بدائل البحث:
lower optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), spider optimization (توسيع البحث)
lower optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), spider optimization (توسيع البحث)
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41
Cuckoo search for portfolio optimization. (c2014)
منشور في 2014احصل على النص الكامل
احصل على النص الكامل
masterThesis -
42
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
43
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
منشور في 2024"…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. …"
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44
A localized navigation algorithm for Radiation Evasion for nuclear facilities. Part II: Optimizing the "Nearest Exit" Criterion
منشور في 2013"…., in press), we modify the navigation algorithm which was presented with the objective of optimizing the “Radiation Evasion” Criterion so that navigation would optimize the criterion of “Nearest Exit”. …"
احصل على النص الكامل
article -
45
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
منشور في 2018احصل على النص الكامل
doctoralThesis -
46
Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm
منشور في 2024"…To avoid such issues and provide the optimal solution, there are some modifications are implemented into the internal structure of t‐LCA based on Weibull flight operator, mutation‐based approach, quasi‐opposite‐based learning and gorilla troops exploitation‐based mechanisms to enhance the overall strength of the algorithm to obtain the global solution. …"
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47
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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48
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49
Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
منشور في 2024"…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …"
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50
Optimizing clopidogrel dose response
منشور في 2016"…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
51
Adaptive bias simulated evolution algorithm for placement
منشور في 2001"…Elements with lower goodnesses have higher probabilities of getting selected for perturbation. …"
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احصل على النص الكامل
article -
52
A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM
منشور في 2020"…The parameters of the algorithm are discussed in detail and it is shown that the algorithm converges to a global solution of the clustering problem. …"
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article -
53
A New Parallel Genetic Algorithm Model
منشور في 2020"…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
احصل على النص الكامل
article -
54
Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection
منشور في 2019"…Therefore, to solve this problem and enhance the spatial and frequency diversity orders of large amplify and forward cooperative communication networks, in this paper, we develop three multiple relay selection and distributed beamforming techniques that exploit sparse signal recovery theory to process the subcarriers using the low complexity orthogonal matching pursuit algorithm (OMP). In particular, by separating all the subcarriers or some subcarrier groups from each other and by optimizing the selection and beamforming vector(s) using OMP algorithm, a higher level of frequency diversity can be achieved. …"
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55
Capturing outline of fonts using genetic algorithm and splines
منشور في 2001"…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. …"
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احصل على النص الكامل
article -
56
Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
منشور في 2020"…The algorithm is an effective yet simple tool to help operators optimize the NCB of their PV facilities. …"
احصل على النص الكامل
احصل على النص الكامل
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57
An intensive and comprehensive overview of JAYA algorithm, its versions and applications
منشور في 2021"…The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. …"
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احصل على النص الكامل
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58
Best Polynomial Harmony Search with Best β-Hill Climbing Algorithm
منشور في 2020"…HC and the second one is called Imp. PHS? HC. The two algorithms are evaluated using 13 global optimization classical benchmark function with various ranges and complexities. …"
احصل على النص الكامل
احصل على النص الكامل
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59
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
منشور في 2023"…First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …"
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60