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Research paper thumbnail of Parallelization Strategies for Rollout Algorithms

Computational Optimization and Applications, Jun 1, 2005

Rollout algorithms are innovative methods, recently proposed by Bertsekas et al. [3], for solving... more Rollout algorithms are innovative methods, recently proposed by Bertsekas et al. [3], for solving NP-hard combinatorial optimization problems. The main advantage of these approaches is related to their capability of magnifying the effectiveness of any given heuristic algorithm. However, one of the main limitations of rollout algorithms in solving large-scale problems is represented by their computational complexity. Innovative versions of

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Research paper thumbnail of A cooperative parallel rollout algorithm for the sequential ordering problem

Parallel Computing, May 1, 2003

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Research paper thumbnail of A Pilot Algorithm for Large-Scale Nonlinear Network Optmization

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Research paper thumbnail of New Rollout Algorithms for Combinatorial Optimization Problems

Optimization Methods & Software, 2002

Rollout algorithms are new computational approaches used to determine near-optimal solutions for ... more Rollout algorithms are new computational approaches used to determine near-optimal solutions for deterministic and stochastic combinatorial optimization problems. They are built on a generic base heuristic with the aim to construct another hopefully improved heuristic. However, rollout algorithms can be very expensive from the computational point of view, so their use for practical applications can be limited. In this article,

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Research paper thumbnail of A biobjective formulation for filming sport events problem using drones

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Research paper thumbnail of A Transport Protocol for Tracking System Dynamics in Wireless Mesh Networks

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Research paper thumbnail of Metodi euristici per la soluzione dello stochastic dial a ride problem

Dottorato di Ricerca in: Ricerca Operativa, XXIV Ciclo, a.a. 2010-2011

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Research paper thumbnail of A New Distributed and Decentralized Stochastic Optimization Algorithm with Applications in Big Data Analytics

Lecture Notes in Computer Science, 2019

The world is witnessing an unprecedented growth of needs in data analytics. Big Data is distingui... more The world is witnessing an unprecedented growth of needs in data analytics. Big Data is distinguished by its three main characteristics: velocity, variety and volume. An open issue and challenge faced by the data community is how to scale up analytic algorithms. To address this issue, optimization of large scale data sets has attracted many researchers in recent years. In this paper, we first present the most recent advances in optimization of Big Data analytics. Further, we introduce a fully distributed stochastic optimization algorithm for decision making over large scale data sets. We also propose the optimal weight design for the proposed algorithm and study its performance by considering a practical application in cognitive networks. Experimental results confirm that the proposed method performs well, proven to be distributed, scalable and robust to missing data and communication failures.

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Research paper thumbnail of 3D Trajectory Optimization for Multimission UAVs in Smart City Scenarios

IEEE Transactions on Mobile Computing

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Research paper thumbnail of A Two-stage Stochastic Programming Model for the Resource Constrained Project Scheduling Problem under Uncertainty

Proceedings of the 7th International Conference on Operations Research and Enterprise Systems

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Research paper thumbnail of The robust resource constrained project scheduling

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Research paper thumbnail of Heuristic procedures for probabilistic project scheduling

In this paper we analyze the resource-constrained project scheduling problem under uncertainty. P... more In this paper we analyze the resource-constrained project scheduling problem under uncertainty. Project activities are assumed to have known deterministic renewable resource requirements and probabilistic activity durations described by random variables with a given density function. We develop heuristic algorithms for building a schedule with protected starting times, obtained using a buffering mechanism guided by probabilistic information.

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Research paper thumbnail of Download and Fly: An Online Solution for the UAV 3D Trajectory Planning Problem in Smart Cities

Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2019

Unmanned Aerial Vehicles (UAVs) represent an important asset in the increasing automation require... more Unmanned Aerial Vehicles (UAVs) represent an important asset in the increasing automation required in Smart Cities. However, their short flight autonomy and limited computational resources raise a set of issues to unravel for their full exploitation. In this paper, some of these issues are addressed by leveraging the deployment of Training and Recharging Areas (TRA) in the Smart City. While moving among different Mission Areas (MA), the UAVs pass through dedicated TRA, where Energy and Data Dispensers (EDD) are scattered to allow UAV battery recharge and software update. The tridimensional trajectory planning problem to let the UAVs efficiently and swiftly move through the EDDs, towards the exit of the TRA, is investigated. A mathematical formulation of the problem is presented, and an online approach is designed to achieve a feasible implementation in a realistic scenario.

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Research paper thumbnail of Models and Policies for Service Industries via Revenue Management

Dottorato di Ricerca in: Ricerca Operativa, XXIV Ciclo, a.a. 2008-2011

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Research paper thumbnail of Using drones for parcels delivery process

Procedia Manufacturing, 2020

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Research paper thumbnail of Drone-aided routing: A literature review

Transportation Research Part C: Emerging Technologies, 2020

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Research paper thumbnail of Take the Field from your Smartphone: Leveraging UAVs for Event Filming

IEEE Transactions on Mobile Computing, 2019

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Research paper thumbnail of A computational study of exact approaches for the adjustable robust resource-constrained project scheduling problem

Computers & Operations Research, 2018

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Research paper thumbnail of A pick-up and delivery problem with time windows by electric vehicles

International Journal of Productivity and Quality Management, 2016

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Research paper thumbnail of Neural networks and SDR modulation schemes for wireless mobile nodes: A synergic approach

Ad Hoc Networks, 2017

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Research paper thumbnail of Parallelization Strategies for Rollout Algorithms

Computational Optimization and Applications, Jun 1, 2005

Rollout algorithms are innovative methods, recently proposed by Bertsekas et al. [3], for solving... more Rollout algorithms are innovative methods, recently proposed by Bertsekas et al. [3], for solving NP-hard combinatorial optimization problems. The main advantage of these approaches is related to their capability of magnifying the effectiveness of any given heuristic algorithm. However, one of the main limitations of rollout algorithms in solving large-scale problems is represented by their computational complexity. Innovative versions of

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Research paper thumbnail of A cooperative parallel rollout algorithm for the sequential ordering problem

Parallel Computing, May 1, 2003

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Research paper thumbnail of A Pilot Algorithm for Large-Scale Nonlinear Network Optmization

Bookmarks Related papers MentionsView impact

Research paper thumbnail of New Rollout Algorithms for Combinatorial Optimization Problems

Optimization Methods & Software, 2002

Rollout algorithms are new computational approaches used to determine near-optimal solutions for ... more Rollout algorithms are new computational approaches used to determine near-optimal solutions for deterministic and stochastic combinatorial optimization problems. They are built on a generic base heuristic with the aim to construct another hopefully improved heuristic. However, rollout algorithms can be very expensive from the computational point of view, so their use for practical applications can be limited. In this article,

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Research paper thumbnail of A biobjective formulation for filming sport events problem using drones

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Research paper thumbnail of A Transport Protocol for Tracking System Dynamics in Wireless Mesh Networks

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Research paper thumbnail of Metodi euristici per la soluzione dello stochastic dial a ride problem

Dottorato di Ricerca in: Ricerca Operativa, XXIV Ciclo, a.a. 2010-2011

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Research paper thumbnail of A New Distributed and Decentralized Stochastic Optimization Algorithm with Applications in Big Data Analytics

Lecture Notes in Computer Science, 2019

The world is witnessing an unprecedented growth of needs in data analytics. Big Data is distingui... more The world is witnessing an unprecedented growth of needs in data analytics. Big Data is distinguished by its three main characteristics: velocity, variety and volume. An open issue and challenge faced by the data community is how to scale up analytic algorithms. To address this issue, optimization of large scale data sets has attracted many researchers in recent years. In this paper, we first present the most recent advances in optimization of Big Data analytics. Further, we introduce a fully distributed stochastic optimization algorithm for decision making over large scale data sets. We also propose the optimal weight design for the proposed algorithm and study its performance by considering a practical application in cognitive networks. Experimental results confirm that the proposed method performs well, proven to be distributed, scalable and robust to missing data and communication failures.

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Research paper thumbnail of 3D Trajectory Optimization for Multimission UAVs in Smart City Scenarios

IEEE Transactions on Mobile Computing

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Research paper thumbnail of A Two-stage Stochastic Programming Model for the Resource Constrained Project Scheduling Problem under Uncertainty

Proceedings of the 7th International Conference on Operations Research and Enterprise Systems

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Research paper thumbnail of The robust resource constrained project scheduling

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Research paper thumbnail of Heuristic procedures for probabilistic project scheduling

In this paper we analyze the resource-constrained project scheduling problem under uncertainty. P... more In this paper we analyze the resource-constrained project scheduling problem under uncertainty. Project activities are assumed to have known deterministic renewable resource requirements and probabilistic activity durations described by random variables with a given density function. We develop heuristic algorithms for building a schedule with protected starting times, obtained using a buffering mechanism guided by probabilistic information.

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Research paper thumbnail of Download and Fly: An Online Solution for the UAV 3D Trajectory Planning Problem in Smart Cities

Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2019

Unmanned Aerial Vehicles (UAVs) represent an important asset in the increasing automation require... more Unmanned Aerial Vehicles (UAVs) represent an important asset in the increasing automation required in Smart Cities. However, their short flight autonomy and limited computational resources raise a set of issues to unravel for their full exploitation. In this paper, some of these issues are addressed by leveraging the deployment of Training and Recharging Areas (TRA) in the Smart City. While moving among different Mission Areas (MA), the UAVs pass through dedicated TRA, where Energy and Data Dispensers (EDD) are scattered to allow UAV battery recharge and software update. The tridimensional trajectory planning problem to let the UAVs efficiently and swiftly move through the EDDs, towards the exit of the TRA, is investigated. A mathematical formulation of the problem is presented, and an online approach is designed to achieve a feasible implementation in a realistic scenario.

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Research paper thumbnail of Models and Policies for Service Industries via Revenue Management

Dottorato di Ricerca in: Ricerca Operativa, XXIV Ciclo, a.a. 2008-2011

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Research paper thumbnail of Using drones for parcels delivery process

Procedia Manufacturing, 2020

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Research paper thumbnail of Drone-aided routing: A literature review

Transportation Research Part C: Emerging Technologies, 2020

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Research paper thumbnail of Take the Field from your Smartphone: Leveraging UAVs for Event Filming

IEEE Transactions on Mobile Computing, 2019

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Research paper thumbnail of A computational study of exact approaches for the adjustable robust resource-constrained project scheduling problem

Computers & Operations Research, 2018

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Research paper thumbnail of A pick-up and delivery problem with time windows by electric vehicles

International Journal of Productivity and Quality Management, 2016

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Research paper thumbnail of Neural networks and SDR modulation schemes for wireless mobile nodes: A synergic approach

Ad Hoc Networks, 2017

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Research paper thumbnail of Optimization models for determining performance benchmarks in wireless sensor networks

Proceedings of Third …

In this paper we propose some “innovative” optimization models for Wireless Sensor Networks. The ... more In this paper we propose some “innovative” optimization models for Wireless Sensor Networks. The models are chosen depending on the task the network is called to execute and they focus on the optimization of some specific performance objectives. Indeed, starting from a generic configuration, the optimal solution defines a specific sensors displacement, which allows the network to achieve high performance, in terms of energy consumption and travelled distance. Controlled mobility of the nodes is used for reaching the wanted displacement. The behaviour of the proposed models has been evaluated in comparison with a distributed algorithm on the basis of an extensive computational study and by considering different scenarios.

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