Výsledky vyhledávání - "Atef Jaballah"

ILS-RVND Algorithm for Multi-trip Pickup and Delivery Problem, with Split Loads, Profits and Multiple Time Windows

Autor: Wahiba Ramdane Cherif-Khettaf, Atef Jaballah, Fernando Ferri

Publikováno v: Computational Logistics
De Armas, J.; Ramalhinho, H.; Voß, S. Computational Logistics, 13557, Springer International Publishing, pp.105-119, 2022, Lecture Notes in Computer Science, 978-3-031-16579-5. ⟨10.1007/978-3-031-16579-5_8⟩
Lecture Notes in Computer Science ISBN: 9783031165788

International audience; This paper deals with a real application encountered in the construction sector, which consists in a new variant of the pickup and delivery problem, including several constraints that have never been combined in the same varia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c523ee026cb0654d6299425f9b4af3
https://inria.hal.science/hal-04056151

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Multi-trip pickup and delivery problem, with split loads, profits and multiple time windows to model a real case problem in the constructionindustry

Autor: Atef Jaballah, Wahiba Ramdane Cherif-Khettaf

Publikováno v: ICORES

International audience; This paper presents the first optimization study of multi-site transportation in the construction industry, whichallows mutualizing building material delivery and construction waste removal. This study is inspired by a real-wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41ad75e03830ae2b0f7aedca6a947e13
https://hal.archives-ouvertes.fr/hal-02985164/document

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A new algorithm based CSP framework for RFID network planning

Autor: Aref Meddeb, Atef Jaballah

Publikováno v: Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing, 2020, 1, ⟨10.1007/s12652-020-02446-5⟩
Journal of Ambient Intelligence and Humanized Computing, Springer, 2020, 1, ⟨10.1007/s12652-020-02446-5⟩

The huge growth of industrial society requires the deployment of radio frequency identification networks on a large scale. This necessitates the installation of a large number of radio frequency identification components (readers, tags, middleware an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6deaf2f2f3a06a9227aa779f5b5c82dd
https://hal.science/hal-02985156/document

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A new variant of cuckoo search algorithm with self adaptive parameters to solve complex RFID network planning problem

Autor: Aref Meddeb, Atef Jaballah

Publikováno v: Wireless Networks. 25:1585-1604

With the paradigm of the Internet of things, each object in the physical world can be remotely identified, controlled, and located through networks. Thanks to their low cost and their small form, the Radio frequency identification (RFID) tags are fre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f95d23d95bf4a89c5b2328fa2641f7b
https://doi.org/10.1007/s11276-017-1616-9

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Algorithm for Readers Arrangement without Collision in RFID Networks

Autor: Atef Jaballah, Aref Meddeb

Publikováno v: PDCAT

Radio Frequency IDentification (RFID) was identified as one of the ten best technologies in the 21st century. This technology is frequently used in different sectors: industrial, agricultural and academic. In RFID networks, readers and tags communica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::19ca53f1d528242a2227a1e5c82f27bc
https://doi.org/10.1109/pdcat.2017.00059

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Self adaptive cuckoo search algorithm for RFID network planning

Autor: Aref Meddeb, Atef Jaballah

Publikováno v: 2017 Internet Technologies and Applications (ITA).

The Radio Frequency Identification (RFID) network planning problem is a critical issue because it strongly has an impact on Quality of Service (QoS) and cost efficiency. However, finding an optimal planning for a large scale RFID network is an NP-har

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::31aaa0772b2598c98eeae48aa82d3e15
https://doi.org/10.1109/itecha.2017.8101922

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