmund K. Burke,
Natalio Krasnogor:
On improving genetic programming for symbolic regression.
Congress on Evolutionary Computation 2005: 912-919 |
21 | EE | Carlos Bousoño-Calzón,
Alicia Oropesa-García,
Natalio Krasnogor:
Selecting protein fuzzy contact maps through information and structure measures.
EUSFLAT Conf. 2005: 1106-1111 |
20 | EE | David A. Pelta,
Juan Ramón Gonzalez,
Natalio Krasnogor:
Protein Structure Comparison through Fuzzy Contact Maps and the Universal Similarity Metric.
EUSFLAT Conf. 2005: 1124-1129 |
19 | EE | Steven M. Gustafson,
Edmund K. Burke,
Natalio Krasnogor:
The Tree-String Problem: An Artificial Domain for Structure and Content Search.
EuroGP 2005: 215-226 |
18 | EE | Gabi Escuela,
Gabriela Ochoa,
Natalio Krasnogor:
Evolving L-Systems to Capture Protein Structure Native Conformations.
EuroGP 2005: 74-84 |
17 | EE | Francesco Bernardini,
Francisco José Romero-Campero,
Marian Gheorghe,
Mario J. Pérez-Jiménez,
Maurice Margenstern,
Sergey Verlan,
Natalio Krasnogor:
On P Systems with Bounded Parallelism.
SYNASC 2005: 399-406 |
16 | EE | Francesco Bernardini,
Marian Gheorghe,
Natalio Krasnogor,
Jean-Louis Giavitto:
On Self-assembly in Population P Systems.
UC 2005: 46-57 |
15 | EE | Francesco Bernardini,
Marian Gheorghe,
Natalio Krasnogor,
Ravie C. Muniyandi,
Mario J. Pérez-Jiménez,
Francisco José Romero-Campero:
On P Systems as a Modelling Tool for Biological Systems.
Workshop on Membrane Computing 2005: 114-133 |
14 | | Natalio Krasnogor,
Marian Gheorghe,
Germán Terrazas,
Steve Diggle,
Paul Williams,
Miguel Cámara:
An Appealing Computational Mechanism Drawn from Bacterial Quorum Sensing.
Bulletin of the EATCS 85: 135-148 (2005) |
13 | EE | David A. Pelta,
Natalio Krasnogor:
Editorial.
Fuzzy Sets and Systems 152(1): 1-3 (2005) |
12 | EE | David A. Pelta,
Natalio Krasnogor,
Carlos Bousoño-Calzón,
José L. Verdegay,
Jonathan D. Hirst,
Edmund K. Burke:
A fuzzy sets based generalization of contact maps for the overlap of protein structures.
Fuzzy Sets and Systems 152(1): 103-123 (2005) |
11 | EE | Natalio Krasnogor,
James Smith:
A tutorial for competent memetic algorithms: model, taxonomy, and design issues.
IEEE Trans. Evolutionary Computation 9(5): 474-488 (2005) |
2004 |
10 | EE | Natalio Krasnogor,
David A. Pelta:
Measuring the similarity of protein structures by means of the universal similarity metric.
Bioinformatics 20(7): 1015-1021 (2004) |
9 | EE | Manuel Lozano,
Francisco Herrera,
Natalio Krasnogor,
Daniel Molina:
Real-Coded Memetic Algorithms with Crossover Hill-Climbing.
Evolutionary Computation 12(3): 273-302 (2004) |
8 | EE | Natalio Krasnogor:
Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case.
Genetic Programming and Evolvable Machines 5(2): 181-201 (2004) |
7 | EE | Natalio Krasnogor,
Steven Gustafson:
A Study on the use of "self-generation" in memetic algorithms.
Natural Computing 3(1): 53-76 (2004) |
2002 |
6 | | Robert Carr,
William Hart,
Natalio Krasnogor,
Jonathan D. Hirst,
Edmund K. Burke,
James Smith:
Alignment Of Protein Structures With A Memetic Evolutionary Algorithm.
GECCO 2002: 1027-1034 |
5 | EE | Edmund K. Burke,
Steven M. Gustafson,
Graham Kendall,
Natalio Krasnogor:
Advanced Population Diversity Measures in Genetic Programming.
PPSN 2002: 341-350 |
4 | EE | Natalio Krasnogor,
B. P. Blackburne,
Edmund K. Burke,
Jonathan D. Hirst:
Multimeme Algorithms for Protein Structure Prediction.
PPSN 2002: 769-778 |
2000 |
3 | | Natalio Krasnogor,
Jim Smith:
A Memetic Algorithm With Self-Adaptive Local Search: TSP as a case study.
GECCO 2000: 987-994 |
1997 |
2 | | Natalio Krasnogor,
Pablo E. Martínez López,
Pablo Mocciola,
David A. Pelta:
Protien Folding meets Functional Programming.
ICFP 1997: 313 |
1 | | Natalio Krasnogor,
Pablo E. Martínez López,
Pablo Mocciola,
David A. Pelta:
Modelling String Folding with G2L Grammars.
ICFP 1997: 314 |