| Dynamic multi-objective optimization using evolutionary algorithms: a survey R Azzouz, S Bechikh, L Ben Said Recent advances in evolutionary multi-objective optimization, 31-70, 2017 | 156 | 2017 |
| A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy R Azzouz, S Bechikh, LB Said Soft Computing 21, 885-906, 2017 | 146 | 2017 |
| Multi-objective optimization with dynamic constraints and objectives: new challenges for evolutionary algorithms R Azzouz, S Bechikh, L Ben Said Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015 | 67 | 2015 |
| Recent advances in evolutionary multi-objective optimization S Bechikh, R Datta, A Gupta springer, 2016 | 53 | 2016 |
| Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization R Azzouz, S Bechikh, LB Said, W Trabelsi Swarm and evolutionary computation 39, 222-248, 2018 | 46 | 2018 |
| A multiple reference point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changes R Azzouz, S Bechikh, LB Said 2014 IEEE congress on evolutionary computation (CEC), 3168-3175, 2014 | 45 | 2014 |
| Optimizing capacity allocation in semiconductor manufacturing photolithography area–Case study: Robert Bosch A Ghasemi, R Azzouz, G Laipple, KE Kabak, C Heavey Journal of Manufacturing Systems 54, 123-137, 2020 | 30 | 2020 |
| Use of Model-Based System Engineering methodology and tools for disruption analysis of supply chains: A case in semiconductor manufacturing BA Mousavi, C Heavey, R Azzouz, H Ehm, C Millauer, R Knobloch Journal of Industrial Information Integration 28, 100335, 2022 | 19 | 2022 |
| A survey of model-based system engineering methods to analyse complex supply chains: A case study in semiconductor supply chain BA Mousavi, R Azzouz, C Heavey, H Ehm IFAC-PapersOnLine 52 (13), 1254-1259, 2019 | 18 | 2019 |
| Mathematical modelling of products allocation to customers for semiconductor supply chain BA Mousavi, R Azzouz, C Heavey Procedia Manufacturing 38, 1042-1049, 2019 | 14 | 2019 |
| Leveraging evolutionary algorithms for dynamic multi-objective optimization scheduling of multi-tenant smart home appliances W Trabelsi, R Azzouz, S Bechikh, LB Said 2016 IEEE Congress on Evolutionary Computation (CEC), 3533-3540, 2016 | 14 | 2016 |
| An improved co-evolutionary decomposition-based algorithm for bi-level combinatorial optimization A Chaabani, S Bechikh, L Ben Said, R Azzouz Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 12 | 2015 |
| Simulation-based analysis of the nervousness within semiconductors supply chain planning: insight from a case study BA Mousavi, R Azzouz, C Heavey, H Ehm 2019 Winter Simulation Conference (WSC), 2396-2407, 2019 | 11 | 2019 |
| Recent advances in evolutionary multiobjective optimization R Azzouz, S Bechikh, LB Said Adaptation, Learning, Optimization, 31-70, 2017 | 5 | 2017 |
| Articulating decision maker's preference information within multiobjective artificial immune systems R Azzouz, S Bechikh, LB Said 2012 IEEE 24th International Conference on Tools with Artificial …, 2012 | 4 | 2012 |
| Data-Driven Simulation Analysis of Nervousness in Advanced Planning Systems: A Semiconductor Supply Chain Case Study B Alizadeh Mousavi, C Heavey, C Millauer, R Azzouz, H Ehm Available at SSRN 4182406, 0 | 1 | |
| Digital Twins for Operations and Supply Chain Management from Data Engineering Point of View A Ghasemi, R Azzouz, C Heavey Available at SSRN 4436575, 2023 | | 2023 |
Slim BechikhFull Professor of Computing, University of Carthage, 𝗜𝗘𝗘𝗘 𝗦𝗲𝗻𝗶𝗼𝗿 𝗠𝗲𝗺𝗯𝗲𝗿在 fsegn.rnu.tn 的电子邮件经过验证
