List of Publications

Journals    Books    Special Issues  Book Chapters   Conference Papers

Don't hesitate to contact me if you are interested in any of the following articles.

My PhD Thesis


Algoritmos Heuristicos en Bioinformatica download ,
Advisors: Jose Luis Verdegay , Armando Blanco

Peer Reviewed Journal Publications

  1.  A Fuzzy Valuation-Based Local Search Framework for Combinatorial Problems
    David Pelta, Armando Blanco and Jose Luis Verdegay.
    In Journal of Fuzzy Optimization and Decision Making 1 (2) pp. 177-193 (2002).

  2. Applying a Fuzzy Sets-based Heuristic to the Protein Structure Prediction Problem
    David Pelta and Armando Blanco and Jose Luis Verdegay,
    in International Journal of Intelligent Systems. 17 (7) pp. 629-643 (2002)

  3. FANS: una Heurística basada en Conjuntos Difusos para Problemas de Optimización
    Armando Blanco, David A. Pelta, José L. Verdegay.
    Revista Iberoamericana de Inteligencia Artificial, Nº 19, pp 103-121, 2003

  4. Application of Fuzzy Optimization to Diet Problems in Argentinean Farms,
    José M. Cadenas, David Pelta, Hector Pelta and Jose Luis Verdegay.
    European Journal of Operational Research, Vol 158 (1).218-228 (2004)

  5. Measuring Protein Structure Similarities by Means of the Universal Similarity Metric,
    Natalio Krasnogor, David Pelta.
    In Bioinformatics. 20 (7) pp 1015 - 1021, 2004
    Here is the supplementary material (data and scripts) of this article

  6. A fuzzy sets based generalization of contact maps for the overlap of protein structures
    D. Pelta, N. Krasnogor, C. Bousono-Calzon, J. L. Verdegay, J. Hirst Edmund Burke
    Fuzzy Sets and Systems, Vol 152,Nro 1, 103-123. 2005
    Here is the supplementary material (data and scripts) of this article

  7. Using memory and fuzzy rules in a co-operative multi-thread strategy for optimization
    David Pelta, Alejandro Sancho-Royo, Carlos Cruz and Jose L. Verdegay
    in Information Sciences, Volume 176, Issue 13, 3, Pages 1849-1868 2006

  8. Search spaces representation in optimization problems
    Pablo Pareja, David Pelta, Alejandro Sancho-Royo, Jose L. Verdegay
    Expert Systems with Applications. Volume 34, Issue 4, Pages 2891-2895, May 2008

  9. A simple and fast heuristic for protein structure comparison
    David A. Pelta, Juan R. Gonzalez, Marcos Moreno Vega
    BMC Bioinformatics ,9, 161. 2008. This is a Highly accessed article

  10. Soft Computing and Cooperative Strategies for Optimization
    Carlos Cruz and David Pelta
    Applied Soft Computing. Volume 9, Issue 1, Pages 30-38 , January 2009

  11. A Study on Diversity and Cooperation in a Multi-Agent Strategy for Dynamic Optimization Problems
    David Pelta, Carlos Cruz
    International Journal of Intelligent Systems. Volume 25 Issue 7, Pages 844-861, 2009

  12. A Framework for developing Optimization-based Decision Support Systems
    Juan R. Gonzalez, David Pelta, Antonio Masegosa
    Expert Systems With Applications. Volume 36, Issue 3, Part 1, April 2009, Pages 4581-4588

  13. Fuzzy Contact Maps Overlap for Protein Comparison: the Roles of Fitness and Normalization and the relation with Crisp Contact Maps
    J.R. González, D.A. Pelta, L. Morales
    Mathware and Soft Computing. Vol 16, Nro 1, 2009

  14. Simple control rules in a cooperative system for dynamic optimization problems
    David Pelta, Carlos Cruz, Jose L. Verdegay
    International Journal of General Systems. Volume 38, Nro 7, Pages 701 - 717, 2009

  15. On the conflict between inducing confusion and attaining payoff in adversarial decision making
    David Pelta, Ronald R. Yager
    Information Sciences. Volume 179, Number 1-2, Pages 33-40, 2009

  16. A hybrid method for the coupled optimization of the axial and radial design of BWR fuel assemblies
    Juan Jose Ortiz, Alejandro Castillo, David A Pelta
    Progress in Nuclear Energy, Volume 52, Issue 2, March 2010, Pages 249-256

  17. Decision Strategies in Mediated Multi-Agents Negotiations: an Optimization Approach
    D. Pelta, R. Yager,
    IEEE SMC Transactions: Part A, Volume: 40 Issue:3, May 2010, page(s): 635 - 640

  18. Solving multiple instances at once: the role of search and adaptation
    A. Masegosa, D. Pelta, J. González
    Soft Computing - A Fusion of Foundations, Methodologies and Applications. Volume 15, Number 2, 233-250, 2011

  19. The 2009 Simulated Car Racing Championship
    Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. L¨onneker, Luigi Cardamone, Diego Perez, Yago Saez, Mike Preuss and Jan Quadflieg
    IEEE Transactions on Computational Intelligence and AI in Games. Vol 2, Issue 2, pp 131 - 147, 2010

  20. Editorial: Special Issue on Nature Inspired Cooperative Strategies for Optimization
    N. Krasnogor, G. Nicosia, M. Pavone, and D.A. Pelta
    Natural Computing Journal. Volume 9, Number 1, pp: 1-3 / March, 2010

  21. A Software Modeling Approach for the Design and Analysis of Cooperative Optimization Systems
    I. G. del Amo, D. A. Pelta, A. D. Masegosa, J. L. Verdegay
    Software: Practice and Experience. Volume 40 Issue 9, pp 811-823, August 2010

  22. Optimization in dynamic environments: a survey on problems, methods and measures
    Carlos Cruz, Juan R. González and David A. Pelta
    Soft Computing - A Fusion of Foundations, Methodologies and Applications. Volume 15, Number 7, 1427-1448, 2011

  23. A Fuzzy-Rule-Based Driving Architecture for Non-Player Characters in a Car Racing Game
    Enrique Onieva, David A. Pelta, Vicente Milanes, Joshue Perez
    Soft Computing - A Fusion of Foundations, Methodologies and Applications. Volume 15, Number 8, 1617-1629, 2011

  24. Efficient multi-swarm PSO algorithms for dynamic environments
    Pavel Novoa-Hernández, Carlos Cruz Corona and David A. Pelta
    Memetic Computing Volume 3, Number 3, 163-174, 2011

  25. BWR fuel cycle optimization using neural networks
    Juan José Ortiz-Servin, José Alejandro Castillo, David A. Pelta
    Nuclear Engineering and Design Volume 241, Issue 9, Pages 3729-3735, September 2011

  26. Theoretical Analysis of Expected Payoff in an Adversarial Domain
    Pablo Villacorta, David A. Pelta
    Information Science, Volume 186, Issue 1, Pages 93–104, March 2012,

  27. An Evolutionary Tuned Driving System for Virtual Car Racing Games: The AUTOPIA Driver
    E. Onieva, D. Pelta, J. Godoy, V. Milanés, J. Pérez
    International Journal of Intelligent Systems, Volume 27, Issue 3, pages 217–241, March 2012

  28. An Algorithm Comparison for Dynamic Optimization Problems
    Ignacio G. del Amo, David A. Pelta, Juan R. González, Antonio D. Masegosa
    Applied Soft Computing, Volume 12, Issue 10, Pages 3176–3192, October 2012

  29. A centralised cooperative strategy for continuous optimization: the influence of cooperation in performance and behaviour
    Antonio D. Masegosa, David A. Pelta, José L. Verdegay
    Information Sciences, Volume 219, Pages 73–92, January 2013,

  30. Forgetting as a way to avoid deception in a repeated imitation game
    Pablo J. Villacorta, David A. Pelta and Maria T. Lamata
    Autonomous Agents and Multi-Agent Systems Journal, Volume 27, Issue 3, pp 329-354, 2013 (Available online August 2012)

  31. Attractor Metabolic Networks
    Ildefonso M. de la Fuente, Jesus M. Cortes, David A. Pelta, Juan Veguillas.
    PLoS One, 8(3), 2013

  32. Self-adaptive, multipopulation differential evolution in dynamic environments
    Pavel Novoa, Carlos Cruz, David Pelta,
    Soft Computing, Vol. 17, Issue 10, pp 1861-1881, 2013

  33. Uso Eficiente de Combustible Nuclear en Plantas de Potencia
    Juan J. Ortiz, Jose A. Castillo, David A. Pelta, Raul Perusquia
    DYNA Energía y Sostenibilidad, Vol: 2, Nro: 1, Enero 2013

  34. The role of cardinality and neighborhood sampling strategy in agent-based cooperative strategies for Dynamic Optimization Problems
    Antonio D. Masegosa, David A. Pelta, Ignacio G. del Amo
    Applied Soft Computing, Vol. 14, Part C, January 2014, Pages 577–593 (Online since July 2013)

  35. Analyzing the Robustness of Decision Strategies in Multiagent Decision Making
    David A. Pelta, Ronald R. Yager
    Group Decision and Negotiation, November 2014, Volume 23, Issue 6, pp 1403-1416 (online since October 2013)

  36. Application of data mining methods for classification and prediction of olive oil blends with other vegetable oils
    Cristina Ruiz-Samblás, José M. Cadenas, David A. Pelta,Luis Cuadros-Rodríguez
    Analytical and Bioanalytical Chemistry, April 2014, Volume 406, Issue 11, pp 2591-2601.

  37. El método TOPSIS relativo vs. absoluto
    Ceballos, Blanca; Lamata, M. Teresa; Pelta, David y Sánchez, J. Miguel.
    Rect@. Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA. Vol. 14 - Núm. 2 - 2013.

  38. A neural network to predict reactor core behaviors
    Juan José Ortiz-Servin, David A Pelta, José Alejandro Castillo
    Nuclear Science and Techniques, Vol 25, Issue 1, 2014.

  39. Cluster-based comparison of the peptide mass fingerprint obtained by MALDI-TOF mass spectrometry. A case study: long-term stability of rituximab
    Pablo J Villacorta, Antonio Salmerón-García, David A Pelta, José Cabeza, Antonio Lario, Natalia Navas
    Analyst, 2015, Accepted. Available Online. Also at PubMed: http://www.ncbi.nlm.nih.gov/pubmed/25612326

  40. Nuclear Fuel Lattice Performance Analysis by Data Mining Techniques
    Juan José Ortiz-Servin, José Manuel Cadenas, David A. Pelta, Alejandro Castillo, José-Luis Montes-Tadeo
    Annals of Nuclear Energy, Volume 80, June 2015, Pages 236–247.

  41. Self-adaptation in dynamic environments - a survey and open issues
    Pavel Novoa Hernandez, Carlos Cruz Corona, David Pelta
    International Journal of Bio-Inspired Computation, Vol. 8, No. 1, 2016.

  42. A Software Tool for Assisting Experimentation in Dynamic Environments
    Pavel Novoa Hernandez, Carlos Cruz Corona, David Pelta
    Applied Computational Intelligence and Soft Computing, vol. 2015, Article ID 302172, 12 pages, 2015

  43. Algorithm portfolio based scheme for dynamic optimization problems
    Jenny Fajardo Calderín, Antonio D. Masegosa, David A. Pelta,
    The International Journal of Computational Intelligence Systems. Volume 8, Issue 4, pages 667-689, 2015.

  44. A repeated imitation model with dependence between stages: decision strategies and rewards
    P.J. Villacorta and D.A. Pelta,
    Int. Journal of Applied Mathematics and Computer Science (AMCS), Volume 25, Issue 3, pages 617-630, 2015.

  45. Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction
    Marina Torres, David A. Pelta, José L. Verdegay, Juan C. Torres
    Expert Systems with Applications, Volume 55, 15 August 2016, Pages 441–451

  46. Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach
    José M. Cadenas, Juan J. Ortiz-Servin, David A. Pelta, José L. Montes-Tadeo, Raúl Perusquía, Alejandro Castillo
    Progress in Nuclear Energy. Volume 91, August 2016, Pages 97–106

  47. A comparative analysis of multi-criteria decision-making methods
    Blanca Ceballos, María Teresa Lamata, David A. Pelta
    Progress in Artificial Intelligence. November 2016, Volume 5, Issue 4, pp 315–322

  48. An approach for solving maximal covering location problems with fuzzy constraints
    Virgilio C. Guzmán, David A. Pelta, José L. Verdegay
    The International Journal of Computational Intelligence Systems, Volume 9, Issue 4, pp. 734-744, 2016.

  49. An algorithm portfolio for the dynamic maximal covering location problem
    Jenny Fajardo Calderín, Antonio D. Masegosa,David A. Pelta
    Memetic Computing, Volume 9, Issue 2, pp 141–151, June 2017. (online since September, 2016).

  50. Fuzzy Models and Resolution Methods for Covering Location Problems: an Annotated Bibliography
    Virgilio C. Guzmán, Antonio D. Masegosa, David A. Pelta, José L. Verdegay
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Vol. 24, No. 04, pp. 561-591 (2016)

  51. Problemas de Optimización Dinámicos: Enfoques y Perspectivas
    Antonio D. Masegosa, David A. Pelta
    Revista de Investigación Operacional. Vol. 38, Issue 2, 111-121, 2017

  52. Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis
    Blanca Ceballos, María Teresa Lamata, David A. Pelta
    International Journal of Intelligent Systems. Volume 32, Issue 7, pp. 663–753, 2017

  53. Rank Reversal and the VIKOR Method: an Empirical Evaluation
    Blanca Ceballos, David A. Pelta, María Teresa Lamata
    International Journal of Information Technology & Decision Making, Volume 17, Issue 02, March 2018.

  54. Methodology for integrated fuel lattice and fuel load optimization using population-based metaheuristics and decision trees
    Juan José Ortiz-Servin, David A. Pelta, José ManuelCadenas, AlejandroCastillo, José Luis Montes-Tadeo
    Progress in Nuclear Energy, Volume 104, April 2018, Pages 264-270

  55. Optimisation problems as decision problems: The case of fuzzy optimisation problems
    María Teresa Lamata, David A. Pelta, José L. Verdegay
    Information Science, Volumes 460–461, September 2018, Pages 377-388

  56. PRoA: an Intelligent Multi-Criteria Personalized Route Assistant
    Marina Torres, David A. Pelta, José L. Verdegay
    Engineering Applications of Artificial Intelligence, Volume 72, June 2018, Pages 162-169.

  57. On OWA Linear Operators for Decision Making
    E. H. Cables Pérez, M. T. Lamata, D. Pelta, J. L. Verdegay
    Fuzzy Information and Engineering , In press.

  58. Toward Adaptive Maps
    Marina Torres, David A. Pelta, José L. Verdegay, Carlos Cruz
    International Journal of Intelligent Systems. Accepted. 2018

Books

  1. Soft Computing Based Optimization and Decision Models.
    David A. Pelta, Carlos Cruz (Eds)
    Springer International Publishing, 2018.

  2. Making decisions in the presence of adversaries: models and results
    P.J. Villacorta, D.A. Pelta and J.L. Verdegay
    ISBN 978-3-330-04443-2. Lambert Academic Publishing, 2017.

  3. Nature Inspired Cooperative Strategies For Optimisation (NICSO 2013)
    Terrazas, German; Otero, Fernando E. B.; Masegosa, Antonio D. (Eds.)
    Series Studies in Computational Intelligence, Vol 512, Springer, 2013.
    Subseries Learning, Optimization and Interdisciplinary Applications(David A. Pelta, Natalio Krasnogor, Eds.)

  4. Nature Inspired Cooperative Strategies For Optimisation (NICSO 2011)
    David A. Pelta, Natalio Krasnogor, Camelia Chira, Dan Dumitrescu, Rodica Lung (Eds.)
    Series Studies in Computational Intelligence, Vol 387, Springer, 2012.

  5. Cooperative Methods in Optimisation Analysis and Results
    Antonio D. Masegosa, David A. Pelta, José L. Verdegay
    ISBN 978-3-8443-2458-7. Lambert Academic Publishing, 2011.

  6. Nature Inspired Cooperative Strategies For Optimisation (NICSO 2010)
    Juan R. González,David Alejandro Pelta, Carlos Cruz, Germán Terrazas, and Natalio Krasnogor (Eds.)
    Series Studies in Computational Intelligence, Vol 284, Springer, 2010.

  7. Nature Inspired Cooperative Strategies For Optimisation (NICSO 2008)
    Krasnogor, N.; Melián-Batista, B.; Moreno-Pérez, J.A.; Moreno-Vega, J.M.; Pelta, D. (Eds.)
    Series Studies in Computational Intelligence, Vol 236, Springer, 2009

  8. Nature Inspired Cooperative Strategies For Optimisation (NICSO 2007)
    N. Krasnogor, G. Nicosia,  M. Pavone, and D.A. Pelta, editors
    Series Studies in Computational Intelligence, Vol 129, Springer, 2008

  9. Systems self-assembly: multidisciplinary snapshots
    N. Krasnogor, S. Gustafson, D.A. Pelta, and J.L. Verdegay, editors
    Series Studies in Multidisciplinarity. Elsevier, 2008

  10. Nature Inspired Cooperative Strategies for Optimisation
    D. Pelta, N. Krasnogor editors
    University of Granada, 2006

Special Issues

Book Chapters

TO BE UPDATED


SRCS: A Technique for Comparing Multiple Algorithms under Several Factors in Dynamic Optimization Problems
Ignacio G. del Amo, David A. Pelta
In Metaheuristics for Dynamic Optimization. E. Alba A. Nakib, P. Siarry (Eds). Studies in Computational Intelligence Volume 433, 2013, pp 61-77

Evolutionary Physical Model Design
A. Carrascal, J.M. Font, D. Pelta
In Research and Development in Intelligent Systems XXVI, Incorporating Applications and Innovations in Intelligent Systems XVII , Max Bramer, Richard Ellis and Miltos Petridis(Eds). pp 487-492, Springer London, 2009

Solving Bioinformatics Problems by Soft Computing Techniques: Protein Structure Comparison as Example
Juan R. González, David A. Pelta and José L. Verdegay
Intelligent Systems and Technologies, pp 123-136, Series Studies in Computational Intelligence Volume 217, 2009 Springer Berlin / Heidelberg

Fuzzy Sets based Cooperative Heuristics for Solving Optimization Problems
Carlos Cruz, Alejandro Sancho-Royo, David Pelta and José L. Verdegay
Fuzzy Applications in Industrial Engineering pp 505-519, 2006, Series Studies in Fuzziness and Soft Computing,

Multimeme Algorithms using Fuzzy Logic based Memes
David A. Pelta, Natalio Krasnogor.
In Recent Advances in Memetic Algorithms and Related Search Technologies. W. Hart, N. Krasnogor, J. Smith (Eds). 2004

Introducing SACRA : a Decision Support System for the Construction of Cattle Diets,
Jose M. Cadenas, David Pelta, Jose Luis Verdegay ,
in Applied Decision Support with Soft Computing en Studies in Fuzziness and Soft Computing Series - X. Yu, J. Kacprzyk and Christer Carlsson (Eds.) pp 391-401, 2003

Fuzzy Adaptive Neighborhood Search: Examples of Application,
David Pelta and Armando Blanco and Jose Luis Verdegay,
in "Fuzzy Sets based Heuristics for Optimization", Ed. José L. Verdegay. Series: "Studies in Fuzziness and Soft Computing", pp: 1-20, Physica-Verlag, 2003.

Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid,
Natalio Krasnogor and David Pelta,
in "Fuzzy Sets based Heuristics for Optimization", Ed. José; L. Verdegay. Series: "Studies in Fuzziness and Soft Computing", pp: 49-66, Physica-Verlag, 2003.


Bringing Smart Adaptive Systems to the Optimisation Arena.
N. Krasnogor, D.A. Pelta and J.L. Verdegay. In the European Network on Intelligent Technologies for Smart Adaptive Systems (EUNITE) Roadmap. 2004

Solving Knapsack Problemas using a Fuzzy Sets-based Heuristic,
in NATO Advanced Research Workshop: Systematic Organization of Information in Fuzzy Systems, pp: 89-97, IOS Press 2001

Conference Papers



Context-Based Decision and Optimization: The Case of the Maximal Coverage Location Problem
Lamata M.T., Pelta D.A., Rosete A., Verdegay J.L.
In: Medina J., Ojeda-Aciego M., Verdegay J., Perfilieva I., Bouchon-Meunier B., Yager R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018. Communications in Computer and Information Science, vol 855. Springer

A Proposal for Adaptive Maps
Marina Torres,David A. Pelta,José L. Verdegay
In: Medina J., Ojeda-Aciego M., Verdegay J., Perfilieva I., Bouchon-Meunier B., Yager R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018. Communications in Computer and Information Science, vol 855. Springer

Selection of a fuzzy AHP-TOPSIS electrification system for an isolated rural area in southern México
Verónica Campos-Guzmán; M. Socorro García-Cáscales; J. Miguel Sanchez-Lozano; David Pelta
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Personalized route problem with fuzzy constraints
Marina Torres; David A. Pelta; Carlos Cruz; Jose L. Verdegay
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Fuzzy maximal covering location models for fighting dengue
Virgilio C. Guzmán; David A. Pelta; José L. Verdegay
2016 IEEE Symposium Series on Computational Intelligence (SSCI)

Dynamic optimization with restricted and unrestricted moves between changes: A study on the dynamic maximal covering location problem
Jenny Fajardo Calderín; Antonio D. Masegosa; David A. Pelta
2016 IEEE Congress on Evolutionary Computation (CEC)

Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Memetic Algorithm
Jenny Fajardo Calderín, Antonio D. Masegosa, Alejandro Rosete Suárez, David A. Pelta
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) Studies in Computational Intelligence Volume 512, 2014, pp 85-97

A Simple Cooperative Strategy for Dynamic Vehicle Routing Problem
David A. Pelta, J.L. Verdegay
XXVI EURO - INFORMS Joint International Conference, Roma, 1-4 Julio 2013

Aprendizaje en problemas de optimización dinámicos: un análisis sobre el algoritmo AHMA
Antonio D. Masegosa, Jenny Fajardo, David Pelta
Actas del IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados,17-20 Septiembre 2013, Madrid, Spain

Sobre el rol de la auto-adaptación en ambientes dinámicos
Pavel Novoa-Hernández, Carlos Cruz Corona, David A. Pelta
Actas del IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados,17-20 Septiembre 2013, Madrid, Spain

Using a Fuzzy Decision Tree Ensemble for Tumor Classification from Gene Expression Data
José M. Cadenas, M. Carmen Garrido, Raquel Martínez, David A. Pelta and Piero P. Bonissone
IJCCI 2013 Proceedings of the 5th International Joint Conference on Computational Intelligence (Edited by Agostinho Rosa, António Dourado, Kurosh Madani, Joaquim Filipe and Janusz Kacprzyk), 20-22 Septiembre 2013, Vilamoura, Algarve, Portugal

Automatic Design of Deterministic Sequences of Decisions for a Repeated Imitation Game with Action-State Dependency
P.J. Villacorta, L. Quesada and D. Pelta
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games (CIG 2012), pp 1 - 8. Granada (Spain), september 11 - 14, 2012

Towards fuzzy linguistic Markov chains
P.J. Villacorta, J.L. Verdegay and D.A. Pelta
In Proceedings of the 8th Conf. of the European Society for Fuzzy Logic and Technology (EUSFLAT 2013). Milano (Italy), september 11 - 13, 2013.

Exploiting adversarial uncertainty in robotic patrolling
P.J. Villacorta and D. Pelta
In Advances in Computational Intelligence. Series: Communications in Computer and Information Science 300, pages 529 - 538. Proc. of the 14th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012). Catania (Italy), july 9 - 13, 2012.

Automatic Design of Deterministic Sequences of Decisions for a Repeated Imitation Game with Action-State Dependency
P.J. Villacorta, L. Quesada and D. Pelta
Accepted in the 2012 IEEE Conference on Computational Intelligence and Games (CIG 2012). Granada (Spain), september 11 - 14, 2012.

Ant colony optimization for automatic design of strategies in an adversarial model
Pablo Villacorta and David Pelta
In Nature-Inspired Cooperative Strategies for Optimization (NICSO 2011). Series Studies in Computational Intelligence, Vol 387, pp , Springer, 2012.

An adaptive multiagent strategy for solving combinatorial dynamic optimization problems
Juan R. González González, Carlos Cruz, Ignacio G. Del Amo and David A. Pelta
In Nature-Inspired Cooperative Strategies for Optimization (NICSO 2011). Series Studies in Computational Intelligence, Vol 387, pp , Springer, 2012.

Stability analysis in the Scenario Method: a multi-objective approach
P.J. Villacorta, A.D. Masegosa, D. Castellanos, P. Novoa and D.A. Pelta
11th Int. Conference on Intelligent Systems Design and Applications (ISDA), pp: 867 - 872. Cordoba (Spain), 2011. IEEE

A cooperative strategy for parameter estimation problems in Systems Biology: Preliminary results
Antonio D Masegosa, Federico Rutolo, David Pelta
11th Int. Conference on Intelligent Systems Design and Applications (ISDA),pp: 1207-1212, Cordoba (Spain) 2011, IEEE

A dynamic mixed strategy for an adversarial model based on OWA weights
Pablo Villacorta, David A. Pelta, María Teresa Lamata
Proceedings of the World Conference on Soft Computing, San Francisco,2011

Expected payoff analysis of dynamic mixed strategies in an adversarial domain
Pablo Villacorta, David A. Pelta.
IEEE Symposium on Intelligent Agents, IEEE Symposium Series in Computational Intelligence 2011, Paris.

Comparación estadística de estrategias de decisión en presencia de adversarios: análisis y aplicación en búsqueda local
Pablo J. Villacorta, David A. Pelta
VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. MAEB2010, Valencia, Spain, 2010

Análisis de un Multi-QSO Mejorado con Reglas Heurísticas para Entornos Dinámicos
Ignacio G. del Amo, David A. Pelta, Juan R. González
VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. MAEB2010, Valencia, Spain, 2010

Estudio de la Robustez de las estrategias cooperativas frente a los cambios de configuración de sus componentes
A. Masegosa, D. Pelta
VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. MAEB2010, Valencia, Spain, 2010

Using Heuristic Rules to Enhance a Multiswarm PSO for Dynamic Environments
Ignacio G. del Amo, David A. Pelta and Juan R. Gonzalez.
In Proceedings of the 2010 IEEE Congress on Evolutionary Computation.

Cooperation Rules in a Trajectory-Based Centralised Cooperative Strategy for Dynamic Optimisation Problems
Juan R. Gonzalez, Antonio D. Masegosa, Ignacio G. del Amo and David A. Pelta
In Proceedings of the 2010 IEEE Congress on Evolutionary Computation.

Evolutionary design and statistical assessment of strategies in an adversarial domain
David Pelta and Pablo Villacorta.
In Proceedings of the 2010 IEEE Congress on Evolutionary Computation.

An Analysis of Particle Properties on a Multi-Swarm PSO for Dynamic Optimization Problems
Ignacio G. del Amo and David A. Pelta and Juan R. González and Pavel Novoa.
In P. Meseguer, L. Mandow, and R.M. Gasca (Eds.): CAEPIA 2009, LNAI 5988, pp. 32--41. Springer, Heidelberg (2010)

Improvement Strategies for Multi-swarm PSO in Dynamic Environments
Pavel Novoa-Hernández, David A. Pelta, and Carlos Cruz Corona
In Nature-Inspired Cooperative Strategies for Optimization (NICSO 2010). Series Studies in Computational Intelligence, Vol 284, pp 371-383, Springer, 2010.

Using Knowledge Discovery in Cooperative Strategies: Two Case Studies
A. D. Masegosa, E. Muñoz, D. Pelta y J. M. Cadenas
In Nature-Inspired Cooperative Strategies for Optimization (NICSO 2010). Series Studies in Computational Intelligence, Vol 284, pp 25-38, Springer, 2010.

Dynamic vs. Static Decision Strategies in Adversarial Reasoning
David Pelta and Ronald R. Yager,
Proc. of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009.
Edited by J. P. Carvalho, D. Dubois, U. Kaymak and J. M. C. Sousa pp. 472-477

On the Performance of Homogeneous and Heterogeneous Cooperative Search Strategies
Antonio D. Masegosa, David Pelta, Ignacio Garcia del Amo and Jose Luis Verdegay
In Nature Inspired Cooperative Strategies for Optimization (NICSO 2008). Series: Studies in Computational Intelligence, Volume 236, pp 287-300, 2009

A Modular Parametric Architecture for the TORCS Racing Engine
Enrique Onieva, David A. Pelta, Javier Alonso, Vicente Milanés and Joshué Pérez
In Proc. of IEEE Symposium on Computational Intelligence and Games (CIG'09), pag. 256-262, 2009

Cooperative Strategies and Reactive Search: a hybrid model proposal
Antonio Masegosa, Franco Mascia, David Pelta, Mauro Brunato.
In Proc. 3rd Learning and Intelligent Optimization Workshop (LION 3, Trento, Italy, January 2009). LNCS Vol. 5851 Springer, pp 206-220. 2009

Controlling Particle Trajectories in a Multi-swarm Approach for Dynamic Optimization Problems
Pavel Novoa, David A. Pelta, Carlos Cruz and Ignacio García del Amo
In Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy. Lecture Notes in Computer Science, Volume 5601, pp 285-294, 2009

An Adaptive Metaheuristic for the Simultaneous Resolution of a Set of Instances
Antonio D. Masegosa, Alejandro Sancho Royo and David Pelta
In Nature Inspired Cooperative Strategies for Optimization (NICSO 2007). Series: Studies in Computational Intelligence, Volume 129, pp 125-137, 2008


On Using Fuzzy Contact Maps for Protein Structure Comparison,
Gonzalez, J.R. ; Pelta, D.A.
In IEEE International Fuzzy Systems Conference, FUZZ-IEEE, pp: 1 - 6, 2007, London

Pattern Search in Molecules with FANS: Preliminary Results,
Armando Blanco, David Pelta and Jose Luis Verdegay.
In Applications of Evolutionary Computing EvoWorkshops 2003. Gunther Raidl et al. (Eds.) Lecture Notes in Computer Science, Vol. 2611, pp:11-21. Springer Verlag

Obtaining Biclusters in Microarrays with Population-Based Heuristics
Pablo Palacios, David Pelta and Armando Blanco
In Applications of Evolutionary Computing. Lecture Notes in Computer Science, Volume 3907, pp 115-126 2006, Springer Verlag


Protein Structure Comparison through Fuzzy Contact Maps and the Universal Similarity Metric.
D.A Pelta, J.R. Gonzales and N.Krasnogor.
Proceedings of the Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Recontres Francophones sur la Logique Floue et ses Applications (EUSFLAT-LFA, 2005), pp 1124-1129.

A Critical view of Evolutionary Design of Self-Assembling Systems
N.Krasnogor, G.Terrazas, D.A. Pelta and G. Ochoa.
Proc. of the 2005 Artificial Evolution Conference,Springer Lecture Notes in Computer Science, 2005

Soft computing and cooperative strategies for optimization Cruz, C.; Pelta, D.A.; Royo, A.S.; Verdegay, J.L.;
Proceedings of the 2005 IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, pp : 75 - 78, 2005

Una estrategia de Optimización basada en Reglas Difusas,
David Pelta, Alejandro Sancho Royo, José L. Verdegay.
Proceedings del III Congreso Español de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados MAEB 2004, pp 37-42, 4-6 de febrero de 2004, Cordoba, España

On the Design of Metaheuristic Algorithms using Fuzzy Rules
D.A. Pelta, A. Sancho-Royo y JL. Verdegay.
Proceedings de 3rd International Conference in Fuzzy Logic and Technology, EUSFLAT 2003, M. Wagenknecht, R. Hampel (Eds), pp:474 - 479 , 10–12 Septiembre 2003,Zittau, Alemania

Heuristic Algorithms for Smart Model Base Manager Systems,
José-Luis Verdegay, D.A. Pelta, A. Sancho-Royo.
Proceedings de European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems 10 - 12 July 2003,Oulu, Finland

Three Fuzzy Sets-based approaches for Solving Optimisation Problems,
D. Pelta, A. Sancho-Royo, J.L. Verdegay.
En Proceedings del 10th IFSA World Congress. Okyay Kaynak et al. (Ed) pp:488-491. 29 junio – 2 julio, Estambul

Multimeme Algorithms using Fuzzy Logic based Memes,
David A. Pelta, Natalio Krasnogor.
In Advances in nature inspired computations - PPSN VII Workshops. Edited by D. Corne, Gary Fogel W. Hart, et al. pp:11-12.

Un Ejemplo de Sistema de Ayuda a la Decisión basado en Tecnología Fuzzy,
Jose M. Cadenas, David Pelta, Jose Luis Verdegay,
en XI Congreso Español sobre Tecnologías y Lógica Fuzzy. ESTYLF 2002, pp:457- 462, León, septiembre de 2002

Learning about FANS Behaviour: Knapsack Problems as a Test Case,
David Pelta and Armando Blanco and Jose Luis Verdegay,
in International Conference in Fuzzy Logic and Technology, EUSFLAT'2001, pp. 17-21. Septiembre de 2001, Leicester, UK

F.A.N.S. for the Protein Folding Problem: Comparing Encodings and Search Modes,
David Pelta and N. Krasnogor and Armando Blanco and Jose Luis Verdegay
In: Fourth International Metaheuristics Conference, MIC 2001, pp. 327-331, Julio de 2001, Oporto, Portugal

Molecular Structure Matching and the Fuzzy Adaptive Neighbourhood Search Approach,
David Pelta, Armando Blanco, Hilario Ramirez, José Luis Verdegay.
En Actas de las II Jornadas Españolas de Bioinformática pp: 296-303, Jun 2001, Málaga, España

SACRA : a Smart Decision Support System for Diet Problems in Argentinean Cattle,
Jose M. Cadenas,David Pelta, Jose Luis Verdegay
en Proceedings of Special Session on Adaptive Systems and Hybrid Computational Intelligence in Medicine. EUNITE 2001 Symposium.Diciembre de 2001. Tenerife, España

Introducing FANS: a Fuzzy Adaptive Neighborhood Search,
David Pelta and Armando Blanco and Jose Luis Verdegay,
in: Eight International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2000, pp. 1349-1355, Julio de 2000,Madrid, España,

A Fuzzy Adaptive Neighborhood Search for Function Optimization
David Pelta and Armando Blanco and Jose Luis Verdegay,
In: Fourth International Conference on Knowledge-Based Intelligent Engineering Systems \& Allied Technologies, KES 2000, R.J. Howlett y L.C. Jain, (Eds) pp. 594-597, Brighton, UK, septiembre de 2000 (IEEE)

Un Método de Búsquedas por Entornos para Optimización de Funciones Reales,
Armando Blanco and David Pelta and Jose Luis Verdegay,
 In: X Congreso Español sobre Tecnologías y Lógica Fuzzy, Estylf 2000, pp. 423-428, Sevilla, España,septiembre de 2000

Protein Structure Prediction with Evolutionary Algorithms,
N. Krasnogor and W.E. Hart and J. Smith and D.A. Pelta,
In: GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1596-1601, Editor: W. Banzhaf et.al. Morgan Kaufman, 1999.

Encoding and Crossover mismatch in a molecular design problem,
N. Krasnogor and E. de la Canal and D. Pelta and D. H. Marcos and W. A. Risi,
In: Workshop 1 Notes of the Fifth International Conference on Artificial Intelligence in Design (AID'98) , pp. 22-27. Editor: Peter Bentley, 1998

Genetic Algorithms for the Protein Folding Problem: A Critical View,
N. Krasnogor and D. Pelta and P. Martinez Lopez and P. Mocciola and E. de la Canal,
In: Proceedings of Engineering of Intelligent Systems, EIS'98, pp. 353-360 Editor: E. Alpaydin, C. Fyfe, ICSC Academic Press, 1998.

Protein Structure Prediction as a Complex Adaptive System,
N. Krasnogor and D. H. Marcos and D. Pelta and W. A. Risi,
In: Frontiers in Evolutionary Algorithms (FEA98), pp. 441-447, Editor: Cezary Janikow, 1998

Simple Models of Protein Folding and a Memetic Crossover.
Natalio Krasnogor, Pablo E. Martínez López, David Pelta, Esteban De la Canal.
In Computer Science and Operations Research: Recent Advances in the Interface (6th Informs), Monterey, California, US, 1998.

Bridging the Gap Between Functional Programming and Combinatorial Optimization,
N.Krasnogor, P. Mocciola, D. Pelta, E. Ruiz, W. Russo.
En Proceedings de International Conference on Functional Programming, ICFP 98. BALTIMORE --- September 27-29, 1998

A Functional Programming Approach to a Computational Biology Problem.
Natalio Krasnogor, Pablo E. Martínez López, Pablo Mocciola, David Pelta
In Anales de la 2da Conferencia Latinoamericana de Programación Funcional (CLaPF '97), Universidad Nacional de La Plata (UNLP), La Plata, Argentina. 1/10/1997.

Enhanced Evolutionary Search of Foldings Using Parsed Proteins,
N. Krasnogor and D. Pelta and P. Martinez Lopez and E. de la Canal,
En: Anales del Simposio de Investigación Operativa (SIO '97), dentro de las 26tas Jornadas Argentinas de Informática e Investigación Operativa (JAIIO '97), Univ. Nacional de Buenos Aires (UBA). 1/7/1997.

Estudio de los Mecanismos de Crossover en el Problema de Replegado de Proteínas,
Natalio Krasnogor and David Pelta and Pablo E. Martinez Lopez and Esteban de la Canal,
In: Proceedings Turbo Evaluation and Rapid Algorithms 97 (T.E.R.A. 97), Cordoba, Argentina 1997

Primeros Resultados de un Algoritmo Determinístico para el Problema del Protein Folding en el Modelo H-P,
D. Pelta and N.Krasnogor and P. Moscato,
In: Proceedings de las IV Jornadas del Grupo Montevideo,1996

Resultados de la Complejidad Computacional en el Problema de Replegado de Proteínas,
D. Pelta and N. Krasnogor and P. Moscato,
In: Proceedings de las II Jornadas de Informática en Investigación Operativa, Bs. As., Argentina, 1995