D
David Naso
Researcher at Polytechnic University of Bari
Publications - 185
Citations - 3915
David Naso is an academic researcher from Polytechnic University of Bari. The author has contributed to research in topics: Actuator & Control theory. The author has an hindex of 32, co-authored 179 publications receiving 3350 citations. Previous affiliations of David Naso include Erasmus University Rotterdam & University of Bari.
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Distributed Consensus-Based Economic Dispatch With Transmission Losses
TL;DR: A distributed algorithm is presented to solve the economic power dispatch with transmission line losses and generator constraints based on two consensus algorithms running in parallel using a consensus strategy called consensus on the most up-to-date information.
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Compact Differential Evolution
TL;DR: The proposed compact differential evolution algorithm cDE outperforms other modern compact algorithms and displays a competitive performance with respect to state-of-the-art population-based algorithms employing a DE logic.
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Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete
TL;DR: This paper proposes a novel meta-heuristic approach based on a hybrid genetic algorithm combined with constructive heuristics for ready-mixed concrete delivery of just-in-time production and transportation to distributed customers.
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A Distributed Auction-Based Algorithm for the Nonconvex Economic Dispatch Problem
TL;DR: A distributed algorithm based on auction techniques and consensus protocols to solve the nonconvex economic dispatch problem and the power distribution of generating units is updated and the generation cost is minimized.
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Real-Valued Compact Genetic Algorithms for Embedded Microcontroller Optimization
TL;DR: To overcome some problems related to the binary encoding schemes adopted in most cGAs, a new variant based on a real-valued solution coding is proposed, which achieves final solutions of the same quality as those found by binary cGs, with a significantly reduced computational cost.