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BONUS: Optimisation de grande taille et calcul large échelle

Homepage: inria.fr
Alternate name: BONUS: Big Optimization aNd Ultra-Scale Computing
ROR: 04zja0e38
OpenAlex ID: I4405261234
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
2021 · Maryam Karimi-Mamaghan, Mehrdad Mohammadi, et al. · European Journal of Operational Research · 501
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Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability
2016 · Andrei Tchernykh, Uwe Schwiegelsohn, et al. · Journal of Computational Science · 182
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities, application to aerospace systems
2020 · Loïc Brevault, Mathieu Balesdent, et al. · Aerospace Science and Technology · 113
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Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization
2019 · Arnaud Liefooghe, Fabio Daolio, et al. · IEEE Transactions on Evolutionary Computation · 99
Hyper-heuristics: A survey and taxonomy
2023 · Tansel Dokeroglu, Tayfun Kucukyilmaz, et al. · Computers & Industrial Engineering · 98
A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem
2020 · Jan Gmys, Mohand Mezmaz, et al. · European Journal of Operational Research · 89
Bayesian optimization using deep Gaussian processes with applications to aerospace system design
2020 · Ali Hebbal, Loïc Brevault, et al. · Optimization and Engineering · 70
Automated Design of Deep Neural Networks
2021 · El-Ghazali Talbi · ACM Computing Surveys · 66
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework
2024 · Florian Felten, El-Ghazali Talbi, et al. · Journal of Artificial Intelligence Research · 59
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Deep Gaussian process for multi-objective Bayesian optimization
2022 · Ali Hebbal, Mathieu Balesdent, et al. · Optimization and Engineering · 59
What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization
2022 · Richard Allmendinger, Andrzej Jaszkiewicz, et al. · Computers & Operations Research · 48
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High-Performance Simulation-Based Optimization
2019 · Bartz-Beielstein, Thomas, Filipič, Bogdan, et al. · Studies in computational intelligence · 47
A unified view of parallel multi-objective evolutionary algorithms
2018 · El-Ghazali Talbi · Journal of Parallel and Distributed Computing · 44
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A generic fuzzy approach for multi-objective optimization under uncertainty
2018 · Oumayma Bahri, El-Ghazali Talbi, et al. · Swarm and Evolutionary Computation · 44
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics
2020 · Jan Gmys, Tiago Carneiro, et al. · Swarm and Evolutionary Computation · 42
Hidden-variables genetic algorithm for variable-size design space optimal layout problems with application to aerospace vehicles
2023 · Juliette Gamot, Mathieu Balesdent, et al. · Engineering Applications of Artificial Intelligence · 27
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Heuristics for Optimization and Learning
2020 · Yalaoui, Farouk, Amodeo, Lionel, et al. · Studies in computational intelligence · 26
A context-oriented framework for computation offloading in vehicular edge computing using WAVE and 5G networks
2021 · Alisson Barbosa de Souza, Paulo Antonio Leal Rego, et al. · Vehicular Communications · 20
Metaheuristics for variable-size mixed optimization problems: A unified taxonomy and survey
2024 · El-Ghazali Talbi · Swarm and Evolutionary Computation · 19
Multi-objective optimization using Deep Gaussian Processes: Application to Aerospace Vehicle Design
2019 · Ali Hebbal, Loïc Brevault, et al. · AIAA SciTech Forum · 19
Archivers for the representation of the set of approximate solutions for MOPs
2018 · O. Schütze, C. Hernández, et al. · Journal of Heuristics · 17
Evolutionary Computation in Combinatorial Optimization
2019 · Liefooghe, Arnaud, Paquete, Luís · Lecture notes in computer science · 15
Parallel hyperparameter optimization of spiking neural networks
2024 · Thomas Firmin, Pierre Boulet, et al. · Neurocomputing · 14
A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints
2024 · José Ángel Morell, Zakaria Abdelmoiz Dahi, et al. · Future Generation Computer Systems · 14
Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness
2023 · Arnaud Liefooghe, Gabriela Ochoa, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 14
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Works count: 123
Citation count: 2,792
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