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ORCIDEl-Ghazali Talbi
El-Ghazil Talbi
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- affiliation: University of Lille 1, France
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2020 – today
- 2024
[j135]Tansel Dökeroglu, Tayfun Kucukyilmaz
, El-Ghazali Talbi:
Hyper-heuristics: A survey and taxonomy. Comput. Ind. Eng. 187: 109815 (2024)- [j134]Daniel Porumbel, Igor Machado Coelho, El-Ghazali Talbi:
Using an exact bi-objective decoder in a memetic algorithm for arc-routing (and other decoder-expressible) problems. Eur. J. Oper. Res. 313(1): 25-43 (2024) - [j133]Marcelo Becerra-Rozas, José Lemus-Romani, Broderick Crawford, Ricardo Soto, El-Ghazali Talbi:
Intelligent decision-making for binary coverage: Unveiling the potential of the multi-armed bandit selector. Expert Syst. Appl. 251: 124112 (2024) - [j132]Thomas Firmin, Pierre Boulet, El-Ghazali Talbi:
Parallel hyperparameter optimization of spiking neural networks. Neurocomputing 609: 128483 (2024) - [j131]Florian Felten, El-Ghazali Talbi, Grégoire Danoy:
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework. J. Artif. Intell. Res. 79: 679-723 (2024) - [j130]Julie Keisler, El-Ghazali Talbi, Sandra Claudel, Gilles Cabriel:
An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters. J. Mach. Learn. Res. 25: 201:1-201:33 (2024) - [j129]Djaafar Zouache, Adel Got, Deemah Alarabiat, Laith Abualigah, El-Ghazali Talbi:
A novel multi-objective wrapper-based feature selection method using quantum-inspired and swarm intelligence techniques. Multim. Tools Appl. 83(8): 22811-22835 (2024) - [j128]El-Ghazali Talbi:
Metaheuristics for variable-size mixed optimization problems: A unified taxonomy and survey. Swarm Evol. Comput. 89: 101642 (2024) - [c187]Houssem Ouertatani, Cristian Maxim, Smaïl Niar, El-Ghazali Talbi:
Accelerated NAS via Pretrained Ensembles and Multi-fidelity Bayesian Optimization. ICANN (1) 2024: 245-260 - [i20]El-Ghazali Talbi:
Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey. CoRR abs/2401.03880 (2024) - [i19]Halima Bouzidi, Smaïl Niar, Hamza Ouarnoughi, El-Ghazali Talbi:
SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search. CoRR abs/2402.13204 (2024) - [i18]Thomas Firmin, Pierre Boulet, El-Ghazali Talbi:
Parallel Hyperparameter Optimization Of Spiking Neural Network. CoRR abs/2403.00450 (2024) - [i17]Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Radulescu:
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. CoRR abs/2407.16312 (2024) - 2023
- [j127]Daniel Urda, Patricia Ruiz, El-Ghazali Talbi, Pascal Bouvry, Jamal Toutouh:
Editorial of the Special Issue Intelligent Solutions for Efficient Logistics and Sustainable Transportation. Appl. Soft Comput. 133: 109961 (2023) - [j126]Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi:
Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles. Eng. Appl. Artif. Intell. 121: 105941 (2023) - [j125]Sohrab Faramarzi-Oghani, Parisa Dolati Neghabadi, El-Ghazali Talbi, Reza Tavakkoli-Moghaddam:
Meta-heuristics for sustainable supply chain management: a review. Int. J. Prod. Res. 61(6): 1979-2009 (2023) - [c186]Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi:
Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems. GECCO Companion 2023: 139-142 - [c185]Thomas Firmin, El-Ghazali Talbi:
Massively Parallel Asynchronous Fractal Optimization. IPDPS Workshops 2023: 930-938 - [c184]Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva:
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS 2023 - [c183]Thomas Firmin, El-Ghazali Talbi:
A Comparative Study of Fractal-Based Decomposition Optimization. OLA 2023: 3-20 - [c182]Nassime Aslimani, El-Ghazali Talbi, Rachid Ellaia:
Tornado: An Autonomous Chaotic Algorithm for High Dimensional Global Optimization Problems. OLA 2023: 85-113 - [e11]Bernabé Dorronsoro, Francisco Chicano, Grégoire Danoy, El-Ghazali Talbi:
Optimization and Learning - 6th International Conference, OLA 2023, Malaga, Spain, May 3-5, 2023, Proceedings. Communications in Computer and Information Science 1824, Springer 2023, ISBN 978-3-031-34019-2 [contents] - [i16]Julie Keisler, El-Ghazali Talbi, Sandra Claudel, Gilles Cabriel:
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters. CoRR abs/2303.12797 (2023) - [i15]Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi:
A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems. CoRR abs/2306.01021 (2023) - [i14]Florian Felten, Daniel Gareev, El-Ghazali Talbi, Grégoire Danoy:
Hyperparameter Optimization for Multi-Objective Reinforcement Learning. CoRR abs/2310.16487 (2023) - [i13]Florian Felten, El-Ghazali Talbi, Grégoire Danoy:
Multi-Objective Reinforcement Learning based on Decomposition: A taxonomy and framework. CoRR abs/2311.12495 (2023) - 2022
- [j124]Hatem Masri, El-Ghazali Talbi:
Recent advances in multiobjective optimization. Ann. Oper. Res. 311(2): 547-550 (2022) - [j123]El-Ghazali Talbi:
Automated Design of Deep Neural Networks: A Survey and Unified Taxonomy. ACM Comput. Surv. 54(2): 34:1-34:37 (2022) - [j122]El-Ghazali Talbi:
Machine Learning into Metaheuristics: A Survey and Taxonomy. ACM Comput. Surv. 54(6): 129:1-129:32 (2022) - [j121]Maryam Karimi Mamaghan, Mehrdad Mohammadi, Patrick Meyer, Amir Mohammad Karimi-Mamaghan, El-Ghazali Talbi:
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art. Eur. J. Oper. Res. 296(2): 393-422 (2022) - [j120]Martín González, Jose-Juan López-Espín, Juan Aparicio, El-Ghazali Talbi:
A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis. PeerJ Comput. Sci. 8: e828 (2022) - [c181]Juliette Gamot, Romain Wuilbercq, Mathieu Balesdent, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi:
Component Swarm Optimization Using Virtual Forces for Solving Layout Problems. ANTS Conference 2022: 292-299 - [c180]Nassime Aslimani, El-Ghazali Talbi, Rachid Ellaia:
Tchebycheff Fractal Decomposition Algorithm for Bi-objective Optimization Problems. MIC 2022: 246-259 - [c179]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
A Generative Hyper-Heuristic based on Multi-Objective Reinforcement Learning: the UAV Swarm Use Case. CEC 2022: 1-8 - [c178]Halima Bouzidi, Hamza Ouarnoughi, Smaïl Niar, El-Ghazali Talbi, Abdessamad Ait El Cadi:
Co-Optimization of DNN and Hardware Configurations on Edge GPUs. DSD 2022: 398-405 - [c177]Florian Felten, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Metaheuristics-based Exploration Strategies for Multi-Objective Reinforcement Learning. ICAART (2) 2022: 662-673 - [c176]Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi:
Parallel Beam Search for Combinatorial Optimization. ICPP Workshops 2022: 21:1-21:8 - [c175]Halima Bouzidi, Hamza Ouarnoughi, El-Ghazali Talbi, Abdessamad Ait El Cadi, Smaïl Niar:
Evolutionary-Based Co-optimization of DNN and Hardware Configurations on Edge GPU. OLA 2022: 3-12 - [c174]Nassime Aslimani, El-Ghazil Talbi, Rachid Ellaia:
A New Algorithm for Bi-objective Problems Based on Gradient Information. OLA 2022: 49-61 - [c173]Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi:
Parallel Beam Search for Combinatorial Optimization (Extended Abstract). SOCS 2022: 273-275 - [e10]Bernabé Dorronsoro, Mario Pavone, Amir Nakib, El-Ghazali Talbi:
Optimization and Learning - 5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18-20, 2022, Proceedings. Communications in Computer and Information Science 1684, Springer 2022, ISBN 978-3-031-22038-8 [contents] - [i12]Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi:
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles. CoRR abs/2212.11011 (2022) - 2021
- [j119]Nicolas Dupin, Rémi Parize, El-Ghazali Talbi:
Matheuristics and Column Generation for a Basic Technician Routing Problem. Algorithms 14(11): 313 (2021) - [j118]Bahri Oumayma, El-Ghazali Talbi:
Robustness-based approach for fuzzy multi-objective problems. Ann. Oper. Res. 296(1): 707-733 (2021) - [j117]Nicolas Dupin, El-Ghazali Talbi:
Matheuristics to optimize refueling and maintenance planning of nuclear power plants. J. Heuristics 27(1-2): 63-105 (2021) - [j116]Zineb Garroussi, Rachid Ellaia, El-Ghazali Talbi, Jean-Yves Lucas:
A hybrid backtracking search algorithm for energy management in a microgrid. Int. J. Math. Model. Numer. Optimisation 11(2): 143-167 (2021) - [j115]Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin:
Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design. J. Aerosp. Inf. Syst. 18(11): 813-837 (2021) - [c172]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
A Q-Learning Based Hyper-Heuristic for Generating Efficient UAV Swarming Behaviours. ACIIDS 2021: 768-781 - [c171]Nadia Dahmani, Saoussen Krichen, El-Ghazali Talbi, Sanaa Kaddoura:
Solving the Multi-objective 2-Dimensional Vector Packing Problem Using ε-constraint Method. WorldCIST (4) 2021: 96-104 - 2020
- [j114]Léo Souquet, El-Ghazali Talbi, Amir Nakib:
Fractal Decomposition Approach for Continuous Multi-Objective Optimization Problems. IEEE Access 8: 167604-167619 (2020) - [j113]Nicolas Dupin, El-Ghazali Talbi:
Machine Learning-Guided Dual Heuristics and New Lower Bounds for the Refueling and Maintenance Planning Problem of Nuclear Power Plants. Algorithms 13(8): 185 (2020) - [j112]Nassime Aslimani, El-Ghazali Talbi, Rachid Ellaia:
A New Chaotic-Based Approach for Multi-Objective Optimization. Algorithms 13(9): 204 (2020) - [j111]Nicolas Dupin, El-Ghazali Talbi:
Parallel matheuristics for the discrete unit commitment problem with min-stop ramping constraints. Int. Trans. Oper. Res. 27(1): 219-244 (2020) - [j110]Jan Gmys, Tiago Carneiro, Nouredine Melab, El-Ghazali Talbi, Daniel Tuyttens:
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics. Swarm Evol. Comput. 57: 100720 (2020) - [c170]Matthias R. Brust, Pascal Bouvry, Grégoire Danoy, El-Ghazil Talbi:
Design Challenges of Trustworthy Artificial Intelligence Learning Systems. ACIIDS (Companion) 2020: 574-584 - [c169]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach. GECCO Companion 2020: 227-228 - [c168]Latifa Rhanimi Karim, Rachid Ellaia, El-Ghazali Talbi:
Kriging-Based Multi-objective Infill Criterion using NSGA-III for Expensive Black-Box Functions. GOL 2020: 1-10 - [c167]Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi:
Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time. OLA 2020: 179-191 - [c166]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Automating the Design of Efficient Distributed Behaviours for a Swarm of UAVs. SSCI 2020: 489-496 - [p12]Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick 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 2020: 189-224 - [e9]Bernabé Dorronsoro, Patricia Ruiz, Juan Carlos de la Torre, Daniel Urda, El-Ghazali Talbi:
Optimization and Learning - Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings. Communications in Computer and Information Science 1173, Springer 2020, ISBN 978-3-030-41912-7 [contents] - [e8]Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi:
High-Performance Simulation-Based Optimization. Studies in Computational Intelligence 833, Springer 2020, ISBN 978-3-030-18763-7 [contents] - [i11]Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin:
Bayesian optimization of variable-size design space problems. CoRR abs/2003.03300 (2020) - [i10]Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes. CoRR abs/2006.15924 (2020) - [i9]El-Ghazali Talbi, Raca Todosijevic:
Recovery-to-Efficiency: A New Robustness Concept for Multi-objective Optimization under Uncertainty. CoRR abs/2011.10341 (2020)
2010 – 2019
- 2019
- [j109]Oliver Schuetze, Carlos Hernández, El-Ghazali Talbi, Jian-Qiao Sun, Yousef Naranjani, Fu-Rui Xiong:
Archivers for the representation of the set of approximate solutions for MOPs. J. Heuristics 25(1): 71-105 (2019) - [j108]Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin:
Efficient global optimization of constrained mixed variable problems. J. Glob. Optim. 73(3): 583-613 (2019) - [j107]Andrei Tchernykh, Uwe Schwiegelshohn, El-Ghazali Talbi, Mikhail G. Babenko:
Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability. J. Comput. Sci. 36 (2019) - [j106]Amir Nakib, Leo Souquet, El-Ghazali Talbi:
Parallel fractal decomposition based algorithm for big continuous optimization problems. J. Parallel Distributed Comput. 133: 297-306 (2019) - [j105]El-Ghazali Talbi:
A unified view of parallel multi-objective evolutionary algorithms. J. Parallel Distributed Comput. 133: 349-358 (2019) - [j104]Mikhail G. Babenko, Andrei Tchernykh, Nikolay I. Chervyakov, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Raúl Rivera-Rodríguez, Zhihui Du, El-Ghazali Talbi:
Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. Program. Comput. Softw. 45(8): 532-543 (2019) - [j103]Larbi Asli, Méziane Aïder, El-Ghazali Talbi:
Solving a dynamic combinatorial auctions problem by a hybrid metaheuristic based on a fuzzy dominance relation. RAIRO Oper. Res. 53(1): 207-221 (2019) - [c165]Vanessa Miranda-López, Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Maxim Anatolievich Deryabin, Elena Golimblevskaia, Egor M. Shiryaev, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko, El-Ghazali Talbi:
Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. HPCS 2019: 915-922 - [c164]Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi:
K-Medoids Clustering Is Solvable in Polynomial Time for a 2d Pareto Front. WCGO 2019: 790-799 - [i8]Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Bayesian Optimization using Deep Gaussian Processes. CoRR abs/1905.03350 (2019) - [i7]Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi:
Planar p-center problems are solvable in polynomial time when clustering a Pareto Front. CoRR abs/1908.09648 (2019) - 2018
- [j102]El-Ghazali Talbi, Celso C. Ribeiro:
Special issue on "Optimization and Machine Learning". Int. Trans. Oper. Res. 25(4): 1407 (2018) - [j101]Bahri Oumayma, El-Ghazali Talbi, Nahla Ben Amor:
A generic fuzzy approach for multi-objective optimization under uncertainty. Swarm Evol. Comput. 40: 166-183 (2018) - [c163]Bahri Oumayma, El-Ghazali Talbi:
Dealing with Epistemic Uncertainty in Multi-objective Optimization: A Survey. IPMU (3) 2018: 260-271 - [e7]Peter Korosec, Nouredine Melab, El-Ghazali Talbi:
Bioinspired Optimization Methods and Their Applications - 8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings. Lecture Notes in Computer Science 10835, Springer 2018, ISBN 978-3-319-91640-8 [contents] - [r5]Sune S. Nielsen, Grégoire Danoy, Wiktor Jurkowski, Roland Krause, Reinhard Schneider, El-Ghazali Talbi, Pascal Bouvry:
Evolutionary Algorithms for the Inverse Protein Folding Problem. Handbook of Heuristics 2018: 999-1023 - [i6]Nicolas Dupin, El-Ghazali Talbi:
Clustering in a 2-dimensional Pareto Front: the p-median and p-center problems are polynomially solvable. CoRR abs/1806.02098 (2018) - [i5]Ali Hebbal, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab:
Efficient Global Optimization using Deep Gaussian Processes. CoRR abs/1809.04632 (2018) - [i4]Nicolas Dupin, El-Ghazali Talbi:
Matheuristics to optimize maintenance scheduling and refueling of nuclear power plants. CoRR abs/1812.08598 (2018) - 2017
- [j100]Amir Nakib, S. Ouchraa, Nadiya Shvai, Leo Souquet, El-Ghazali Talbi:
Deterministic metaheuristic based on fractal decomposition for large-scale optimization. Appl. Soft Comput. 61: 468-485 (2017) - [j99]El-Ghazali Talbi, Raca Todosijevic:
The robust uncapacitated multiple allocation p-hub median problem. Comput. Ind. Eng. 110: 322-332 (2017) - [j98]Vitor Nazário Coelho, Thays A. Oliveira, Igor Machado Coelho, Bruno N. Coelho, Peter J. Fleming, Frederico G. Guimarães, Helena Ramalhinho Dias Lourenço, Marcone J. F. Souza, El-Ghazali Talbi, Thibaut Lust:
Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign. Comput. Oper. Res. 78: 578-587 (2017) - [j97]Ekaterina Alekseeva, Yury Kochetov, El-Ghazali Talbi:
A matheuristic for the discrete bilevel problem with multiple objectives at the lower level. Int. Trans. Oper. Res. 24(5): 959-981 (2017) - [c162]Manel Hajjem, Hend Bouziri, El-Ghazali Talbi, Khaled Mellouli:
Intelligent Indoor Evacuation Guidance System Based on Ant Colony Algorithm. AICCSA 2017: 1035-1042 - [c161]Martín González, Jose-Juan López-Espín, Juan Aparicio, Domingo Giménez, El-Ghazali Talbi:
A parameterized scheme of metaheuristics with exact methods for determining the Principle of Least Action in Data Envelopment Analysis. CEC 2017: 588-595 - [c160]Oliver Cuate, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi, Oliver Schütze:
An Approach for the Local Exploration of Discrete Many Objective Optimization Problems. EMO 2017: 135-150 - [c159]Manel Hajjem, Hend Bouziri, El-Ghazali Talbi, Khaled Mellouli:
Parallel ant colony optimization for evacuation planning. GECCO (Companion) 2017: 51-52 - [c158]Amir Nakib, Thibaud Rohmer, El-Ghazali Talbi, Abdelhamid Nafaa:
Dynamic Learning Optimization Algorithm for P2P-VoD Systems. HPCC/SmartCity/DSS 2017: 388-395 - [c157]Amir Nakib, Mohamed Hilia, Frederic Heliodore, El-Ghazali Talbi:
Design of Metaheuristic Based on Machine Learning: A Unified Approach. IPDPS Workshops 2017: 510-518 - [p11]Amir Nakib, El-Ghazali Talbi, S. Corniglion:
Medical Image Registration Based on Metaheuristics: A Comparative Study. Metaheuristics for Medicine and Biology 2017: 171-185 - [e6]Amir Nakib, El-Ghazali Talbi:
Metaheuristics for Medicine and Biology. Studies in Computational Intelligence 704, 2017, ISBN 978-3-662-54426-6 [contents] - 2016
- [j96]El-Ghazali Talbi:
Combining metaheuristics with mathematical programming, constraint programming and machine learning. Ann. Oper. Res. 240(1): 171-215 (2016) - [j95]Sophie Jacquin, Laetitia Jourdan, El-Ghazali Talbi:
A multi-objective dynamic programming-based metaheuristic to solve a bi-objective unit commitment problem using a multi-objective decoder. Int. J. Metaheuristics 5(1): 3-30 (2016) - [c156]Bahri Oumayma, Nahla Ben Amor, El-Ghazali Talbi:
β-Robustness Approach for Fuzzy Multi-objective Problems. IPMU (2) 2016: 225-237 - [e5]Maria J. Blesa, Christian Blum, Angelo Cangelosi, Vincenzo Cutello, Alessandro G. Di Nuovo, Mario Pavone, El-Ghazali Talbi:
Hybrid Metaheuristics - 10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016, Proceedings. Lecture Notes in Computer Science 9668, Springer 2016, ISBN 978-3-319-39635-4 [contents] - 2015
- [j94]Patricia Ruiz, Bernabé Dorronsoro, El-Ghazali Talbi, Pascal Bouvry:
Finding a robust configuration for the AEDB information dissemination protocol for mobile ad hoc networks. Appl. Soft Comput. 32: 494-508 (2015) - [j93]Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Using multiobjective optimization for biclustering microarray data. Appl. Soft Comput. 33: 239-249 (2015) - [j92]Pascal Bouvry, El-Ghazali Talbi:
Computational Intelligence for Cloud Computing [Guest Editorial]. IEEE Comput. Intell. Mag. 10(1): 18-19 (2015) - [j91]Mateusz Guzek, Pascal Bouvry, El-Ghazali Talbi:
A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing [Review Article]. IEEE Comput. Intell. Mag. 10(2): 53-67 (2015) - [j90]Sergio Nesmachnow, Santiago Iturriaga, Bernabé Dorronsoro, El-Ghazali Talbi, Pascal Bouvry:
Metaheuristics for the Virtual Machine Mapping Problem in Clouds. Informatica 26(1): 111-134 (2015) - [c155]Bilel Derbel, Arnaud Liefooghe, Gauvain Marquet, El-Ghazali Talbi:
A fine-grained message passing MOEA/D. CEC 2015: 1837-1844 - [c154]Anh Quan Nguyen, Pascal Bouvry, El-Ghazali Talbi:
A new model for VMMP dealing with execution time uncertainty in a multi-clouds system. CloudNet 2015: 165-170 - [c153]Sophie Jacquin, Lucien Mousin, Igor Machado Coelho, El-Ghazali Talbi, Laetitia Jourdan:
A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem. EMO (1) 2015: 381-395 - [c152]Sune S. Nielsen, Grégoire Danoy, Wiktor Jurkowski, Juan Luis Jiménez Laredo, Reinhard Schneider, El-Ghazali Talbi, Pascal Bouvry:
A Novel Multi-objectivisation Approach for Optimising the Protein Inverse Folding Problem. EvoApplications 2015: 14-25 - [c151]Sune S. Nielsen, Grégoire Danoy, Pascal Bouvry, El-Ghazali Talbi:
NK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks. GECCO (Companion) 2015: 915-921 - [c150]Andrei Tchernykh, Uwe Schwiegelshohn, Vassil Alexandrov, El-Ghazali Talbi:
Towards Understanding Uncertainty in Cloud Computing Resource Provisioning. ICCS 2015: 1772-1781 - [c149]Pascal Bouvry, Grégoire Danoy, Franciszek Seredynski, El-Ghazali Talbi, Albert Y. Zomaya:
NIDISC Introduction and Committees. IPDPS Workshops 2015: 275 - [c148]Francois Legillon, Nouredine Melab, Didier Renard, El-Ghazali Talbi:
A Multi-objective Evolutionary Algorithm for Cloud Platform Reconfiguration. IPDPS Workshops 2015: 286-291 - [c147]Hiba Yahyaoui, Saoussen Krichen, Bilel Derbel, El-Ghazali Talbi:
A Hybrid ILS-VND Based Hyper-heuristic for Permutation Flowshop Scheduling Problem. KES 2015: 632-641 - [c146]Sophie Jacquin, Laetitia Jourdan, El-Ghazali Talbi:
DYNAMOP Applied to the Unit Commitment Problem. LION 2015: 223-228 - [p10]