Coupling robust optimization and Model-Checking techniques for robust scheduling in the context of Industry 4.0

Autor: Alexis Aubry, Pascale Marangé, Christelle Bloch, Sylvie Norre, David Lemoine, Jean-François Pétin, Sara Himmiche

Publikováno v: Scheduling in Industry 4.0 and Cloud Manufacturing
Boris Sokolov and Dmitry Ivanov and Alexandre Dolgui. Scheduling in Industry 4.0 and Cloud Manufacturing, 289, Springer International Publishing, 2020, International Series in Operations Research & Management Science, 978-3-030-43176-1. ⟨10.1007/978-3-030-43177-8_6⟩
International Series in Operations Research & Management Science ISBN: 9783030431761

International audience; This chapter presents a generic methodology when considering robustness in production systems of Industry 4. It is the first milestone for coupling Operations Research models for robust optimization and Discrete Event Systems

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c696f0a87011100283ec9c035d50b40
https://hal.science/hal-02479424

A greedy based algorithm for a bi-objective Pickup and Delivery Problem with Transfers

Autor: Hervé Manier, Alexis Godart, Marie-Ange Manierl, Christelle Bloch

Publikováno v: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
International Conference on Systems, Man, and Cybernetics
International Conference on Systems, Man, and Cybernetics, Oct 2019, Bari, Italy
SMC

International audience; Optimization of urban transport is an evergrowing research area, especially with the massive success ofe-commerce, the substantial demographic increase in urban areas, but also exploring interesting trends such as flexiblemult

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5df95f778e78c98388bf58e1a4de813
https://hal.archives-ouvertes.fr/hal-03221895

Trade-Off Between Diversity and Convergence in Multi-objective Genetic Algorithms

Autor: Wahabou Abdou, Christelle Bloch

Publikováno v: Data-Driven Modeling for Sustainable Engineering ISBN: 9783030136963

Multi-objective genetic algorithms allow solving complex problems. They are often used to solve real-world problems. However, close scrutinizes of the execution of these algorithms show that they could suffer from premature convergence or diversity l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d90e6a0e2b338e975b23cf4a2ef1e0aa
https://doi.org/10.1007/978-3-030-13697-0_4

Behaviour Study of an Evolutionary Design for Permutation Problems

Autor: Hind Mohammed Ali, Wahabou Abdou, François Spies, Pascal Chatonnay, Christelle Bloch

Publikováno v: International Congress on Information and Communication Technology
International Congress on Information and Communication Technology, Feb 2018, London, United Kingdom. pp.845-853
Advances in Intelligent Systems and Computing ISBN: 9789811311642

International audience; This paper studies an evolutionary representation/crossover combination for permutation problems, which are met in many application fields. Many efficient methods exist to solve these various variants. Increasing performances

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d5e0e156f337ba065c339caf7e6f28e
https://hal.archives-ouvertes.fr/hal-01992638

Cross-Platform Scenario Module for Internet of Things Testing Architecture

Autor: Osama Abu Oun, Christelle Bloch, François Spies

Publikováno v: Internet of Things. IoT Infrastructures ISBN: 9783319470740
IoT 360 (2)

The Internet of Things (IoT) represents a vision in which the Internet extends into the real world embracing everyday objects [9]. Billions of objects are already connected to the Internet. These objects would intercommunicate without any human inter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2129e3897585a7ab5f074b6e2d67d9d5
https://doi.org/10.1007/978-3-319-47075-7_43