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Books & Chapters

Books

E-G. Talbi (Ed.), "Parallel Combinatorial Optimization", Wiley, ISBN-978-0-471-72101-7, 2006.

E-G. Talbi, P. Liardet, P. Collet, E. Lutton, M. Schoenauer (Eds.), "Artificial Evolution", Lecture Notes in Computer Science LNCS No.3871, Springer, 2006.

E-G. Talbi, A. Zomaya (Eds), "Grid computing for Bioinformatics and Computational Biology", Wiley, ISBN: 978-0-471-78409-8, 2007.

N. Monmarché, E-G. Talbi, P. Collet, M. Schoenauer, E. Lutton (Eds), "Artificial Evolution", Lecture Notes in Computer Science LNCS No.4926, Springer, 2008.

E-G. Talbi, "Metaheuristics: from design to implementation", Wiley, 2009.

E-G. Talbi (Ed.), "Hybrid metaheuristics", Springer, 2013.

E-G. Talbi (Ed.), "Metaheuristics for bi-level optimization", Springer, 2013.

E-G. Talbi, L. Amodeo, F. Yalaoui (Eds.), "Metaheuristics for production systems", Springer, 2015.

M. J. Blesa, C. Blum, A. Cangelosi, V. Cutello, A. Di Nuovo, M. Pavone, E-G. Talbi (Eds), "Hybrid metaheuristics", Lecture Notes in Computer Science LNCS No.9668, Springer, 2016.

A.Nakib, E-G. Talbi (Eds.), "Metaheuristics for medicine and biology", Springer, 2017.

E-G. Talbi, L. Amodeo, F. Yalaoui (Eds.), "Recent developments of metaheuristics", Springer, 2017.

P. Korosec, N. Melab, E-G. Talbi (Eds), "Bioinspired optimization methods and their applications", Lecture Notes in Computer Science LNCS No.10835, Springer, 2018.

T. Bartz-Beielstein, B. Filipic, P. Korosec, E-G. Talbi (Eds.), "High-performance simulation based optimization", Springer, 2020.

B. Dorronsoro, P. Luiz, J. C. De la Torre, D. Urda, E-G. Talbi (Eds.), "Optimization and learning", Springer, 2020.

F. Yalaoui, L. Amodeo, E-G. Talbi (Eds.), "Heuristics for optimization and learning", Springer, 2020.


Chapters in Book

J-M.Ahuactzin, E-G.Talbi, P.Bessière, E.Mazer, "Using genetic algorithms for robot motion planning", in Geometric Reasonning for Perception and Action, Edited by C. Laugier, pp.84-93, Springer-Verlag, 1993.

T. Muntean, E. G. Talbi, "Parallel genetic approach to solve automatic process allocation within massively parallel systems", in Genetic Algorithms in Optimization, Simulation and Modeling, IOS Press, pages 95-111, 1994.

E-G.Talbi, P.Bessière, J-M.Ahuactzin, E.Mazer, "Cooperating parallel genetic algorithms", in Practical Handbook of Genetic Algorithms : New Frontiers, Edited by L. Chambers, CRC Press, USA, pp.92-109, 1995.

P.Bessière, J-M.Ahactzin, E-G.Talbi, E.Mazer, "The Ariadne’s clew algorithm : global planning with local methods", in Algorithmic Foundations of Robotics, Edited by K.Goldberg, D.Halperin, J-C.Latombe and R.Wilson, A K Peters Publishers, Wellesley, Massachusetts, pp.39-47, USA, 1995.

E-G. Talbi, "Algorithmes génétiques parallèles : Techniques et applications", in Parallélisme et applications irrégulières, Edité par C. Roucairol et al., Hermes, France, pages 29-48, 1995.

Y.Denneulin, J-M.Geib, F.Hemery, J-F.Méhaut, J-F.Roos, E-G.Talbi, "Structures de données irrégulières et régulation de charge", in Parallélisme et Applications Irrégulières, Edité par C.Roucairol et al., Hermes, pp.203-237, 1995.

E-G. Talbi, P. Bessière, in Applications on Advanced Architecture Computers, "A parallel genetic algorithm applied to the mapping problem", SIAM Software Environments Tools, USA, edited by G. Astfalk, pages 35-44, 1996.

E-G. Talbi, Z. Hafidi, J-M. Geib, "Parallel adaptive tabu search for large optimization problems", in Meta-heuristics - Advances and Trends in Local Search Paradigms for Optimization, edited by S. Voss, S. Martello, I.H. Osman and C. Roucairol, pages 255-266, Kluwer Academic Press, USA, 1999.

C. Fonlupt, D. Robillard, P. Preux, E-G. Talbi, "Fitness landscape and performance of metaheuristics", in Meta-heuristics - Advances and Trends in Local Search Paradigms for Optimization, edited by S. Voss, S. Martello, I.H. Osman and C. Roucairol, pages 345-358, Kluwer Academic Press, USA, 1999.

E-G. Talbi, Z. Hafidi, D. Kebbal, J-M. Geib, "MARS : An adaptive parallel programming environment", in High Performance Cluster Computing, Vol.1 : Architectures and Systems, pp.722-739, Edited by B. Rajkumar, Prentice-Hall, USA, 1999.

E-G. Talbi, "Towards hybrid biologically inspired heuristics", in Solutions to Parallel and Distributed Computing Problems : Lessons from Biological Sciences, Edited by A. Y. Zomaya, F. Ercal and S. Olariu, John Wiley and Sons, USA, pp.69-86, 2001.

L. Jourdan, C. Dhaenens, E-G. Talbi, "A genetic algorithm to exploit genetic data", in Evolutionary Computation in Bioinformatics, Edited by G. B. Fogel and D. W. Corne, Morgan Kauffmann Publishers, USA, pp.297-316, ISBN:1-55860-797-8, Oct 2002.

N. Jozefowiez, E-G. Talbi, F. Semet, "A multi-objective evolutionary algorithm for the covering tour problem", in Applications of multi-objective evolutionary algorithms, Edited by C.C. Coello and G.B. Lamont, World Scientific, pp.247-267, USA, 2004.

M. Basseur, F. Seynhaeve, E-G. Talbi. “A cooperative metaheuristic applied to multiobjective flow-shop problem”. In Real-world Multi-objective System Engineering, Edited by N. Nedjah and L. M. Mourrelle, Nova Science Publishers, USA, Feb 2005.

L. Jourdan, C. Dhaenens and E-G. Talbi, "Evolutionary Data Mining for Genomics", In the Encyclopedia of Data warehousing and Mining, Edited by J. Yang, Editor Idea Group, USA, April 2005.

N. Melab, E-G. Talbi, M. Mezmaz, B. Wei, “Parallel hybrid multi-objective metaheuristics o,n P2P systems”, in Handbook of Bioinspired Algorithms and Applications, pp.649-663, Edited by S. Olariu and A. Zomaya, CRC Press, 2005.

E. Alba, E-G. Talbi, G. Luque, N. Melab, “Metaheuristic and parallelism”, in Parallel Metaheuristics, pp.79-104, Edited by E. Alba, John Wiley & Sons, 2005.

S. Cahon, N. Melab, E-G. Talbi, “Sélection d’attributs en fouille de données sur Grilles”, in Extraction des connaissances: Etat et perspectives, pp.79-104, Editions Cépaduès, ISBN 2-85428-707.X, Nov 2005.

C. Cotta, E-G. Talbi, E. Alba, « Parallel hybrid metaheuristics », in Parallel Metaheuristics, Edited by E. Alba, pp. 347-370, John Wiley & Sons, 2005.

A. J. Nebro, F. Luna, E-G. Talbi, E. Alba, “Parallel multi-objective optimization”, in Parallel Metaheuristics, Edited by E. Alba, pp.371-394, John Wiley & Sons, 2005.

N. Melab, E-G. Talbi, M-S. Mezmaz and B. Wei. “Parallel hybrid multi-objective metaheuristics on P2P Systems”. In Handbook of Bioinspired Computing, Edited by S. Olariu and A. Y. Zomaya, pp.649-663, CRC Press, USA, 2006.

S. Cahon, N. Melab, E-G. Talbi, "Frameworks for the design of reusable parallel and distributed metaheuristics", in Handbook of Bioinspired Algorithms and Applications, Edited by S. Olariu and A.Y. Zomaya, pp.639-648, CRC Press, USA, 2006.

L. Jourdan, M. Khabzaoui, C. Dhaenens, E-G. Talbi, "A hybrid metaheuristic for knowledge discovery in microarray experiments", in Handbook of Bioinspired Algorithms and Applications, Edited by S. Olariu and A.Y. Zomaya, pp.491-508, CRC Press, USA, 2006.

B. Weinberg, E-G. Talbi, "A Cooperative parallel metaheuristic applied to graph coloring problem", in Handbook of Bioinspired Algorithms and Applications, Edited by S. Olariu and A.Y. Zomaya, CRC Press, 625-638, USA, 2006.

M. Khabzaoui, C. Dhaenens, E-G. Talbi, "A cooperative genetic algorithm for knowledge discovery in microarray experiments", in Parallel Computing for Bioinformatics and Computational Biology, Edited by A.Y. Zomaya, John Wiley & Sons, 303-324, USA, 2006.

N. Melab, E-G. Talbi, S. Cahon. “On parallel evolutionary algorithms on the computational Grid”. In Parallel Evolutionary Computations, Edited by N. Nedjah and E. Alba, pp.117-132, Springer, 2006.

M. Basseur, L. Jourdan, E-G. Talbi, “Towards parallel design of hybrids between metaheuristics and exact methods”. In Parallel Combinatorial Optimization, pp.163-186, Edited by E-G. Talbi, Wiley, 2006.

C. Dhaenens, J. Lemesre, N. Melab, M. Mezmaz, E-G. Talbi, “Parallel exact methods for multi-objective combinatorial optimization”. In Parallel Combinatorial Optimization, pp.187-210, Edited by E-G. Talbi, Wiley, 2006.

N. Melab, E-G. Talbi, S. Cahon, E. Alba, G. Luque, “Parallel metaheuristics: algorithms and frameworks”. In Parallel Combinatorial Optimization, pp.149-162, Edited by E-G. Talbi, Wiley, 2006.

A. Tantar, N. Melab, E-G. Talbi, “Molecular docking using grid computing”. In Grids for Bioinformatics and Computational Biology, Edited by E-G. Talbi, Wiley, 2007.

L. Jourdan, C. Dhaenens, E-G. Talbi, “Evolutionary feature selection for bioinformatics”. In Computational Intelligence in Bioinformatics, Edited by G. Fogel, Y. Pan and D. Corne, Wiley, 2007.

N. Jozefowiez, F. Semet, E-G. Talbi, “From single-objective to multi-objective vehicle routing problems”. In The vehicle routing problem: Latest advances and new challenges, Edited by B.L. Golden and R. Raghavan and E. Wasil, Springer, 2007.

A. Bendjoudi, S. Guerdah, M. Mansoura, N. Melab, E-G. Talbi “Peer-to-peer branch and bound and genetic algorithms for the flow-shop scheduling problem”, In Metaheuristics for scheduling in distributed computing environments, Edited by F. Xhafa, A. Abraham, pp.301-321, Springer, 2008.

E-G. Talbi, S. Mostaghim, T. Okabe, H. Ishibuchi, G. Rudolph, C. C. Coello, “Parallel approaches for multi-objective optimization”. In Interactive and Evolutionary Multi-objective Optimization, Edited by J. Branke, K. Deb, K. Miettinen, R. Slowinski, pp.355-378, Springer, 2008.

E. Tantar, A. Tantar, N. Melab, E-G. Talbi “Landscape analysis in adaptive metaheuristics for grid computing”, In Parallel Programming, Models and Applications for Grid Computing, Edited by F. Xhafa, IOS Press, pp.313-344, 2009.

A. Tantar, N. Melab, E-G. Talbi “An a nalysis of dynamic mutation operators for conformational sampling”, In Biologicall-inspired Optimization Methods, edited by A. Lewis, S. Mostaghim and M. Randall, Springer, pp.291-323, 2009.

A. Liefooghe, L. Jourdan, T. Legrand, J. Humeau, E-G. Talbi “ParadisEO-MOEO: A software framework for evolutionary multi-objective optimizaiton”, In Advances in Multi-objective Nature Inspired Computing, edited by C. C. Coello et al., Springer, pp.87-117, 2010.

A. Tantar, N. Melab, E-G. Talbi, “A Grid-Based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction”, in Parallel and Distributed Computational Intelligence, edited by F. Fernandez de Vega and E. Cantu-Paz, pp.291-319, 2010.

Y. Kessaci, M. Mezmaz, N. Melab, E-G. Talbi, D. Tuyttens, “Parallel evolutionary algorithms for energy aware scheduling”, in Intelligent Decision Systems in Large Scale distributed Environments, Springer, 2011.

K. Seridi, L. Jourdan, E-G. Talbi, "Multi-objective bi-clustering of gene expression data with bioinspired algorithms", in Handbook of Biological Knowledge Discovery, edited by A. Zomaya and M. Elloumi, Wiley, 2012.

E-G. Talbi, "A taxonomy of metaheuristics for bilevel optimization", in Metaheuristics for bilevel optimization, edited by E-G. Talbi, Springer, 2013.

M. Khouadjia, B. Sarasola, E. Alba, E-G. Talbi, L. Jourdan, "Metaheuristics for dynamic vehicle routing", in Metaheuristics for dynamic optimization, edited by E. Alba, A. Nakib and P. Siarry, pp.265-289, Springer, 2013.

M. Drugan, E-G. Talbi, "Adaptive multi-operator metaheuristics for quadratic assignment problems", in EVOLVE – A bridge between probability, set oriented numerics and evolutionary algorithms, Edited by A. Tantar et al. Springer, pp.149-163, 2014.

E-G. Talbi, "Parallel evolutionary combinatorial optimization", in Handbook of Computational Intelligence, edited by J. Kacprzyk and W. Pedrycz, Springer, pp.1107-1125, 2015.

O. Bahri, N. Ben Amor, E-G. Talbi, "Possibilistic framework for multi-objective optimization under uncertainty", in Recent developments of metaheuristics, edited by L. Amodeo et al., Springer, pp.17-42, 2017.

A.Nakib, E-G. Talbi,, S. Corniglion, "Medical image registration based on metaheuristics: A comparative study", in Metaheuristics for medecine and biology, edited by A. Nakib et al., Springer, pp.171-185, 2017.

J. Pelamatti, L. Brevault, M. Balesdent, E-G. Talbi, Y. Guerin. How to deal with mixed-variable optimization problems: An overview of algorithms and formulations. Advances in Structural and Multidisciplinary Optimization, edited by A. Schumacher et al., Springer, pp.64-82, 2018.

J. Pelamatti, L. Brevault, M. Balesdent, E-G. Talbi, Y. Guerin. Overview and comparison of Gaussian Process-based surrogate models for mixed continuous and discrete variables: application on aerospace design problems. High Performance simulation based optimization, edited by T. Bartz-Beielstein, B. Filipic, P. Korosec, E-G. Talbi, Springer, pp.189-224, 2020.

L. Brevault, J. Pelamatti, A. Hebbal, M. Balesdent, E-G. Talbi, N. Melab. Multi-disciplinary design optimizationrelated issues: multi-objective and mixed continuous/discrete optimization. Aerospace system analysis in uncertainty, edited by L. Brevault, M. Balesdent, J. Morio, Springer, pp.321-358, 2020.