Fatima Benbouzid-Si Tayeb
Orcid: 0000-0001-7032-8544Affiliations:
- École nationale supérieure d'informatique (ESI), Algiers, Algeria
According to our database1,
Fatima Benbouzid-Si Tayeb
authored at least 57 papers
between 2003 and 2024.
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Bibliography
2024
Improved artificial bee colony algorithm based on community detection for link prediction problem.
Multim. Tools Appl., April, 2024
A hybrid approach for enhanced link prediction in social networks based on community detection.
Int. J. Gen. Syst., February, 2024
Flattening Based Cuckoo Search Optimization Algorithm for Community Detection in Multiplex Networks.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
A game-theoretical constructive approach for the multi-objective frequency assignment problem.
Appl. Soft Comput., September, 2023
New Gener. Comput., June, 2023
A Reinforcing-Learning-Driven Artificial Bee Colony Algorithm for Scheduling Jobs and Flexible Maintenance under Learning and Deteriorating Effects.
Algorithms, 2023
Improved Random Key Cuckoo Search Optimization Algorithm for Community Detection in Social Networks.
Proceedings of the 19th International Conference on Web Information Systems and Technologies, 2023
A Novel Hybrid Approach Combining Beam Search and DeepWalk for Community Detection in Social Networks.
Proceedings of the 19th International Conference on Web Information Systems and Technologies, 2023
Fitness Approximation Surrogate-assisted Hyper-heuristic for the Permutation Flowshop Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
A Fitness Approximation Assisted Hyper-heuristic for the Permutation Flowshop Problem.
Proceedings of the Advances in Computational Collective Intelligence, 2023
2022
Exact and metaheuristic approaches for the single-machine scheduling problem with flexible maintenance under human resource constraints.
Int. J. Manuf. Res., 2022
Progress Report: A Deep Learning Guided Exploration of Affine Unimodular Loop Transformations.
CoRR, 2022
Adaptive search space to generate a per-instance genetic algorithm for the permutation flow shop problem.
Appl. Soft Comput., 2022
Permutation Flowshop Scheduling Problem Considering Learning, Deteriorating Effects and Flexible Maintenance.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
An Integrated Artificial Bee Colony Algorithm for Scheduling Jobs and Flexible Maintenance with Learning and Deteriorating Effects.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022
A Constraint Programming Model for the Scheduling Problem with Flexible Maintenance under Human Resource Constraints.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Proceedings of the Advances in Computing Systems and Applications, 2022
Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022
A Hybrid Artificial Bee Colony Algorithm with Simulated Annealing for Enhanced Community Detection in Social Networks.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
Tailored Network Splitting for Community Evolution Prediction in Dynamic Social Networks.
New Gener. Comput., 2021
Impact of Tailored Network Splitting and Community Features' Change Rates on Prediction Accuracy in Dynamic Social Networks.
Proceedings of the 17th International Conference on Web Information Systems and Technologies, 2021
Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, 2021
2020
An efficient hybrid multi-objective memetic algorithm for the frequency assignment problem.
Eng. Appl. Artif. Intell., 2020
A game-theoretic approach for the multi-objective frequency assignment problem in mobile networks.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
2019
Inf. Process. Manag., 2019
An effective multi-objective hybrid immune algorithm for the frequency assignment problem.
Appl. Soft Comput., 2019
An Integrated Guided Local Search considering Human Resource Constraints for the Single-machine Scheduling problem with Preventive Maintenance.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Community evolution prediction in dynamic social networks using community features' change rates.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
A Novel Multi-Objective Immune Memetic Algorithm for the Frequency Assignment Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
A New Hyper-Heuristic to Generate Effective Instance GA for the Permutation Flow Shop Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
Improved Genetic Algorithm for the Fuzzy Flowshop Scheduling Problem with Predictive Maintenance Planning.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Induction Machines Bearing Failures Detection and Diagnosis using Variable Neighborhood Search.
Proceedings of the IECON 2019, 2019
2018
Game theory-based integration of scheduling with flexible and periodic maintenance planning in the permutation flowshop sequencing problem.
Oper. Res., 2018
An effective heuristic for the single-machine scheduling problem with flexible maintenance under human resource constraints.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
Sensitive Analysis of Timeframe Type and Size Impact on Community Evolution Prediction.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Tailored Genetic Algorithm for Scheduling Jobs and Predictive Maintenance in a Permutation Flowshop.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
2017
A hybridization of genetic algorithms and fuzzy logic for the single-machine scheduling with flexible maintenance problem under human resource constraints.
Appl. Soft Comput., 2017
Research on Permutation Flow-shop Scheduling Problem based on Improved Genetic Immune Algorithm with vaccinated offspring.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017
A Hybrid of Variable Neighbor Search and Fuzzy Logic for the permutation flowshop scheduling problem with predictive maintenance.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017
Classical mechanics-inspired optimization metaheuristic for induction machines bearing failures detection and diagnosis.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
A Fuzzy Genetic Algorithm for Single-Machine Scheduling and Flexible Maintenance Planning Integration under Human Resource Constraints.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
2016
Combining graph decomposition techniques and metaheuristics for solving PCSPs. Application to MI-FAP.
Int. J. Reason. based Intell. Syst., 2016
An integrated prognostic based hybrid genetic-immune algorithm for scheduling jobs and predictive maintenance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Considering human resource constraints for real joint production and maintenance schedules.
Comput. Ind. Eng., 2015
Game theoretic modelling of the integrated production and preventive maintenance scheduling problem in permutation flowshops.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Towards an artificial immune system for scheduling jobs and preventive maintenance operations in flowshop problems.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
Decomposition Tehniques for Solving Frequency Assigment Problems (FAP) - A Top-Down Approach.
Proceedings of the ICAART 2014, 2014
2013
A multi-agent approach for scheduling jobs and maintenance operations in the flowshop sequencing problem.
Int. J. Intell. Eng. Informatics, 2013
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013
2011
Joint scheduling of jobs and Preventive Maintenance operations in the flowshop sequencing problem: a resolution with sequential and integrated strategies.
Int. J. Manuf. Res., 2011
A sequantial distributed approach for the joint scheduling of jobs and maintenance operations in the flowshop sequencing problem.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
A Multi-Agent Scheduling Approach for the Joint Scheduling of Jobs and Maintenance Operations in the Flow Shop Sequencing Problem.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011
2007
An Integrated Resolution of Joint Production and Maintenance Scheduling Problem in Hybrid Flowshop.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
2003
Resolution of Joint Maintenance/Production Scheduling by Sequential and Integrated Strategies.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003