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algorithm within » algorithm its (Expand Search)
algorithm rate » algorithm fa (Expand Search), algorithm a (Expand Search), algorithm aoa (Expand Search)
value function » taste function (Expand Search)
rate function » taste function (Expand Search)
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1
From Collatz Conjecture to chaos and hash function
Published 2023“…These sequences are then utilized within the diffusion and confusion structures of the hashing function. …”
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Scatter Search algorithm for Protein Structure Prediction
Published 2016“…Given the protein's sequence of Amino Acids (AAs), our algorithm produces a 3D structure that aims to minimise the energy function associated with the structure. …”
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3
A New Penalty Function Algorithm For Convex Quadratic Programming
Published 2020“…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
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4
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…Several algorithms have been proposed in the literature for synthesis of multiple valued logic functions. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
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masterThesis -
6
A systolic algorithm for VLSI design of a 1/N rate Viterbi decoder
Published 1989Get full text
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7
Economic load dispatch using memetic sine cosine algorithm
Published 2022“…The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. …”
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A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
Published 2012“…While most existing literature focuses on downlink-only or uplink-only scheduling algorithms, the proposed algorithm aims at ensuring a utility function that jointly captures the quality of service in terms of delay and channel quality on both links. …”
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9
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …”
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…Since we use Multi-objects to track, the Joint Probability Distribution Function (JPDA) estimates the best measurement values with a preset gating threshold. …”
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Scatter search for protein structure prediction. (c2008)
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masterThesis -
13
Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
Published 2017Get full text
doctoralThesis -
14
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
Published 2023“…The proposed RSA-SSA employed Otsu’s variance class function to get the best threshold values at each level. …”
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15
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
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doctoralThesis -
16
Computational evluation of protein energy functions
Published 2014“…Predicting these structures is guided by the requirement of minimizing the energy value associated with the protein structure. However, the energy functions proposed so far by biophysicists and biochemists are still in the exploration phase and their usefulness has been demonstrated only individually. …”
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conferenceObject -
17
Modelling Exchange Rates during Currency Crisis using Neural Networks
Published 2006“…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …”
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conferenceObject -
18
Evaluation of transfer functions for punctured turbo codes
Published 2000“…A modified algorithm for evaluating transfer functions of turbo codes with punctured systematic bits is presented. …”
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19
Cross entropy error function in neural networks
Published 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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20
Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population
Published 2024“…After reaching warfarin maintenance dose, the dose was recalculated using the GWD and median absolute error (MAE) and the percentage of warfarin doses within 20% of the actual dose were calculated and compared for the two algorithms. …”