بدائل البحث:
encoding algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
finding » findings (توسيع البحث)
encoding algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
finding » findings (توسيع البحث)
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A time-domain algorithm for the analysis of second-harmonicgeneration in nonlinear optical structures
منشور في 2000"…A time-domain simulator of integrated optical structures containing second-order nonlinearities is presented. The simulation algorithm is based on nonlinear wave equations representing the propagating fields and is solved using the finite-difference time-domain method. …"
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A time-domain algorithm for the analysis of second-harmonicgeneration in nonlinear optical structures
منشور في 2000"…A time-domain simulator of integrated optical structures containing second-order nonlinearities is presented. The simulation algorithm is based on nonlinear wave equations representing the propagating fields and is solved using the finite-difference time-domain method. …"
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66
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm
منشور في 2022"…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. …"
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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
منشور في 2018"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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70
GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing
منشور في 2024"…The motivation for this research stems from the increasing demand for efficient resource utilization and task management in cloud computing, driven by the proliferation of Internet of Things (IoT) devices and the growing reliance on cloud‐based services. Traditional task scheduling algorithms often face challenges in handling dynamic workloads, heterogeneous resources, and varying performance objectives, necessitating innovative optimization techniques. …"
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71
Inertial Navigation system of In-pipe Inspection Robot
منشور في 2016احصل على النص الكامل
doctoralThesis -
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Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
منشور في 2020"…It is important to choose the right cleaning strategy (method and frequency) to maximize the electricity production and economic performance of the PV facility. An optimization algorithm was developed and tested for multiple PV panel configurations based in Dubai Water and Electricity Authority’s (DEWA) outdoor test facil ity (OTF) solar lab. …"
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Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm
منشور في 2023"…The proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO, particle swarm optimization (PSO), and salp swarm algorithm (SSA). …"
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"
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Logistics Optimization Using Hybrid Genetic Algorithm (HGA): A Solution to the Vehicle Routing Problem With Time Windows (VRPTW)
منشور في 2024"…The results showcase the outstanding performance of HGA, achieving Best-Known Solutions (BKS) for 11 instances and enhancing BKS solutions in one instance. Experimental findings validate that HGA-SIH consistently delivers results on par with or surpasses those obtained by several cutting-edge algorithms when evaluated based on various solution quality metrics. …"
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"