Search Results - "Coelho, Vitor N."
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Challenges of PBFT-Inspired Consensus for Blockchain and Enhancements over Neo dBFT
Published in Future internet (01-08-2020)“…Consensus mechanisms are a core feature for handling negotiation and agreements. Blockchain technology has seen the introduction of different sorts of…”
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Mobility, Citizens, Innovation and Technology in Digital and Smart Cities
Published in Future internet (01-02-2020)“…Cities are constantly transforming and, consequently, attracting efforts from researchers and opportunities to the industry. New transportation systems are…”
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Smart Accounts for Decentralized Governance on Smart Cities
Published in Smart cities (Basel) (01-06-2021)“…This paper introduces state-of-the-art possibilities for using smart contracts capabilities for governance. Assisted by blockchain, the use of these tools can…”
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Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids
Published in Applied energy (01-02-2017)“…•Overview of multi-agent approach for smart-microgrid energy management and operation.•Different state-of-the-art microgrid sub-problems tackled by MAS are…”
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A multi-objective green UAV routing problem
Published in Computers & operations research (01-12-2017)“…•Introduce a new time-dependent UAV heterogeneous fleet routing problem.•Consider several objective functions and respect drones operational…”
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Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid
Published in Renewable energy (01-04-2016)“…This paper describes a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units. We formulate the energy storage…”
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A communitarian microgrid storage planning system inside the scope of a smart city
Published in Applied energy (01-09-2017)“…•Energy scheduling in mini/microgrids systems considering plug-in electric vehicles and drones.•Sets of non-dominated solutions opening possibilities for smart…”
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Bi‐criteria formulation for green scheduling with unrelated parallel machines with sequence‐dependent setup times
Published in International transactions in operational research (01-03-2021)“…Given the important role of machine scheduling in manufacturing industry, we discuss power consumption in sequencing jobs in a scheduling problem, assuming…”
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Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign
Published in Computers & operations research (01-02-2017)“…Cross-selling campaigns seek to offer the right products to the set of customers with the goal of maximizing expected profit, while, at the same time,…”
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Exploring parallel multi-GPU local search strategies in a metaheuristic framework
Published in Journal of parallel and distributed computing (01-01-2018)“…Optimization tasks are often complex, CPU-time consuming and usually deal with finding the best (or good enough) solution among alternatives for a given…”
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A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment
Published in Applied energy (01-05-2016)“…•Novel hybrid self-adaptive forecasting model optimized using meta-heuristics.•Real-time parameter optimization during the learning process.•GRASP solution…”
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Finding the Maximum Multi Improvement on neighborhood exploration
Published in Optimization letters (2022)“…Neighborhood search techniques are often employed to deal with combinatorial optimization problems. Previous works got good results in applying a novel…”
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13
Calibration of a type 2 controller applied to a buck converter: a multi-objective analysis
Published in Electronic notes in discrete mathematics (01-04-2018)“…Control lops are nowadays everywhere, from tiny devices to robust industrial applications. However, even when only few parameters are being dealt, manually…”
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A two-phase multi-objective metaheuristic for a green UAV grid routing problem
Published in Optimization letters (01-12-2023)“…This paper deals with Unmanned Aerial Vehicle (UAV) routing in dynamic grid scenarios with limited battery autonomy and multiple charging stations. Inspired by…”
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A GPU deep learning metaheuristic based model for time series forecasting
Published in Applied energy (01-09-2017)“…•A CPU-GPU mechanism is proposed in order to accelerate time series learning.•Disaggregated household energy demand forecasting is used as case of…”
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A hybrid evolutionary probabilistic forecasting model applied for rainfall and wind power forecast
Published in 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) (01-05-2016)“…Several works in the literature so far have been focused on deterministic point forecasts, which, usually, indicates the conditional mean of future…”
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Conference Proceeding -
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Learning music time series with a parallel hybrid forecasting model calibrated with Reduced VNS
Published in Electronic notes in discrete mathematics (01-04-2018)“…This paper focus on the learning of music time series. In this context, from compressed digital audio files, we sought to verify how a song can be learned,…”
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A performance study on multi improvement neighborhood search strategy
Published in Electronic notes in discrete mathematics (01-04-2017)“…Among the methods to deal with optimization tasks, parallel metaheuristics have been used in many real-world and scientific applications to efficiently solve…”
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Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems
Published in Evolutionary computation (01-12-2016)“…This article presents an Evolution Strategy (ES)--based algorithm, designed to self-adapt its mutation operators, guiding the search into the solution space…”
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A VNS approach for book marketing campaigns generated with quasi-bicliques probabilities
Published in Electronic notes in discrete mathematics (01-04-2017)“…This paper focuses on Book Marketing Campaigns, where the benefit of offering each book is calculated based on a bipartite graph (biclique). A quasi Biclique…”
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