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   Articles with "decomposition based" as a keyword



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A tensor decomposition based collaborative filtering algorithm for time-aware POI recommendation in LBSN

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recommendations! Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-021-11407-9

Abstract: Point of interest (POI) recommendation problem in location based social network (LBSN) is of great importance and the challenge lies in the data sparsity, implicit user feedback and personalized preference. To improve the precision of… read more here.

Keywords: tensor decomposition; recommendation; poi recommendation; decomposition based ... See more keywords
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A decomposition based multiobjective evolutionary algorithm with self-adaptive mating restriction strategy

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recommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-018-00919-w

Abstract: MOEA/D decomposes the multiobjective optimization problem into a number of subproblems. However, one subproblem’s requirement for exploitation and exploration varies with the evolutionary process. Furthermore, different subproblems’ requirements for exploitation and exploration are also different… read more here.

Keywords: multiobjective evolutionary; decomposition based; restriction; based multiobjective ... See more keywords
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Determining layout of a wind farm with optimal number of turbines: A decomposition based approach

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recommendations! Published in 2018 at "Journal of Cleaner Production"

DOI: 10.1016/j.jclepro.2018.08.093

Abstract: Abstract A novel suite of algorithms, exploiting the concept of Space And Variable decomposition based Evolutionary (SAVE) formulations, has been proposed while addressing the wind farm micro-siting. The efficacies of these algorithms are further enhanced… read more here.

Keywords: decomposition based; decomposition; wind farm; power ... See more keywords
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A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary

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recommendations! Published in 2019 at "Measurement"

DOI: 10.1016/j.measurement.2019.106934

Abstract: Abstract Sparse decomposition based on complete dictionary can effectively extract impulse features from weak fault signals. However, compared with the over-complete dictionary, the complete dictionary no longer has redundancy features, and its robustness is reduced,… read more here.

Keywords: method; decomposition based; complete dictionary; adaptive complete ... See more keywords
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A decomposition-based binary ACO algorithm for the multiobjective UBQP

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.09.122

Abstract: The multiobjective unconstrained binary quadratic programming (mUBQP) is a combinatorial optimization problem which is able to represent several multiobjective optimization problems (MOPs). The problem can be characterized by the number of variables, the number of… read more here.

Keywords: framework; decomposition based; algorithm multiobjective; aco algorithm ... See more keywords
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Biomass feedstock supply chain design – a taxonomic review and a decomposition-based methodology

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recommendations! Published in 2018 at "International Journal of Production Research"

DOI: 10.1080/00207543.2018.1475766

Abstract: In this paper, we present a taxonomic review of the literature devoted to the use of operations research approaches for the design and operation of biomass feedstock supply chains (BFSCs). A total of 185 publications… read more here.

Keywords: methodology; feedstock supply; taxonomic review; decomposition based ... See more keywords
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A Survey of Decomposition Based Evolutionary Algorithms for Many-Objective Optimization Problems

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3188762

Abstract: The framework of decomposition-based multi-objective evolutionary algorithms(MOEA/D) has evolved for more than ten years, and it has become irreplaceable tool for solving multi-objective optimization problems. In recent years, many scholars have investigated improved strategies from… read more here.

Keywords: survey; decomposition based; decomposition; objective optimization ... See more keywords
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A Comprehensive Decomposition Based Hierarchical Heuristic Control of Multimicrogrids

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3230283

Abstract: This paper proposes a novel decomposition based hierarchical heuristic control of multimicrogrids to maximize the utilization of renewable energy sources and load satisfaction. The proposed control is capable of providing comprehensive online dispatch of active… read more here.

Keywords: control multimicrogrids; hierarchical heuristic; control; decomposition based ... See more keywords
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Hybrid Matrix-Decomposition-Based Fast Direct Solver of Integral Equations

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recommendations! Published in 2021 at "IEEE Transactions on Antennas and Propagation"

DOI: 10.1109/tap.2021.3076351

Abstract: Our numerical experiments show that the hierarchical matrix (H-matrix) solver is more efficient than the butterfly solver for electrically small problems, although the converse is true for sufficiently large problems. In this communication, we propose… read more here.

Keywords: decomposition; matrix; matrix decomposition; decomposition based ... See more keywords
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Tensor Decomposition-Based Channel Estimation for Hybrid mmWave Massive MIMO in High-Mobility Scenarios

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recommendations! Published in 2022 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2022.3187780

Abstract: Massive multiple-input multiple-output (MIMO) integrated with millimeter-wave (mmWave) can provide unprecedented performance improvement for realizing future wireless communications. However, acquiring accurate channel state information in wideband mmWave massive MIMO systems with hybrid transceiver architectures is… read more here.

Keywords: mimo; decomposition based; decomposition; massive mimo ... See more keywords
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WHT and Matrix Decomposition-Based Approximated IDCT Architecture for HEVC

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recommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2018.2874071

Abstract: This brief proposes a new model of inverse discrete cosine transform (IDCT) kernel for high efficiency video coding (HEVC). The kernel supports IDCT of order 4, 8, 16, and 32. The proposed architecture uses the… read more here.

Keywords: idct architecture; matrix decomposition; architecture; decomposition based ... See more keywords