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algorithm its » algorithm _ (Expand Search), algorithm fa (Expand Search), algorithm goa (Expand Search)
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81
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
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doctoralThesis -
82
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83
The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability
Published 2003“…It is shown that improving the fault tolerance of a network can be achieved while optimizing its reliability however at the expense of a reasonable increase in the overall cost of the network while remaining within a maximum pre-specified cost constraint.…”
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84
Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy
Published 2020“…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …”
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85
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
Published 2009Get full text
doctoralThesis -
86
Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks
Published 2019“…We analyze the effectiveness of the proposed algorithm through extensive simulations and highlight valuable performance trends and trade-offs as a function of various system parameters.…”
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87
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
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doctoralThesis -
88
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”
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89
Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
Published 2024“…Our proposed methodology seeks to encapsulate and systematically represent label correlations within the learning framework. The innovation of improved multi-label Naïve Bayes (iMLNB) lies in its strategic expansion of the input space, which assimilates meta information derived from the label space, thereby engendering a composite input domain that encompasses both continuous and categorical variables. …”
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90
Power system output feedback stabilizer design via geneticalgorithms
Published 1997“…Various objective functions are presented allowing the selection of the output feedback gains to place the closed loop eigenvalues in the left hand side of a vertical line in the complex s plane, within an open sector in the complex s plane, or within a vertical strip in the complex s plane. …”
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91
Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
Published 2023“…The work demonstrates how machine learning techniques can capture resource allocation policy and help avoid the complexity of having to re-calculate cost function at every time step, especially when we have many radars and many cameras.…”
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92
A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks
Published 2007“…One of the contributions in attempting to maintain the proper functioning of internetworking is made by the Open Shortest Path First (OSPF) protocol. …”
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masterThesis -
93
Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing
Published 2020“…Subsequently, we propose a method to measure the cost-effectiveness of allocated resources and energy savings, named value density function. …”
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94
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
Published 2024“…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …”
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95
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
Published 2011“…Moreover, if the transmission rate over the wireless medium is high then the need for compression might be reduced or even eliminated as data is transferred efficiently within a limited amount of time. We evaluate and optimize the performance of the proposed adaptive compression scheme using experimental measurements in different scenarios and as a function of various parameters. …”
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96
Shuffled Linear Regression with Erroneous Observations
Published 2019“…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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conferenceObject -
97
A modified optimal design of a vibration absorber for ground motion isolation
Published 2014“…The optimal parameters are plotted and several examples are considered where the objective function is plotted in its approximate and exact optimal shapes.…”
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conferenceObject -
98
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
Published 2019Get full text
doctoralThesis -
99
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
Published 2019“…We demonstrate the favourable characteristics of the proposed algorithms via extensive simulation results and analysis as a function of various system parameters, with benchmarking against two greedy algorithms based on distance and deadline metrics.…”
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100
A novel network-based SIS framework for improved GA performance
Published 2025“…To address these challenges, this work introduces SIS-NGA which integrates the Susceptible-Infected-Susceptible (SIS) epidemic model and Genetic Algorithms within a scale-free network topology, to guide the search for optimal solutions. …”
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masterThesis