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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)

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See detailMitigating flash crowd effect using connected vehicle technology
Grzybek, Agata UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in Vehicular Communications (2015), 2(4),

A Flash Crowd Effect (FCE) occurs when in the case of non-recurring congestion a large portion of drivers follows similar re-routing advice. Consequently, congestion is transferred from one road to ... [more ▼]

A Flash Crowd Effect (FCE) occurs when in the case of non-recurring congestion a large portion of drivers follows similar re-routing advice. Consequently, congestion is transferred from one road to another. Coping with the FCE is challenging, especially if the congestion results from a temporary loss of capacity (e.g. due to a traffic incident). The existing route guidance systems do not address FCE, as they either do not consider the effects of guidance on the rest of the road network, or predict link travel times based on the number of vehicles travelling on the link, which in the case of the loss of capacity is unreliable. We demonstrate that the FCE can be addressed in a distributed way with Vehicle-to-Vehicle (V2V) communication provided by Connected Vehicle (CV) technology. The proposed in-vehicle TrafficEQ system provides vehicles with mixed route guidance strategy—i.e. a route is autonomously chosen by the vehicle with a probability that is inversely proportional to the latest reported travel time on the route. Real-time travel time information is crowd-sourced by TrafficEQ users. Using realistic simulations of incident-related capacity drops on a classic two-route highway example and a realistic urban road network, we demonstrate that TrafficEQ can address the FCE by reducing travel time oscillations among the alternative routes. The system's drawbacks—in particular the occasional necessity of providing incentives to follow the guidance—are discussed. [less ▲]

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See detailOptimizing communication satellites payload configuration with exact approaches
Stathakis, Apostolos UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in Engineering Optimization (2015), 0(0), 1-26

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See detailPower Allocation in Multibeam Satellite Systems: A Two-Stage Multi-Objective Optimization
Aravanis, Alexis; Shankar, Bhavani UL; Arapoglou, Pantelis-Daniel et al

in IEEE Transactions on Wireless Communications (2015)

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See detailNIDISC Introduction and Committees
Bouvry, Pascal UL; Danoy, Grégoire UL; Seredynski, Franciszek et al

in Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International 2015-10-27 14:21:42 +0000 2015-10-27 14:21:42 +0000 (2015)

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See detailConnectivity Stability in Autonomous Multi-level UAV Swarms for Wide Area Monitoring
Danoy, Grégoire UL; Brust, Matthias R. UL; Bouvry, Pascal UL

in Proceedings of the Fifth ACM International Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications (2015)

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See detailAn NK Landscape Based Model Mimicking the Protein Inverse Folding Problem
Nielsen, Sune Steinbjorn UL; Danoy, Grégoire UL; Talbi, El-Ghazali et al

in 27th European Conference on Operational Research (EURO) (2015)

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See detailA Novel Multi-objectivisation Approach for Optimising the Protein Inverse Folding Problem
Nielsen, Sune Steinbjorn UL; Danoy, Grégoire UL; Jurkowski, Wiktor et al

in Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings (2015)

In biology, the subject of protein structure prediction is of continued interest, not only to chart the molecular map of the living cell, but also to design proteins of new functions. The Inverse Folding ... [more ▼]

In biology, the subject of protein structure prediction is of continued interest, not only to chart the molecular map of the living cell, but also to design proteins of new functions. The Inverse Folding Problem (IFP) is in itself an important research problem, but also at the heart of most rational protein design approaches. In brief, the IFP consists in finding sequences that will fold into a given structure, rather than determining the structure for a given sequence - as in conventional structure prediction. In this work we present a Multi Objective Genetic Algorithm (MOGA) using the diversity-as-objective (DAO) variant of multi-objectivisation, to optimise secondary structure similarity and sequence diversity at the same time, hence pushing the search farther into wide-spread areas of the sequence solution-space. To control the high diversity generated by the DAO approach, we add a novel Quantile Constraint (QC) mechanism to discard an adjustable worst quantile of the population. This DAO-QC approach can efficiently emphasise exploitation rather than exploration to a selectable degree achieving a trade-off producing both better and more diverse sequences than the standard Genetic Algorithm (GA). To validate the final results, a subset of the best sequences was selected for tertiary structure prediction. The super-positioning with the original protein structure demonstrated that meaningful sequences are generated underlining the potential of this work. [less ▲]

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See detailNK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks
Nielsen, Sune Steinbjorn UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (2015)

This paper introduces two new nominal NK Landscape model instances designed to mimic the properties of one challenging optimisation problem from biology: the Inverse Folding Problem (IFP), here focusing ... [more ▼]

This paper introduces two new nominal NK Landscape model instances designed to mimic the properties of one challenging optimisation problem from biology: the Inverse Folding Problem (IFP), here focusing on a simpler secondary structure version. Through landscape analysis tests, numerous problem properties are identified and used to parameterise and validate model instances in terms of epistatic links, adaptive- and random walk characteristics. Then the performance of different Genetic Algorithms (GAs) is compared on both the new NK Models and the original IFP, in terms of population diversity, solution quality and convergence characteristics. It is demonstrated that very similar properties are captured in all presented tests with a significantly faster evaluation time compared to the real IFP. The future purpose of such a model is to provide a generic benchmark for algorithms targeting protein sequence optimisation, specifically in protein design. It may also provide the foundation for more in-depth studies of the size, shape and characteristics of the solution space of good solutions to the IFP. [less ▲]

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See detailMulti-Objective Evolutionary Approach for the Satellite Payload Power Optimization Problem
Kieffer, Emmanuel UL; Stathakis, Apostolos UL; Danoy, Grégoire UL et al

in IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) (2014, December)

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See detailParaMASK: a Multi-Agent System for the Efficient and Dynamic Adaptation of HPC Workloads
Guzek, Mateusz UL; Besseron, Xavier UL; Varrette, Sébastien UL et al

in 14th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2014) (2014, December)

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See detailVisualization and Classification of Protein Secondary Structures using Self-Organizing Maps
Grevisse, Christian UL; Muller, Ian William UL; Jimenez Laredo, Juan Luis UL et al

in IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) (2014, December)

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See detailBi-objective Exact Optimization of Satellite Payload Power Configuration
Kieffer, Emmanuel UL; Stathakis, Apostolos UL; Danoy, Grégoire UL et al

in VIII ALIO/EURO Workshop on Applied Combinatorial Optimization (2014, December)

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See detailBi-objective Optimization of Satellite Payload Power Configuration
Kieffer, Emmanuel UL; Stathakis, Apostolos UL; Danoy, Grégoire UL et al

in International Conference on Metaheuristics and Nature Inspired Computing (META 2014) (2014, October)

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See detailOptimising small-world properties in VANETs: Centralised and distributed overlay approaches
Schleich, Julien UL; Danoy, Grégoire UL; Dorronsoro, Bernabé UL et al

in Applied Soft Computing (2014), 21(0), 637646

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See detailHybridisation Schemes for Communication Satellite Payload Configuration Optimisation
Stathakis, Apostolos; Danoy, Grégoire UL; Talbi, El-Ghazali et al

in 17th European Conference on Applications of Evolutionary Computation (EvoApplications 2014) (2014, April)

Detailed reference viewed: 206 (16 UL)
See detailEvolutionary Algorithms for Mobile Ad Hoc Networks
Dorronsoro, Bernabé UL; Ruiz, Patricia UL; Danoy, Grégoire UL et al

Book published by John Wiley & Sons (2014)

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See detailSpecial issue: Energy-efficiency in large distributed computing architectures
Dorronsoro, Bernabé; Danoy, Grégoire UL; Bouvry, Pascal UL

in Future Generation Comp. Syst. (2014), 36

Detailed reference viewed: 204 (12 UL)