References of "Danoy, Grégoire 50001463"
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See detailImpact du mécanisme chaotique sur l’optimisation d’un modèle de mobilité pour un essaim de drones devant réaliser une couverture de zone
Rosalie, Martin UL; Danoy, Grégoire UL; Chaumette, Serge et al

in Falcon, Eric; Lefranc, Marc; Pétrélis, François (Eds.) et al Comptes-rendus de la 20e Rencontre du Non Linéaire (2017, March)

Solution of differential equations system can be chaotic attractors with various chaotic mechanisms. In this paper we highlight that the use of these chaotic mechanisms permits to enhance the ... [more ▼]

Solution of differential equations system can be chaotic attractors with various chaotic mechanisms. In this paper we highlight that the use of these chaotic mechanisms permits to enhance the diversification of metaheuristics. We applied our approach to the coverage problem using a swarm of UAVs where the diversification of an ant colony algorithm is enhanced by chaos coming from Ma system and Rössler system. [less ▲]

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See detailA new modeling approach for the biobjective exact optimization of satellite payload configuration
Kieffer, Emmanuel UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in International Transactions in Operational Research (2017)

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See detailDefending Against Intrusion of Malicious UAVs with Networked UAV Defense Swarms
Brust, Matthias R. UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in 42nd IEEE Conference on Local Computer Networks (2017)

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See detailTarget Tracking Optimization of UAV Swarms Based on Dual-Pheromone Clustering
Brust, Matthias R. UL; Zurad, Maciej UL; Hentges, Laurent Philippe UL et al

in CYBCONF 2017-12-13 09:39:53 +0000 2017-12-13 09:39:53 +0000 (2017)

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See detailBayesian Optimization Approach of General Bi-level Problems
Kieffer, Emmanuel UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in Proceedings of the Genetic and Evolutionary Computation Conference Companion (2017)

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See detailProceedings of the 8th IEEE International Conference on Cloud Computing Technology and Science (ClouCom 2016)
Varrette, Sébastien UL; Bouvry, Pascal UL; Zomaya, Albert et al

Book published by IEEE Computer Society (2016)

CloudCom is the premier conference on Cloud Computing worldwide, attracting researchers, developers, users, students and practitioners from the fields of big data, systems architecture, services research ... [more ▼]

CloudCom is the premier conference on Cloud Computing worldwide, attracting researchers, developers, users, students and practitioners from the fields of big data, systems architecture, services research, virtualization, security and privacy, high performance computing, always with an emphasis on how to build cloud computing platforms with real impact. The conference is co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE), is steered by the Cloud Computing Association, and draws on the excellence of its world-class Program Committee and its participants. The 8th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2016) was held in the city of Luxembourg on 12-15 December 2016 [less ▲]

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See detailFrom Random Process to Chaotic Behavior in Swarms of UAVs
Rosalie, Martin UL; Danoy, Grégoire UL; Chaumette, Serge et al

in DIVANet '16 Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications (2016, November)

Unmanned Aerial Vehicles (UAVs) applications have seen an important increase in the last decade for both military and civilian applications ranging from fire and high seas rescue to military surveillance ... [more ▼]

Unmanned Aerial Vehicles (UAVs) applications have seen an important increase in the last decade for both military and civilian applications ranging from fire and high seas rescue to military surveillance and target detection. While this technology is now mature for a single UAV, new methods are needed to operate UAVs in swarms, also referred to as fleets. This work focuses on the mobility management of one single autonomous swarm of UAVs which mission is to cover a given area in order to collect information. Several constraints are applied to the swarm to solve this problem due to the military context. First, the UAVs mobility must be as unpredictable as possible to prevent any UAV tracking. However the Ground Control Station (GCS) operator(s) still needs to be able to forecast the UAVs paths. Finally, the UAVs are autonomous in order to guarantee the mission continuity in a hostile environment and the method must be distributed to ensure fault-tolerance of the system. To solve this problem, we introduce the Chaotic Ant Colony Optimization to Coverage (CACOC) algorithm that combines an Ant Colony Optimization approach (ACO) with a chaotic dynamical system. CACOC permits to obtain a deterministic but unpredictable system. Its performance is compared to other state-of-the art models from the literature using several coverage-related metrics, i.e. coverage rate, recent coverage and fairness. Numerical results obtained by simulation underline the performance of our CACOC method: a deterministic method with unpredictable UAV trajectories that still ensures a high area coverage. [less ▲]

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See detailMetaheuristic Based Clustering Algorithms for Biological Hypergraphs
Changaival, Boonyarit UL; Danoy, Grégoire UL; Ostaszewski, Marek UL et al

in Proceedings of META’2016, 6th International Conference on Metaheuristics and Nature Inspired computing (2016, October 27)

Hypergraphs are widely used for modeling and representing relationships between entities, one such field where their application is prolific is in bioinformatics. In the present era of big data, sizes and ... [more ▼]

Hypergraphs are widely used for modeling and representing relationships between entities, one such field where their application is prolific is in bioinformatics. In the present era of big data, sizes and complexity of these hypergraphs grow exponentially, it is impossible to process them manually or even visualize their interconnectivity superficially. A common approach to tackle their complexity is to cluster similar data nodes together in order to create a more comprehensible representation. This enables similarity discovery and hence, extract hidden knowledge within the hypergraphs. Several state-of-the-art algorithms have been proposed for partitioning and clustering of hypergraphs. Nevertheless, several issues remain unanswered, improvement to existing algorithms are possible, especially in scalability and clustering quality. This article presents a concise survey on hypergraph-clustering algorithms with the emphasis on knowledge-representation in systems biomedicine. It also suggests a novel approach to clustering quality by means of cluster-quality metrics which combines expert knowledge and measurable objective distances in existing biological ontology. [less ▲]

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See detailCo-evolutionary approach based on constraint decomposition
Kieffer, Emmanuel UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in Co-evolutionary approach based on constraint decomposition (2016, October)

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See detailUsing Heterogeneous Multilevel Swarms of UAVs and High-Level Data Fusion to Support Situation Management in Surveillance Scenarios
Bouvry, Pascal UL; Chaumette, Serge; Danoy, Grégoire UL et al

in 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 (2016, September 19)

The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. This technology is also now of high interest in non-military contexts like ... [more ▼]

The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. This technology is also now of high interest in non-military contexts like logistics, environmental studies and different areas of civil protection. While the technology for operating a single UAV is rather mature, additional efforts are still necessary for using UAVs in fleets (or swarms). The Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques (ASIMUT) project which is supported by the European Defence Agency (EDA) aims at investigating and demonstrating dedicated surveillance services based on fleets of UAVs. The aim is to enhance the situation awareness of an operator and to decrease his workload by providing support for the detection of threats based on multi-sensor multi-source data fusion. The operator is also supported by the combination of information delivered by the heterogeneous swarms of UAVs and by additional information extracted from intelligence databases. As a result, a distributed surveillance system increasing detection, high-level data fusion capabilities and UAV autonomy is proposed. [less ▲]

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See detailA Parallel Cooperative Coevolutionary SMPSO Algorithm for Multi-objective Optimization
Atashpendar, Arash UL; Dorronsoro, Bernabé; Danoy, Grégoire UL et al

in IEEE International Conference on High Performance Computing Simulation (HPCS) (2016, July)

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See detailOn Bi-level approach for Scheduling problems
Kieffer, Emmanuel UL; Danoy, Grégoire UL; Bouvry, Pascal UL

Scientific Conference (2016, April)

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See detailA Novel Co-evolutionary Approach for Constrained Genetic Algorithms
Kieffer, Emmanuel UL; Guzek, Mateusz UL; Danoy, Grégoire UL et al

in Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (2016)

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See detailUAV Multilevel Swarms for Situation Management
Rosalie, Martin UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in Proceedings of the 2Nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use (2016)

The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. Nowadays, this type of technology is used in non-military contexts mainly ... [more ▼]

The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. Nowadays, this type of technology is used in non-military contexts mainly for civil and environment protection: search & rescue teams, fire fighters, police officers, environmental scientific studies, etc. Although the technology for operating a single UAV is now mature, additional efforts are still necessary for using UAVs in fleets (or swarms). This position paper presents the ASIMUT project (Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques). The challenges of this project consist of handling several fleets of UAVs (swarms) including communication, networking and positioning aspects. This motivates the development of novel multilevel cooperation algorithms which is an area that has not been widely explored, especially when autonomy is an additional challenge. Moreover, we will provide techniques to optimize communications for multilevel swarms. Finally, we will develop distributed and localized mobility management algorithms that will cope with conflicting objectives such as connectivity maintenance and geographical area coverage. [less ▲]

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See detailTackling the IFP Problem with the Preference-Based Genetic Algorithm
Nielsen, Sune Steinbjorn UL; Ferreira Torres, Christof UL; Danoy, Grégoire UL et al

in Proceedings of the Genetic and Evolutionary Computation Conference 2016 (2016)

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See detailUAV Fleet Mobility Model with Multiple Pheromones for Tracking Moving Observation Targets
Atten, Christophe UL; Chanouf, Loubna; Danoy, Grégoire UL et al

in 19th European Conference on Applications of Evolutionary Computation (EvoApplications) (2016)

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See detailForeword
Danoy, Grégoire UL; Jourdan, Laetitia; Talbi, El-Ghazali et al

in International (2016)

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See detailHybrid mobility model with pheromones for UAV detection task
Kieffer, Emmanuel UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in Hybrid mobility model with pheromones for UAV detection task (2016)

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See detailPreference-Based Genetic Algorithm for Solving the Bio-Inspired NK Landscape Benchmark
Ferreira Torres, Christof UL; Nielsen, Sune Steinbjorn UL; Danoy, Grégoire UL et al

in 7th European Symposium on Computational Intelligence and Mathematics (ESCIM) (2015, October)

Detailed reference viewed: 122 (25 UL)