Search Results - (((( algorithm aoa function ) OR ( algorithm fa function ))) OR ( algorithms most function )) :: Library Catalog

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algorithm aoa » algorithm goa (Expand Search), algorithm a (Expand Search), algorithm _ (Expand Search)
most function » cost function (Expand Search), taste function (Expand Search)
aoa function » cost function (Expand Search)
algorithm fa » algorithm _ (Expand Search), algorithms a (Expand Search), algorithms _ (Expand Search)

1

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

Published 2022
“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. …”

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2

Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control by Abu Zitar, Raed

Published 2022
“…The proposed algorithm (Ls-AOA) was tested against unimodal and multimodal benchmark functions and demonstrated better capability comparatively using other efficient metaheuristic algorithms reported in the literature. …”

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3

Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

Published 2007
“…A comparative study with the most common classification algorithms in both machine learning and statistics communities is carried out. …”

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4

From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

Published 2023
“…<p>The non-linear property of Chaos is a promising approach to information security, and many accomplishments have been made by combining Chaos with several sub-security domains, including chaos-based stream ciphers, block ciphers, image encryption, and hash functions. Most Chaos-based hash functions are insecure or inefficient due to their dependence on complex, attacked multi-dimensional maps or uncertain, weak one-dimensional maps like logistic and tent. …”

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5

Evolution Of Activation Functions for Neural Architecture Search by Nader, Andrew

Published 2020
“…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …”

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masterThesis

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6

Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) by Kawash, Jalal Y.

Published 1994

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7

Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

Published 2024
“…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …”

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8

Radial basis function networks for contingency analysis of bulkpower systems by Refaee, J.A.

Published 1999
“…Radial basis function networks (RBFNs) are used for contingency evaluation of bulk power system. …”

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9

Belief selection in point-based planning algorithms for POMDPs by Azar, Danielle

Published 2017
“…Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value function can be derived by interpolation from the values of a specially selected set of points. …”

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10

Improving the Secure Socket Layer Protocol by modifying its Authentication function by El-Kassar, A. N.

Published 2017
“…It is used to allow the client to identify the server and optionally allow the server to identify the client. The most common cryptographic algorithm used for this function is RSA. …”

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11

Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

Published 2000

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12

Properties of simulated annealing and genetic algorithms for mapping data to multicomputers by Mansour, Nashat

Published 1997
“…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …”

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13

Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images by Abu Zitar, Raed

Published 2023
“…The leading mathematical arithmetic operators' distributional nature is used by the AOA method. The picture histogram was used to construct the candidate solutions in the modified algorithms, which were then updated according to the algorithm's features. …”

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14

Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis by Md. Shafayet Hossain (16888833)

Published 2022

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15

Evolutionary algorithms, simulated annealing and tabu search: a comparative study by Youssef, H.

Published 2020
“…The termevolutionary algorithmis used to refer to any probabilistic algorithmwhose design is inspired by evolutionary mechanisms found in biological species. Most widely known algorithms of this category are genetic algorithms (GA). …”

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16

Mobile robots obstacles avoidance using dynamic window approach by Abubakr, Omer Ali

Published 2018

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17

A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

Published 2021
“…Thirty bound constrained benchmark functions are used to evaluate the performance of the proposed algorithm. …”

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18

An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection by Abu Zitar, Raed

Published 2022
“…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”

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19

A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks by Saad, Walid

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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20

Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise by Saab, Samer S.

Published 2005
“…This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …”

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