Recent Submissions

  • A simple Bayesian linear excess relative risk model 

    Higueras M.; Harbron R.W.; Pearce M.S. (2017-07-11)
    A new Bayesian Poisson relative risk model is proposed for displaying the excess relative risk associated to a unique exposure as a probability distribution in a closed form. The background risk can be modelled by a unique ...
  • Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis 

    Villar-Rodriguez E.; Del Ser J.; Oregi I.; Bilbao M. N.; Gil-Lopez S. (Energy, 2017-06)
    The advent and progressive deployment of the so-called Smart Grid has unleashed a profitable portfolio of new possibilities for an efficient management of the low-voltage distribution network supported by the introduction ...
  • The weighted independent domination problem: ILP model and algorithmic approaches 

    Davidson P.P.; Blum C.; Lozano J.A. (Lecture Notes in Computer Science, 2017-06-01)
    This work deals with the so-called weighted independent domination problem, which is an N P -hard combinatorial optimization problem in graphs. In contrast to previous theoretical work from the liter- ature, this paper ...
  • Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission 

    Shirazi A.; Ceberio J.; Lozano J.A. (IEEE Congress on Evolutionary Computation, 2017-06-06)
    In space environment, perturbations make the spacecraft lose its predefined orbit in space. One of these undesirable changes is the in-plane rotation of space orbit, denominated as orbital precession. To overcome this ...
  • Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model 

    Velazco J.G.; Rodríguez-Álvarez M.X.; Boer M.P.; Jordan D.R.; Eilers P.H.C.; Malosetti M.; van Eeuwijk F. (Theoretical and Applied Genetics, 2017-04-03)
    Adjustment for spatial trends in plant breeding field trials is essential for efficient evaluation and selection of genotypes. Current mixed model methods of spatial analysis are based on a multi-step modelling process ...
  • Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies 

    Barrio I.; Rodríguez-Álvarez M.X.; Meira-Machado L.; Esteban C.; Arostegui I. (SORT (Statistics and Operations Research Transactions), 2017-04)
    The Cox proportional hazards model is the most widely used survival prediction model for analysing timeto-event data. To measure the discrimination ability of a survival model the concordance probability index is widely ...
  • An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study 

    Castro O.R.; Pozo A.; Lozano J.A.; Santana R. (Swarm Intelligence, 2017-03-30)
    A variety of general strategies have been applied to enhance the performance of multi-objective optimization algorithms for many-objective optimization problems (those with more than three objectives). One of these strategies ...
  • Effect of trampling and digging from shell shing on Zostera noltei (Zosteraceae) intertidal seagrass beds 

    Garmendia JM.; Valle M.; Borja A.; Chust G.; Lee D.-J.; Rodríguez JG.; Franco J. (Scientia Marina, 2017-03)
    Seagrass beds are among the most valuable ecosystems in the world but they are also among the ones most affected by human activities, and they have decreased significantly in recent decades. In many areas, such as in the ...
  • Opportunistic schedulers for optimal scheduling of flows in wireless systems with ARQ feedback 

    Jacko P.; Villar S.S. (Final Program - 2012 24th International Teletraffic Congress, ITC 24, 2012-12-31)
    In this paper we study three opportunistic schedulers for the problem of optimal multi-class flow-level scheduling in wireless downlink and uplink systems. For user channels we employ the Gilbert-Elliot model of good and ...
  • Optimal anticipative congestion control of flows with time-varying input stream 

    Jacko P.; Sansò B. (Performance Evaluation, 2012-12-31)
    This paper is concerned with a new type of congestion control method that we call anticipative congestion control, which exploits probabilistic information available at a network node about congestion at other nodes. ...
  • The price of forgetting in parallel and non-observable queues 

    Anselmi J.; Gaujal B. (Performance Evaluation, 2011-12-31)
    We consider a broker-based network of non-observable parallel queues and analyze the minimum expected response time and the optimal routing policy when the broker has the memory of its previous routing decisions. We provide ...
  • CCN interest forwarding strategy as Multi-Armed Bandit model with delays 

    Avrachenkov K.; Jacko P. (NetGCoop 2012 - 6th International Conference on Network Games, Control and Optimization, 2012-12-31)
    We consider Content Centric Network (CCN) interest forwarding problem as a Multi-Armed Bandit (MAB) problem with delays. We investigate the transient behaviour of the ε-greedy, tuned ε-greedy and Upper Confidence Bound ...
  • Closed queueing networks under congestion: Nonbottleneck independence and bottleneck convergence 

    Anselmi J.; D'Auria B.; Walton N. (Mathematics of Operations Research, 2013-12-31)
    We analyze the behavior of closed multiclass product-form queueing networks when the number of customers grows to infinity and remains proportionate on each route (or class). First, we focus on the stationary behavior and ...
  • Heavy-traffic revenue maximization in parallel multiclass queues 

    Anselmi J.; Casale G. (Performance Evaluation, 2013-12-31)
    Motivated by revenue maximization in server farms with admission control, we investigate the optimal scheduling in parallel processor-sharing queues. Incoming customers are distinguished in multiple classes and we define ...
  • On the Gittins index in the M/G/1 queue 

    Aalto S.; Ayesta U.; Righter R. (Queueing Systems, 2009-12-31)
    For an M/G/1 queue with the objective of minimizing the mean number of jobs in the system, the Gittins index rule is known to be optimal among the set of non-anticipating policies. We develop properties of the Gittins ...
  • Optimal congestion control of TCP flows for internet routers 

    Avrachenkov K.; Ayesta U.; Doncel J.; Jacko P. (Performance Evaluation Review, 2012-12-31)
    In this work we address the problem of fast and fair transmission of flows in a router, which is a fundamental issue in networks like the Internet. We model the interaction between a TCP source and a bottleneck queue with ...
  • Optimal policy for multi-class scheduling in a single server queue 

    Osipova N.; Ayesta U.; Avrachenkov K. (21st International Teletraffic Congress, ITC 21: Traffic and Performance Issues in Networks of the Future - Final Programme, 2009-12-31)
    In this paper we apply the Gittins optimality result to characterize the optimal scheduling discipline in a multi-class M/G/1 queue. We apply the general result to several cases of practical interest where the service time ...
  • Price of anarchy in non-cooperative load balancing games 

    Ayesta U.; Brun O.; Prabhu B.J. (Performance Evaluation, 2011-12-31)
    We investigate the price of anarchy of a load balancing game with K dispatchers. The service rates and holding costs are assumed to depend on the server, and the service discipline is assumed to be processor-sharing at ...
  • Competition yields efficiency in load balancing games 

    Anselmi J.; Ayesta U.; Wierman A. (Performance Evaluation, 2011-12-31)
    We study a nonatomic congestion game with N parallel links, with each link under the control of a profit maximizing provider. Within this 'load balancing game', each provider has the freedom to set a price, or toll, for ...
  • Properties of the gittins index with application to optimal scheduling 

    Aalto S.; Ayesta U.; Righter R. (Probability in the Engineering and Informational Sciences, 2011-12-31)
    We consider the optimal scheduling problem for a single-server queue without arrivals. We allow preemptions, and our purpose is to minimize the expected flow time. The optimal nonanticipating discipline is known to be the ...

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