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Abdelghani Bekrar
Researcher at Centre national de la recherche scientifique
Publications - 92
Citations - 1731
Abdelghani Bekrar is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Job shop scheduling & Physical Internet. The author has an hindex of 17, co-authored 84 publications receiving 1173 citations. Previous affiliations of Abdelghani Bekrar include Team Losi & university of lille.
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An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem
TL;DR: Experimental results proved that the developed PSO is enough effective and efficient to solve the FJSP and the distribution of the PSO-solving method for future implementation on embedded systems that can make decisions in real time according to the state of resources and any unplanned or unforeseen events is studied.
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Whale optimization algorithm based optimal reactive power dispatch: A case study of the Algerian power system
TL;DR: A new metaheuristic technique inspired from the bubble-net hunting technique of humpback whales, namely whale optimization algorithm (WOA), has been applied to solve the ORPD problem and is compared with two own developed methods.
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Benchmarking flexible job-shop scheduling and control systems
Damien Trentesaux,Cyrille Pach,Abdelghani Bekrar,Yves Sallez,Thierry Berger,Thérèse Bonte,Paulo Leitão,Jose Barbosa +7 more
TL;DR: A benchmark system based on a real production cell is proposed, which allows the evaluation of static optimization performances using traditional operation research tools and the Evaluation of control system's robustness faced with unexpected events.
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Two stage particle swarm optimization to solve the flexible job shop predictive scheduling problem considering possible machine breakdowns
Maroua Nouiri,Abdelghani Bekrar,Abderrazak Jemai,Damien Trentesaux,Ahmed Chiheb Ammari,Smail Niar +5 more
TL;DR: The flexible job shop scheduling problem under machine breakdowns is considered and a two stages particle swarm optimization (2S-PSO) is proposed to solve the problem assuming that there is only one breakdown.
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Decentralized Motion Planning and Scheduling of AGVs in an FMS
TL;DR: Decentralized motion planning and scheduling of automated guided vehicles (AGVs) in a flexible manufacturing system allowing each AGV to update its destination resource during navigation in order to complete the transported product is proposed.