بدائل البحث:
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث)
algorithm its » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث)
algorithm its » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
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An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
منشور في 2024"…The proposed algorithm overcomes these limitations by providing an effective solution to maintain a logarithmic cost in case of node failures. …"
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22
A fuzzy basis function network for generator excitation control
منشور في 1997"…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper. …"
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23
Computational evluation of protein energy functions
منشور في 2014"…Proteins are organic compounds made up of chains of amino acids that fold into complex 3-dimensional structures based on their chemical and physical properties. A protein is characterized by its 3D structure, which defines its biological function. …"
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conferenceObject -
24
A new genetic algorithm approach for unit commitment
منشور في 1997"…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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25
A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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26
Cross entropy error function in neural networks
منشور في 2002"…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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conferenceObject -
27
From Collatz Conjecture to chaos and hash function
منشور في 2023"…The results obtained from the comparative analysis highlight the superiority of the proposed hash function over existing alternatives, validating its potential as a robust solution for various cryptographic applications.…"
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28
A genetic-based algorithm for fuzzy unit commitment model
منشور في 2000"…In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units plus a penalty term determined due to the fuzzy load and spinning reserve membership functions. …"
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29
Evolutionary algorithm for protein structure prediction
منشور في 2010"…A protein is characterized by its 3D structure, which defines its biological function. …"
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conferenceObject -
30
Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
منشور في 2006"…A series of experiments are performed to evaluate the efficiency of the algorithms. …"
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31
New enumeration algorithm for regular boolean functions
منشور في 2018"…This paper introduces a new algorithm for enumerating regular Boolean functions. …"
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conferenceObject -
32
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
منشور في 2020"…The benchmark problem used is the floorplanning of very large scale integrated (VLSI) circuits. This is a hard multi-criteria optimization problem. Fuzzy logic is used to combine all objective criteria into a single fuzzy evaluation (cost) function, which is then used to rate competing solutions. # 2001 Elsevier Science Ltd. …"
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33
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34
Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm
منشور في 2000"…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …"
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35
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36
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37
Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem
منشور في 1999"…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …"
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38
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
منشور في 2024"…The goal is to select a set of sensors based on norms of weighted distances cost function. …"
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39
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
منشور في 2023"…The solutions are evaluated using Otsu's fitness function throughout the optimization process. The picture histogram is used to display the algorithm's potential solutions. …"
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40
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
منشور في 2017"…Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. …"