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581
Novel hybrid informational model for predicting the creep and shrinkage deflection of reinforced concrete beams containing GGBFS
منشور في 2022"…A hybrid artificial neural network coupled with a metaheuristic Whale optimization algorithm has been developed to estimate the overall deflection of concrete beams due to creep and shrinkage. …"
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582
Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment
منشور في 2022"…More specifically, the location problem is modelled as a maximum coverage location problem (MCLP) and solved using a geographic information system (GIS) based platform. The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …"
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583
Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
منشور في 2024"…By formulating the video resource allocation challenge as a multi-objective optimization problem, the framework aims to minimize network delays while respecting node capacity limitations. …"
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584
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585
Iterative heuristics for multiobjective VLSI standard cellplacement
منشور في 2001"…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …"
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article -
586
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
منشور في 2020"…The interest in finding an optimal partitioning especially in VLSI, and has been a hot issue in recent years. …"
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article -
587
Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
منشور في 2022"…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …"
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588
General iterative heuristics for VLSI multiobjective partitioning
منشور في 2003"…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …"
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article -
589
User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations
منشور في 2017"…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …"
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masterThesis -
590
An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
منشور في 2001"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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article -
591
Parallelization of Stochastic Evolution
منشور في 2006"…However, the major drawback has been the large runtime involved in reaching acceptable solutions especially in the case of multi-objective optimization problems. Among the acceleration techniques proposed, parallelization of iterative heuristics is a promising one. …"
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masterThesis -
592
Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement.
منشور في 2003"…However, the major drawback has been the large runtime involved in reaching acceptable solutions especially in the case of multi-objective optimization problems. Among the acceleration techniques proposed, parallelization of these heuristics is one promising alternate. …"
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masterThesis -
593
Scatter search technique for exam timetabling
منشور في 2011"…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…"
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article -
594
Ultra-small cell networks with collaborative RF and lightwave power transfer
منشور في 2019"…Both problems are optimally solved by appropriate algorithms. Moreover, we propose a closed-form suboptimal solution with high accuracy to tackle the optical transmitters’ resource allocation problem, as well as an efficient semi-decentralized method. …"
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article -
595
Design and Analysis of Secure Digital Twin Architecture
منشور في 2022احصل على النص الكامل
doctoralThesis -
596
FoGMatch
منشور في 2019"…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …"
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masterThesis -
597
Transformations for Variants of the Travelling Salesman Problem and Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
598
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
منشور في 2022"…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …"
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599
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
منشور في 2021"…In addition, this review analyzes recent automatic architecture optimization algorithms for DL-based PVPF. Next, the notable DL technologies are thoroughly described. …"
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600
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
منشور في 2018"…We formulate a joint optimization problem and divide it into four complementary subproblems to generate close-to-optimal results with lower complexity. …"
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article