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Digital World and Robotics
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Energy and Environment
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Transport and Mobility
Laboratory of Computer Engineering and Automatic of Artois (LGI2A)
Research unit - UR 3926
After almost 25 years of existence, the LGI2A has forged a solid position within the scientific community in its preferred fields of belief function theory, combinatorial optimization and model-less control. Our tools enable us to optimise, simulate and control complex systems taking into account the imperfection of data.
The LGI2A has been structured around a multidisciplinary team. The LGI2A research area is Decision Support. It is divided into two complementary scientific themes:
• Optimization of Complex Systems (OptiSCo),
• Decision and Fusion of Information(DFI),
The core application areas of our laboratory are sustainable logistics and intelligent mobility, but our national and international collaborations have allowed us to address other areas where decision-making is needed.
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Hamid Allaoui
Director
Rue Gérard Philippe
Université d'Artois, Faculté des Sciences Appliquées, Technoparc Futura
62400 BETHUNE
https://www.lgi2a.univ-artois.fr
Effectif
Effectif total : 31
Personnel de recherche : 29
Personnel d'appui à la recherche : 1
Skills
Our expertise addresses the key societal challenges of ecological transformation and digital transformation, as outlined in the REV3 initiative of the Hauts de France region, which aims to foster a sustainable and connected economy. Sustainable logistics and intelligent mobility are two socio economic sectors deeply impacted by both transformations. Through advanced approaches in optimization, information fusion, control, and machine learning, our solutions efficiently tackle the following challenges:
• Data availability and uncertainty
→ Accurately model uncertainty using the theory of belief functions.
→ Integrate heterogeneous and incomplete data through advanced information fusion algorithms.
→ Develop robust methods for solving stochastic models.
• Exploration of large decision spaces
→ Design and develop efficient combinatorial optimization algorithms (metaheuristics, advanced heuristics) to rapidly explore vast and complex decision spaces.
→ Implement artificial intelligence models (machine learning) to identify effective solutions in dynamic and uncertain environments.
• Multiple criteria to consider
→ Develop multi-criteria tools integrating sustainablity indicators.
o Design multi-criteria decision analysis (MCDA) methods to prioritize and compare alternative solutions.
• Multi-actor decision-making and collaboration
→ Create and implement collaborative frameworks that facilitate joint decision-making among multiple stakeholders (centralized mode).
→ Develop collaborative models and algorithms to reconcile divergent objectives and promote optimized solutions accepted by all actors (decentralized mode).
• Control of complex systems
→ Design control strategies for systems exhibiting complex dynamic behaviors (model-free control, fuzzy control, etc.).
→ Take into account nonlinear interactions, time delays, and uncertainties in system dynamics.
• Data availability and uncertainty
→ Accurately model uncertainty using the theory of belief functions.
→ Integrate heterogeneous and incomplete data through advanced information fusion algorithms.
→ Develop robust methods for solving stochastic models.
• Exploration of large decision spaces
→ Design and develop efficient combinatorial optimization algorithms (metaheuristics, advanced heuristics) to rapidly explore vast and complex decision spaces.
→ Implement artificial intelligence models (machine learning) to identify effective solutions in dynamic and uncertain environments.
• Multiple criteria to consider
→ Develop multi-criteria tools integrating sustainablity indicators.
o Design multi-criteria decision analysis (MCDA) methods to prioritize and compare alternative solutions.
• Multi-actor decision-making and collaboration
→ Create and implement collaborative frameworks that facilitate joint decision-making among multiple stakeholders (centralized mode).
→ Develop collaborative models and algorithms to reconcile divergent objectives and promote optimized solutions accepted by all actors (decentralized mode).
• Control of complex systems
→ Design control strategies for systems exhibiting complex dynamic behaviors (model-free control, fuzzy control, etc.).
→ Take into account nonlinear interactions, time delays, and uncertainties in system dynamics.
Example(s) of publications
1. Sustainable Logistics
We have focused our efforts on the planning of sustainable logistics. Our expertise in planning is oriented around three key aspects: multi-criteria and multi-objective approaches linked to sustainablity, the consideration of uncertainty due to system imperfections, and collaboration between stakeholders to overcome the limitations of enterprise-centered visions. This expertise is applied across the three levels of planning:
• At the strategic level:
→ Designing sustainable supply chains (network design).
→ Optimizing economic, environmental, and social impacts during the configuration of logistics networks.
→ Locating hubs in both single-actor and multi-actor cases, including the analysis of multiple collaboration scenarios.
→ Positioning buffers within a Demand-Driven MRP (DDMRP) framework.
• At the tactical level:
→ Organizing the sharing of physical resources (transport, warehouses, etc.) and/or informational resources (forecasts, schedules, etc.).
→ Improving the three pillars of sustainable development within a collaborative framework.
→ Sizing resources in hospital emergency services or determining shared capacities between multiple hospitals within the framework of GHT (Groupements Hospitaliers de Territoire).
• At the operational level:
→ Planning vehicle routes while considering environmental impacts (pick-up and delivery tours, maintenance technician routes, home hospitalization visits, carpooling).
→ Scheduling production, maintenance, and distribution operations.
→ Scheduling operations in hospital systems.
→ Using drones and Automated Mobile Robots (AMRs) for logistics tasks (inventory, preparation, loading, unloading, etc.).
2. Intelligent Mobility
Our expertise in this area mainly focuses on traffic flow regulation and smart vehicles, both key components of Intelligent Transportation Systems (ITS). ITS aim to integrate new communication technologies within increasingly congested traffic infrastructures. The work carried out in this field leverages technological advancements, particularly in the areas of modeling, identification, and real-time control of urban, interurban, and highway traffic:
• Multimodality
→ Calculating and recommending routes that combine multiple modes of transport (car, tram, bus, train, autonomous shuttles).
→ Considering multiple criteria (time, cost, carbon footprint).
→ Interacting with user interfaces (mobile applications, embedded systems).
• Traffic regulation
→ Predicting future traffic states.
→ Optimizing flow and minimizing congestion.
All our publications can be found here : here
We have focused our efforts on the planning of sustainable logistics. Our expertise in planning is oriented around three key aspects: multi-criteria and multi-objective approaches linked to sustainablity, the consideration of uncertainty due to system imperfections, and collaboration between stakeholders to overcome the limitations of enterprise-centered visions. This expertise is applied across the three levels of planning:
• At the strategic level:
→ Designing sustainable supply chains (network design).
→ Optimizing economic, environmental, and social impacts during the configuration of logistics networks.
→ Locating hubs in both single-actor and multi-actor cases, including the analysis of multiple collaboration scenarios.
→ Positioning buffers within a Demand-Driven MRP (DDMRP) framework.
• At the tactical level:
→ Organizing the sharing of physical resources (transport, warehouses, etc.) and/or informational resources (forecasts, schedules, etc.).
→ Improving the three pillars of sustainable development within a collaborative framework.
→ Sizing resources in hospital emergency services or determining shared capacities between multiple hospitals within the framework of GHT (Groupements Hospitaliers de Territoire).
• At the operational level:
→ Planning vehicle routes while considering environmental impacts (pick-up and delivery tours, maintenance technician routes, home hospitalization visits, carpooling).
→ Scheduling production, maintenance, and distribution operations.
→ Scheduling operations in hospital systems.
→ Using drones and Automated Mobile Robots (AMRs) for logistics tasks (inventory, preparation, loading, unloading, etc.).
2. Intelligent Mobility
Our expertise in this area mainly focuses on traffic flow regulation and smart vehicles, both key components of Intelligent Transportation Systems (ITS). ITS aim to integrate new communication technologies within increasingly congested traffic infrastructures. The work carried out in this field leverages technological advancements, particularly in the areas of modeling, identification, and real-time control of urban, interurban, and highway traffic:
• Multimodality
→ Calculating and recommending routes that combine multiple modes of transport (car, tram, bus, train, autonomous shuttles).
→ Considering multiple criteria (time, cost, carbon footprint).
→ Interacting with user interfaces (mobile applications, embedded systems).
• Traffic regulation
→ Predicting future traffic states.
→ Optimizing flow and minimizing congestion.
All our publications can be found here : here
Collaborations/Partners/Scientific clients
Regional and National Collaborations
The LGI2A (University of Artois) plays a leading role in regional and national dynamics in research and innovation. It is strongly involved in major initiatives such as the CPER programs (RITMEA, CORNEL-IA, TECSANTÉ), the PIA4 programs (MAIA and IFSEA), as well as in scientific networks like the Alliance A2U and the GIS GRAISyHM. These frameworks foster interdisciplinary collaborations, notably with the MIS (UPJV) and LISIC (ULCO) laboratories within A2U, focusing on artificial intelligence and optimization, as well as with CRIStAL (University of Lille and École Centrale de Lille), LAMIH (UPHF), and HEUDIASyC (UTC) on topics such as optimization, information fusion, and control systems applied to logistics and mobility. LGI2A also collaborates with LIX (École Polytechnique) and CRAN (University of Lorraine – Nancy), leading to high-level publications on model-free control, further strengthening its scientific visibility in this cutting-edge field. Moreover, the laboratory is a partner of SFR structures on health and the Campus de la Mer, consolidating its activities in the fields of health and the environment. This partnership strategy, combined with recognized expertise in decision support applied to mobility and logistics, positions LGI2A as a key player addressing scientific and socio-economic challenges in the Hauts-de-France region.
International Collaborations with Foreign Universities
The LGI2A stands out for its international scientific partnerships, which strengthen its visibility and expertise in European projects and Campus France initiatives. These collaborations have resulted in joint supervision and co-supervision of PhD theses, as well as collaborative projects.
In Bulgaria, LGI2A works with the Bulgarian Academy of Sciences on dynamic routing and urban traffic regulation. In Tunisia, strong ties exist with the University of Sfax (on resilient and sustainable supply chains), the École d’Ingénieurs de Tunis (on hospital logistics), and the Institut Supérieur de Gestion de Tunis (on belief functions and hospital planning) through the LARODEC laboratory.
In Morocco, joint PhD supervision involves the École Supérieure des Mines de Rabat (on hazardous materials transportation), the University Ibn Zohr in Agadir (on traffic flow regulation), Mohammed V University (on AI for medical diagnostics), and Sidi Mohamed Ben Abdellah University (on AI for energy optimization).
In Romania, a partnership with Politehnica University of Timisoara focuses on automotive logistics. LGI2A also maintains a high-level collaboration with NATO STO (Italy) on advanced issues related to uncertainty management using the theory of belief functions.
Finally, collaborations with Loughborough University (UK), Wageningen University (Netherlands), and the Universities of Antwerp and Ghent (Belgium) focus on optimizing sustainable supply chains and artificial intelligence.
These initiatives highlight LGI2A’s ability to bring together expertise to address global challenges in sustainable logistics, intelligent mobility, and decision support in complex environments.
The LGI2A (University of Artois) plays a leading role in regional and national dynamics in research and innovation. It is strongly involved in major initiatives such as the CPER programs (RITMEA, CORNEL-IA, TECSANTÉ), the PIA4 programs (MAIA and IFSEA), as well as in scientific networks like the Alliance A2U and the GIS GRAISyHM. These frameworks foster interdisciplinary collaborations, notably with the MIS (UPJV) and LISIC (ULCO) laboratories within A2U, focusing on artificial intelligence and optimization, as well as with CRIStAL (University of Lille and École Centrale de Lille), LAMIH (UPHF), and HEUDIASyC (UTC) on topics such as optimization, information fusion, and control systems applied to logistics and mobility. LGI2A also collaborates with LIX (École Polytechnique) and CRAN (University of Lorraine – Nancy), leading to high-level publications on model-free control, further strengthening its scientific visibility in this cutting-edge field. Moreover, the laboratory is a partner of SFR structures on health and the Campus de la Mer, consolidating its activities in the fields of health and the environment. This partnership strategy, combined with recognized expertise in decision support applied to mobility and logistics, positions LGI2A as a key player addressing scientific and socio-economic challenges in the Hauts-de-France region.
International Collaborations with Foreign Universities
The LGI2A stands out for its international scientific partnerships, which strengthen its visibility and expertise in European projects and Campus France initiatives. These collaborations have resulted in joint supervision and co-supervision of PhD theses, as well as collaborative projects.
In Bulgaria, LGI2A works with the Bulgarian Academy of Sciences on dynamic routing and urban traffic regulation. In Tunisia, strong ties exist with the University of Sfax (on resilient and sustainable supply chains), the École d’Ingénieurs de Tunis (on hospital logistics), and the Institut Supérieur de Gestion de Tunis (on belief functions and hospital planning) through the LARODEC laboratory.
In Morocco, joint PhD supervision involves the École Supérieure des Mines de Rabat (on hazardous materials transportation), the University Ibn Zohr in Agadir (on traffic flow regulation), Mohammed V University (on AI for medical diagnostics), and Sidi Mohamed Ben Abdellah University (on AI for energy optimization).
In Romania, a partnership with Politehnica University of Timisoara focuses on automotive logistics. LGI2A also maintains a high-level collaboration with NATO STO (Italy) on advanced issues related to uncertainty management using the theory of belief functions.
Finally, collaborations with Loughborough University (UK), Wageningen University (Netherlands), and the Universities of Antwerp and Ghent (Belgium) focus on optimizing sustainable supply chains and artificial intelligence.
These initiatives highlight LGI2A’s ability to bring together expertise to address global challenges in sustainable logistics, intelligent mobility, and decision support in complex environments.
Collaborations/Partners/Private Clients
1. LOGISTICS:
LGI2A develops strategic partnerships with major players in the sector to address the challenges of supply chain management and sustainable development:
• CEA Tech Hauts-de-France & Euralogistic Excellence Hub: co-development of a digital twin of the supply chain as part of the SONARIS project (Digital Optimization Solution for Integrated Supply Chain Analysis and Redesign).
• DHL (Interreg IVb SCALE project): management of collaborations within sustainable supply chains in the agri-food sector.
• Transports Bray: support for the digitalization of logistics processes in a sustainable development context.
• INEOS: design of a sustainable supply chain for the collection and recycling of plastic waste (polystyrene).
2. Mobility:
The laboratory is also committed to tackling challenges in intelligent mobility:
• SNCF (CIFRE PhD thesis): research on evidential calibration and classifier fusion, applied to face blurring in surveillance systems to ensure privacy protection.
LGI2A develops strategic partnerships with major players in the sector to address the challenges of supply chain management and sustainable development:
• CEA Tech Hauts-de-France & Euralogistic Excellence Hub: co-development of a digital twin of the supply chain as part of the SONARIS project (Digital Optimization Solution for Integrated Supply Chain Analysis and Redesign).
• DHL (Interreg IVb SCALE project): management of collaborations within sustainable supply chains in the agri-food sector.
• Transports Bray: support for the digitalization of logistics processes in a sustainable development context.
• INEOS: design of a sustainable supply chain for the collection and recycling of plastic waste (polystyrene).
2. Mobility:
The laboratory is also committed to tackling challenges in intelligent mobility:
• SNCF (CIFRE PhD thesis): research on evidential calibration and classifier fusion, applied to face blurring in surveillance systems to ensure privacy protection.
Applications sectors
- Science / Research
Services provided
• Supply chain design and management
• Optimization of vehicle routing
• Road traffic control
• Production Scheduling and planning optimization
• Optimisation of flows in a warehouse
• Hospital logistics optimization
• Decsion making under uncertainty
• Robust control (robots, vehicles, etc.)
• Optimization and command
• Medical diagnosis
• Electrical diagnosic
• Optimization of vehicle routing
• Road traffic control
• Production Scheduling and planning optimization
• Optimisation of flows in a warehouse
• Hospital logistics optimization
• Decsion making under uncertainty
• Robust control (robots, vehicles, etc.)
• Optimization and command
• Medical diagnosis
• Electrical diagnosic
Training offers
• Modeling/Simulation
• Decision Support
• Artificial Intelligence
• Informations fusion
• Optimization and command
• Decision making under uncertainty
• Production management
• Supply chain management
• Sustainable Logistics
• Hospital Logistics
• Planning/Scheduling
• Vehicle routing
• Information systems: ERP-WMS-TMS
• Decision Support
• Artificial Intelligence
• Informations fusion
• Optimization and command
• Decision making under uncertainty
• Production management
• Supply chain management
• Sustainable Logistics
• Hospital Logistics
• Planning/Scheduling
• Vehicle routing
• Information systems: ERP-WMS-TMS
Consulting services
We provide consulting services on all our skills
• Combinatorial optimization software, artificial intelligence tools, simulation platforms, and scientific computing resources.
• Advanced computing cluster with high-performance GPUs.
• RFID installation for traceability.
• Drone systems for logistics inventory management.
• AMRs (Autonomous Mobile Robots) for logistics operations.
Affiliated institutions / organisations
Groups/Networks/Federations
Doctoral schools
Regional strategic areas of activity
- Digital World and Robotics
- Energy and Environment
- Transport and Mobility
- Intelligent and autonomous vehicles
- Intelligent transportation systems