Principal
Datos Personales
Investigación
Publicaciones
Enlaces
Última Actualización: 19/11/2011

 

 

Datos Personales

Nombre: Bernabé Dorronsoro Díaz
Titulación: Doctor Ingeniero en Informática
Ocupación: Colaborador científico

Despacho: E001
Teléfono: +352 4666445619

Breve Currículum:

• Investigador en la Universidad de Luxemburgo (desde Septiembre de 2007)
• Doctor Ingeniero en Informática. E.T.S.I. Informatica. Universidad de Málaga.
• Proyecto Fin de Carrera: "Algoritmos Evolutivos Celulares con Ratio Vecindario/Población Dinámica" (2002). Introducción (Versión PDF ).
• Becario FPTAI (Junta de Andalucía) en el Servicio Central de Informática de la Universidad de Málaga (Noviembre 2002 - Noviembre 2004).
  

 

Dr. Bernabé Dorronsoro Díaz Colaborador científico en la Universidad de Luxemburgo

bernabe.dorronsoro AT uni.lu +352 4666445619 Interdisciplinary Centre for Security, Reliability and Trust University of Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg

Book Cellular Genetic Algorithms E. Alba, B. Dorronsoro Series: Ops. Res./Computer Science Vol. 42 250 p. 2008 Springer-Verlag ISBN: 978-0-387-77609-5 Table of Contents | Buy it! | BibTex

 

Open Special Issues

Cluster Computing (2010 IF 0.679) Optimization Issues in Energy Efficient Distributed Systems Deadline: November 15th, 2011

Soft Computing (2010 IF 1.512) Bio-inspired Algorithms with Structured Populations Deadline: February 15th, 2012 Call for papers

Investigación

Entre mis principales temas de interés se encuentran los siguientes:

• Algoritmos Evolutivos y otras metaheurísticas con poblaciones estructuradas y no estructuradas.
• Algoritmos Evolutivos Celulares.
• Resolución de problemas reales complejos: Logística, bioinformática, telecomunicaciones, planificación de tareas en grids, ingeniería del software, ...
• Redes de dispositivos ad-hoc (MANETs y VANETs).
• Ahorro de energía en sistemas informáticos.

Libros

Cellular Genetic Algorithms E. Alba, B. Dorronsoro Series: Operations Research/Computer Science Vol. 42 250 p. 2008 Springer-Verlag ISBN: 978-0-387-77609-5 Table of Contents | Buy it!

Publicaciones en Revistas

1. B. Dorronsoro, G. Danoy, A.J. Nebro, P. Bouvry, Achieving Super-linear Performance in Parallel Multi-objective Evolutionary Algorithms by Means of Cooperative Coevolution, Computers & Operations Research, to appear. 2012. ISSN 0305-0548.
2. P. Ruiz, B. Dorronsoro, P. Bouvry, L. Tardon, Information Dissemination in VANETs Based Upon a Tree Topology, Ad Hoc Networks 10(1):111-127, 2012. ISSN 1570-8705.
3. B. Dorronsoro, P. Bouvry, Improving Classical and Decentralized Differential Evolution with New Mutation Operator and Population Topologies, IEEE Transactions on Evolutionary Computation, 15(1):67-98, 2011. ISSN 1089-778X.
4. P. Ruiz, B. Dorronsoro, G. Valentini, F. Pinel, P. Bouvry, Optimisation of the Enhanced Distance Based Broadcasting Protocol for MANETs, Journal of Supercomputing, to appear, 2011. ISSN 0920-8542.
5. F. Xhafa, J. Carretero, B. Dorronsoro, E. Alba, A Tabu Search Algorithm for Scheduling Independent Jobs in Computational Grids, Computing and Informatics Journal, special issue on Intelligent Computational Methods and Models, vol. 28:1001-1014, 2009. ISSN 1335-9150.
6. F. Xhafa, E. Alba, B. Dorronsoro, B. Duran, Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms, Journal of Mathematical Modelling and Algorithms, 7(2):217-236, Kluwer Academic Publishers, 2008. ISSN: 1570-1166.
7. A.J. Nebro, F. Luna, E. Alba, B. Dorronsoro, J.J. Durillo, AbYSS: Adapting Scatter Search to Multiobjective Optimization, IEEE Transactions on Evolutionary Computation 12(4):439-457, 2008. ISSN 1089-778X.
8. A.J. Nebro, J.J. Durillo, F. Luna, B. Dorronsoro, E. Alba, MOCell: A Cellular Genetic Algorithm for Multiobjective Optimization, International Journal of Intelligent System 24(7):726-746, Special Issue on Nature Inspired Cooperative Strategies. 2009. ISSN 0884-8173.
   
9. E. Alba, B. Dorronsoro, F. Luna, A.J. Nebro, P. Bouvry, L. Hogie, A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs, Computer Comunications, 30(4):685-697, 2007. ISSN: 0140-3664.
   
10. E. Alba, B. Dorronsoro, Computing Nine New Best-So-Far Solutions for Capacitated VRP with a Cellular Genetic Algorithm, Information Processing Letters, 98(6):225-230. 2006. ISSN: 0020-0190.
    
11. E. Alba, B. Dorronsoro, H. Alfonso, Cellular Memetic Algorithms, Journal of Computer Science and Technology 5(4), pp 257-263, Diciembre de 2005. ISSN: 1666-6038.
    
12. E. Alba, B. Dorronsoro, The Exploration/Exploitation Tradeoff in Dynamic Cellular Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, 9(2), pp 126-142. Abril de 2005. ISSN: 1089-778X.
    

Capítulos de Libro

1. J.E. Pecero, B. Dorronsoro, M. Guzek, P. Bouvry, Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters, Handbook energy-aware and green computing, S. Ranka, I. Ahmad (eds.), Chapman and Hall/CRC Press, Ch 20, pp. 443-473, 2011. ISBN 978-1439850404.
2. J.E. Pecero, F. Pinel, B. Dorronsoro, G. Danoy, P. Bouvry, A.Y. Zomaya, Efficient Hierarchical Task Scheduling on GRIDS Accounting for Computation and Communications, in: Intelligent Decision Systems in Large-Scale Distributed Environments, P. Bouvry, H. Gonzalez-Velez, J. Kolodziej (eds.), Studies in Computational Intelligence series, vol. 362, chapter 2, pp. 25-48, Springer, 2011. ISBN 978-3-642-21270-3.
3. B. Dorronsoro, G. Danoy, P. Bouvry, A.J. Nebro, Multi-objective Cooperative Coevolutionary Evolutionary Algorithms for Continuous and Combinatorial Optimization, in: Intelligent Decision Systems in Large-Scale Distributed Environments, P. Bouvry, H. Gonzalez-Velez, J. Kolodziej (eds.), Studies in Computational Intelligence series, vol. 362, chapter 3, pp. 49-74, Springer, 2011. ISBN 978-3-642-21270-3.
4. F. Xhafa, E. Alba, B. Dorronsoro, y B. Duran, Effcient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms, in: Metaheuristics for Scheduling in Distributed Computing Environments, F. Xhafa and A. Ajith (eds.), Studies in Computational Intelligence series, vol. 146, Capítulo 14, pp. 379-422, Springer-Verlag, 2008. ISBN: 978-3-540-69260-7
5. G. Luque, E. Alba, y B. Dorronsoro, Analyzing Parallel Cellular Genetic Algorithms, in: Optimization Techniques for Solving Complex Problems, E. Alba, C. Blum, P. Isasi, C. Leon y J.A. Gómez (eds.), pp. 49-62, Wiley, 2009. ISBN 978-0-470-29332-4.
6. F. Luna, B. Dorronsoro, A.J. Nebro y E. Alba, Multiobjective Metaheuristics to Optimize the Broadcasting in MANETs, in: Handbook on Mobile Ad Hoc and Pervasive Communications, M. Denko and L.T. Yang (eds.), American Scientific Publishers, fecha de aparición: 26-03-2012. ISBN 978-1-439-84616-2.
   
7. E. Alba, B. Dorronsoro, A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem, in: Engineering Evolutionary Intelligent Systems, Chapter 14, Springer-Verlag, Studies in Computational Intelligence Series, Vol. 82, 2008. ISBN: 978-3-540-75395-7
   
8. J. Madera, B. Dorronsoro, Estimation of Distribution Algorithms, E. Alba and R. Martí (eds.), in: Metaheuristics Procedures for Training Neural Networks, Chapter 5, Springer, Operations Research/Computer Science Interfaces Series, pp. 87-108, 2006.
   
9. E. Alba, B. Dorronsoro, M. Giacobini, M. Tomasini, Decentralized Cellular Evolutionary Algorithms, S. Olariu, A. Y. Zomaya (eds.), en: Handbook of Bioinspired Algorithms and Applications, chapter 7, pp. 103-120, 2006. ISBN: 1-58488-475-4.
   
10. E. Alba, B. Dorronsoro, G. Luque, Parallel Genetic Algorithms, E. Alba (ed.), en: Parallel Metaheuristics: A New Class of Algorithms, Chapter 5, pp 107-125, 2005. ISBN: 0-471-67806-6.
    
11. Alba E., Chicano F.J., Cotta C., Dorronsoro B., Luna F., Luque G., y Nebro A.J. Metaheurísticas Secuenciales y Paralelas para Optimización de Problemas Complejos, G. Joya, M. Atencia, A. Ochoa, S. Allende (eds.), en: Optimización Inteligente. Técnicas de Inteligencia Computacional para Optimización, pp. 185-214. 2004. ISBN: 84-9747-034-6.

Publicaciones en Congresos

1. B. Dorronsoro and P. Bouvry, On the use of Small-world Population Topologies for Genetic Algorithms, EVOLVE 2011, A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Luxembourg, e-proceedings, May 2011. ISBN 978-2-87971-106-5. ISSN 222-9434.
2. M. Guzek, J. Pecero, B. Dorronsoro and P. Bouvry, Energy-aware Scheduling of Parallel Applications with Multi-objective Evolutionary Algorithms, EVOLVE 2011, A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Luxembourg, e-proceedings, May 2011. ISBN 978-2-87971-106-5. ISSN 222-9434.
3. G. Danoy, B. Dorronsoro, and P. Bouvry, Multi-objective Cooperative Coevolutionary Algorithms for Robust Scheduling, EVOLVE 2011, A bridge betw een Probability, Set Oriented Numerics and Evolutionary Computation, Luxembourg, e-proceedings, May 2011. ISBN 978-2-87971-106-5. ISSN 222-9434.
4. P. Ruiz, B. Dorronsoro, and P. Bouvry, Optimization and Performance Analysis of the AEDB Broadcasting Algorithm, International Conference on Computer Communication Networks (ICCCN) Workshop on Wireless Mesh and Ad Hoc Networks at WiMAN, Maui, Hawaii, USA, 2011, e-proceedings. ISBN 978-1-4577-0636-3.
5. G. Danoy, B. Dorronsoro, and P. Bouvry, New State-of-the-art Results for Cassini2 Global Trajectory Optimization Problem, International Joint Conference on Artificial Intelligence (IJCAI) Workshop on AI in Space: Intelligence beyond planet Earth, Barcelona, Spain, 2011, e-proceedings.
6. B. Dorronsoro and P. Bouvry, Adaptive Neighborhoods for Cellular Genetic Algorithms, Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Simposium (IPDPS) 2011 Workshop, 2011, Anchorage, USA , pp. 383-389, ISSN 1530-2075.
7. B. Dorronsoro and P. Bouvry, Differential Evolution Algorithms with Cellular Populations, Parallel Problem Solving from Nature (PPSN), LECTURE NOTES IN COMPUTER SCIENCE vol. 6239, pp. 320-330, Springer-Verlag, Krakow, Poland. 2010. ISSN 0302-9743.
8. F. Pinel, B. Dorronsoro, P. Bouvry, A New Cellular Genetic Algorithm to Solve the Scheduling Problem Designed for the GPU, Metaheuristics Conference (META), Djerba, Tunisia, 2010. Published on CD.
9. G. Danoy, F. Gaspar Pinto, B. Dorronsoro, P. Bouvry, Hybrid Cellular Genetic Algorithm for Global Trajectory Optimization Problem, Metaheuristics Conference (META), Djerba, Tunisia, 2010. Published on CD.
10. B. Dorronsoro, P. Bouvry, J. Alberto Cañero, Anthony A. Maciejewski, Howard Jay Siegel, Multi-objective Robust Static Mapping of Independent Tasks on Grids, Proceedings of the IEEE Congress on Evolutionary Computation (CEC), part of World Conference in Computational Intelligence (WCCI), Barcelona, Spain, pp. 3389-3396, 2010. ISBN 978-1-4244-8126-2.
11. M. Guzek, J.E. Pecero, B. Dorronsoro, P. Bouvry, A Cellular Genetic Algorithm for Scheduling Applications and Energy-Aware Communication Optimization, Workshop on Optimization Issues in Energy Efficient Distributed Systems (OPTIM), part of the International Conference on High Performance Computing & Simulation (HPCS), 2010, Caen, France, pp. 241-248. ISBN 978-1-4244-6828-7.
12. B. Dorronsoro, P. Bouvry, E. Alba, Iterated Local Search for de Novo Genomic Sequencing, 10th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Lecture Notes in Artificial Intelligence (LNAI) series, vol. 6114, 2010, Zakopane, Poland, pp. 428-436. ISSN 0302-9743.
13. B. Dorronsoro, J.A. Cañero, G. Danoy, P. Bouvry, A New Parallel Multi-objective Cooperative Coevolutionary Algorithm Based on SPEA2, International Conference of the Association of Latin-Iberoamerican Operational Research Societies, Institute for Operations Research and the Management Sciences (ALIO/INFORMS) Joint International Meeting 2010. Abstract paper.
14. F. Pinel, B. Dorronsoro, P. Bouvry, On the Parallelization of Asynchronous Cellular Genetic Algorithms for Multi-core Architectures, International Conference of the Association of Latin-Iberoamerican Operational Research Societies, Institute for Operations Research and the Management Sciences (ALIO/INFORMS) Joint International Meeting 2010. Abstract communication.
15. F. Pinel, B. Dorronsoro, P. Bouvry, A New Parallel Asynchronous Cellular Genetic Algorithm for Scheduling in Grids, Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Simposium (IPDPS) 2010 Workshop, 2010, Atlanta, USA, p. 206b. ISBN 978-1-4244-6534-7.
16. B. Dorronsoro, P. Bouvry, Un Nuevo Operador Basado en PBX-α para Algoritmos de Evolución Diferencial, Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), III Congreso Español de Informática (CEDI), pp. 489-496, Valencia, España, 2010.
17. J. J. Durillo, B. Dorronsoro, A. J. Nebro, P. Bouvry, Evaluacion de Variantes de CellDE: Un Algoritmo Celular Multi-objetivo con Evolucion Diferencial, Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), III Congreso Español de Informática (CEDI), pp. 51-58, Valencia, España, 2010.
18. G. Danoy, B. Dorronsoro, P. Bouvry, B. Reljic, F. Zimmer, Multi-objective optimization for information sharing in vehicular ad hoc networks, Advances in Information Technology, Communications in Computer and Information Sciences (CCIS), vol. 55, pp. 58-70, 2009. ISSN 1865-0929.
19. F. Pinel, B. Dorronsoro, P. Bouvry, A New Parallel Asynchronous Cellular Genetic Algorithm for de Novo Genomic Sequencing, Proceedings of the 2009 IEEE International Conference of Soft Computing and Pattern Recognition, Malacca, Malaysia, pp. 178-183, 2009. ISBN 978-0-7695-3879-2.
20. G. Luque, E. Alba, B. Dorronsoro, An Asynchronous Parallel Implementation of a Cellular Genetic Algorithm for Combinatorial Optimization, Proceedings of the ACM International Genetic and Evolutionary Computation Conference (GECCO), Montreal, Canadá, pp. 1395-1401, 2009. ISBN 978-1-60558-325-9/09/07.
21. G. Danoy, B. Dorronsoro, P. Bouvry, Overcoming Partitioning in Large Ad Hoc Networks Using Genetic Algorithms, Proceedings of the ACM International Genetic and Evolutionary Computation Conference (GECCO), Montreal, Canadá, pp. 1347-1354, 2009. ISBN 978-1-60558-325-9/09/07.
22. B. Dorronsoro, P. Ruiz, G. Danoy, P. Bouvry, L. Tardón, Towards Connectivity in VANETs using Bipass Links, Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Trondheim, Norway, pp. 2201-2208, 2009. ISBN 978-1-4244-2959-2
23. B. Dorronsoro, E. Alba, P. Bouvry, Búsqueda Local Iterada para el Secuenciado de Cadenas de ADN, Actas del Sexto Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB’09), Málaga, Spain, 2009.
24. B. Dorronsoro, P. Ruiz, G. Danoy, P. Bouvry, L.J. Tardón, Uso de Redes Híbridas para la Mejora de la Conectividad en VANETs, Actas del Sexto Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB’09), Málaga, Spain, 2009.
25. B. Dorronsoro, G. Danoy, P. Bouvry, y E. Alba, Evaluation of Different Optimization Techniques in the Design of Ad Hoc Injection Networks, in: Workshop on Optimization Issues in Grid and Parallel Computing Environments, part of the High Performance Computing and Simulation Conference (HPCS), Nicossia, Cyprus, pp. 290-296, 2008. ISBN: 978-0-9553018-7-2
26. P. Ruiz, B. Dorronsoro, D. Khadraoui, P. Bouvry, y L. Tardón, BODYF – A Parameterless Broadcasting Protocol Over Dynamic Forest, in: Workshop on Optimization Issues in Grid and Parallel Computing Environments, part of the High Performance Computing and Simulation Conference (HPCS), Nicossia, Cyprus, pp. 297-303, 2008. ISBN: 978-0-9553018-7-2
27. B. Dorronsoro, E. Alba, G. Luque, P. Bouvry, A Self-Adaptive Cellular Memetic Algorithm for the DNA Fragment Assembly Problem, Proceedings of the IEEE Congress on Evolutionary Computation (CEC), part of World Conference in Computational Intelligence (WCCI), Hong Kong, pp. 2656-2663, 2008. ISBN: 978-1-4244-1823-7
28. F. Xhafa, J. Carretero, E. Alba, y B. Dorronsoro, Design and Evaluation of a Tabu Search Method for Job Scheduling in Distributed Environments, in: Nature Inspired Distributed Computing (NIDISC) Workshop of the International Parallel and Distributed Processing Simposium (IPDPS), Miami, Florida, p. 11 (publicado en CD). ISBN 978-1-4244-1694-3
29. E. Alba, B. Dorronsoro, F. Luna, A.J. Nebro, C. León, G. Miranda, C. Segura, Metaheurísticas multiobjetivo para optimizar el proceso de difusión en MANETs metropolitanas, in: I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM), II Congreso Español de Informática (CEDI), Zaragoza, España, 2007.
30. B. Dorronsoro, G. Luque, E. Alba, Un Algoritmo Genético Celular Híbrido para el Problema de Ensamblado de Fragmentos de ADN, in: I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM), II Congreso Español de Informática (CEDI), Zaragoza, España, 2007.
31. B. Dorronsoro, D. Arias, F. Luna, A.J. Nebro, E. Alba, A Grid-Based Hybrid Cellular Genetic Algorithm for Very Large Scale Instances of the CVRP, in: High Performance Computing and Simulation (HPC&S), Czech Republic, 2007, pp 759-765.
32.  A.J. Nebro, J.J. Durillo, F. Luna, B. Dorronsoro, E. Alba, A Study of Strategies for Neigborhood Replacement and Archive Feedback in a Multiobjective Cellular Genetic Algorithm, in: Evolutionary Multicriterion Optimization (EMO), LECTURE NOTES IN COMPUTER SCIENCE, vol. 4403, pp. 126-140, Springer-Verlag, Japan, 2007. ISSN 0302-9743.
33. B. Dorronsoro, A.J. Nebro, D. Arias, E. Alba, Un Algoritmo Genético Híbrido Paralelo para Instancias Complejas del Problema VRP, En F. Almeida et al. (eds.), Actas del Quinto Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB’07), pp 135-141, Puerto de la Cruz, Tenerife, España, 2007.
34. A.J. Nebro, F. Luna, E. Alba, B. Dorronsoro, J.J. Durillo, Un Algoritmo Multi-Objetivo basado en Búsqueda Dispersa, En F. Almeida et al. (eds.), Actas del Quinto Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB’07), pp 175-182, Puerto de la Cruz, Tenerife, España, 2007.
35. F. Xhafa, E. Alba, B. Dorronsoro, Efficient Batch Job Scheduling in Grids using Cellular Memetic Algorithms, Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Simposium (IPDPS) 2007 Workshop, pp 1-8.
36. E. Alba, K.F. Doerner, B. Dorronsoro, Adapting the Savings based Ant System for non-stationary Vehicle Routing Problems, In Proceedings of the META 2006, Tunisia, 2006.
    
37. E. Alba, J. Madera, B. Dorronsoro, A. Ochoa, M. Soto, Theory and Practice of Cellular UMDA for Discrete Optimization, In T.P. Runarsson et al. (eds.), Proceedings of the IX Parallel Problem Solving from Nature (PPSN IX), volume 4193 of Lecture Notes in Computer Science, Springer-Verlag, pp. 242-251, 2006. Premio al mejor poster.
    
38. A.J. Nebro, J.J. Durillo, F.Luna, B. Dorronsoro, E. Alba, A Cellular Genetic Algorithm for Multiobjective Optimization, In D. A. Pelta and N. Krasnogor (eds.), Proceedings of the NICSO 2006, pp. 25-36, 2006.
    
39. B. Dorronsoro, E. Alba, A Simple Cellular Genetic Algorithm for Continuous Optimization, In Gary Yen (ed.), Proceedings of the IEEE Congress on Evolutionary Computation (CEC), part of World Conference in Computational Intelligence (WCCI), pp. 2838-2844, 16-21 July 2006.
    
40. F. Luna, A. J. Nebro, B. Dorronsoro, E. Alba, P. Bouvry, L. Hogie, Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search, 3rd European Workshop on Evolutionary Computation in Communication, Networks and Connected System EvoCOMNET, en EvoWorkshops06, LNCS volume 3907, F. Rothlauf and G. D. Smith (eds.), Budapest, Hungría, Springer-Verlag, pp 255-266, Abril de 2006.
    
41. S. Janson, E. Alba, B. Dorronsoro, M. Middendorf, Hierarchical Cellular Genetic Algorithm, Evolutionary Computation in Combinatorial Optimization EvoCOP06, LNCS volume 3906, J. Gottlieb and G. R. Raidl (eds.), Budapest, Hungría, Springer-Verlag, pp 111.122, Abril de 2006.
    
42. E. Alba, B. Dorronsoro, H. Alfonso, Cellular Memetic Algorithms Evaluated on SAT, XI Congreso Argentino de Ciencias de la Computación (CACIC) 2005.
    
43. E. Alba, P. Bouvry, B. Dorronsoro, F. Luna, A.J. Nebro, A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs, Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Simposium (IPDPS) 2005 Workshop, p. 192b. Abril de 2005, Denver, Colorado, USA. ISBN 0-7695-2312-9.
    
44. E. Alba, B. Dorronsoro, H. Alfonso, Advanced Models of Cellular Genetic Algorithms Evaluated on SAT, Genetic and Evolutionary Computation COnference (GECCO) 2005. Junio de 2005, Washington, D.C. USA, pp. 1123-1130. ISBN:1-59593-010-8.
    
45. E. Alba, B. Dorronsoro, Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms, In J. Gottlieb and G. R. Raidl, editors, Evolutionary Computation in Combinatorial Optimization EvoCOP04, LNCS volume 3004, pp 11-20, Coimbra, Portugal, Springer-Verlag, 2004 (bibtex ).
    
46. B. Dorronsoro, E. Alba, M. Giacobini, M. Tomassini, The Influence of Grid Shape and Asynchronicity on Cellular Evolutionary Algorithms,Y. Shi (ed.), IEEE CEC04, pp. 2152-2158, Portland, Oregon, IEEE Press, 2004. (artículo).
    
47. E. Alba, J. F. Chicano, B. Dorronsoro, G. Luque, Diseño de Códigos Correctores de Errores con Algoritmos Genéticos, In C. Hervás, N. García, F. J. Martínez, D. Ortiz, and S. Ventura, editors, Actas del Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB’04), pp 51-58, Córdoba, España, 2004 (resumen , artículo).
    
48. E. Alba, B. Dorronsoro, Auto-Adaptación en Algoritmos Evolutivos Celulares. Un Nuevo Enfoque Algorítimico, in II Congreso Español sobre Metahurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), pp 176-185, Gijón, España, 2003. (resumen , artículo ).
    

 

Informes Técnicos

1. A.J. Nebro, F. Luna, E. Alba, A. Beham, B. Dorronsoro, AbYSS: Adapting Scatter Search for Multiobjective Optimization, Informe Técnico, Dpto. de Lenguajes y CC.CC., Universidad de Málaga, ITI 06-02, 2006 (artículo)
2. J.J. Durillo, A.J. Nebro, F. Luna, B. Dorronsoro, E. Alba, jMetal: a Java Framework for Developing Multi-objective Optimization Metaheuristics, Technical report ITI-2006-10, Department of Languages and Computer Science, University of Málaga.

Enlaces

Algoritmos Evolutivos:

• JCell: Amplia librería codificada en Java que permite trabajar con GAs de estado estacionario, generacional y celular. Incluye todas las mejoras publicadas en cGAs por mi, permitiendo a cualquiera reproducir los resultados publicados en mis trabajos fácilmente.
• Cellular Evolutionary Algorithms Site: Completo sitio web que trata en profundidad todo lo relacionado con los algoritmos evolutivos celulares (estructura de los cEAs, bibliografía, enlaces, investigación ...).
• The VRP Web: Página web con todo lo relacionado al problema VRP (Vehicle Routing Problem): descripción del problema, variantes del problema, instancias, algoritmos utilizados para resolverlo, mejores soluciones conocidas, enlaces, bibliografía, etcétera.
• Networking and Emerging Optimization (NEO)
• Illinois Genetic Algorithms Laboratory (IlliGAL)
• The genetic programming notebook: Completo directorio con información sobre programación genética, inteligencia artificial, algoritmos genéticos, computación evolutiva y robótica

Otros enlaces de interés:

• NEC Research Institute Citeseer Publications ResearchIndex
• Diccionario genético
• El problema de guiado de vehículos (Vehicle Routing Problem - VRP)
• GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with MATLAB
• Principales revistas de investigación
• Principales publicaciones
• Heurísticos & Metaheurísticos
• Imatrics Image Technologies: Se trata de una nueva empresa que ofrece herramientas muy avanzadas (que son el estado del arte en muchos casos) en el campo del procesamiento de imágenes (por ejemplo, quitar ruido, enfocar, eliminar objetos no deseados, etc.)
  

Cellular Genetic Algorithms E. Alba, B. Dorronsoro Series: Operations Research/Computer Science Vol. 42 250 p. 2008 Springer-Verlag ISBN: 978-0-387-77609-5 Table of Contents | Buy it!

Table of Contents

Part I. Introduction

1. Introduction to Cellular Genetic Algorithms
2. The State of the Art in Cellular Evolutionary Algorithms

Part II. Characterizing Cellular Genetic Algorithms

3. On the Effects of Structuring the Population
4. Some Theory: A Selection Pressure Study on cGAs

Part III. Algorithmic Models and Extensions

5. Algorithmic and Experimental Design
6. Design of Self-adaptive cGAs
7. Design of Cellular Memetic Algorithms
8. Design of Parallel Cellular Genetic Algorithms
9. Designing Cellular Genetic Algorithms for Multi-objective Optimization
10. Other Cellular Models
11. Software for cGAs: The JCell Framework

Part IV. Applications of cGAs

12. Continuous Optimization
13. Logistics: The Vehicle Routing Problem
14. Telecommunications: Optimization of the Broadcasting Process in MANETs
15. Bioinformatics: The DNA Fragment Assembly Problem

Part V. Appendix

A. Definition of the Benchmark Problems