بدائل البحث:
where function » heart function (توسيع البحث)
algorithm its » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
its function » cost function (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
where function » heart function (توسيع البحث)
algorithm its » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
its function » cost function (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
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1
Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021"…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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2
Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control
منشور في 2022"…The constructed Ls-AOA algorithm was then proposed to design a proportional-integral-derivative (PID) controller employed in a functional electrical stimulation (FES) system for the first time. …"
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3
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 -
4
Improving the Secure Socket Layer Protocol by modifying its Authentication function
منشور في 2017"…SSL uses three interdependent cryptographic functions to perform a secure connection. The first function is authentication. …"
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conferenceObject -
5
Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
منشور في 2023"…<p dir="ltr">The problem of formation tracking control for a group of quadcopters with nonlinear dynamics using Barrier Lyapunov Functions (BLFs) is studied in this paper where the quadcopters are following a desired predefined trajectory in a predefined formation shape. …"
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6
Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
7
Salp swarm algorithm: survey, analysis, and new applications
منشور في 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
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
منشور في 2024"…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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9
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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10
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 -
11
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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article -
12
ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
منشور في 2022"…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …"
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13
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 -
14
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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15
A comparative study of RSA based digital signature algorithms
منشور في 2006"…A digital signature is a mechanism designed to allow secure communication through an insecure medium and can be traced in many applications where privacy is required. …"
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article -
16
Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)
منشور في 2017"…The resulting adaptive, high-performance technique is called Genetic Algorithm with Domain-Trimming (GADT). As a proof of concept, the GADT is applied to a widely used benchmark problem. …"
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17
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18
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 -
19
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
منشور في 2020"…In this paper we perform a comparative study among GA, SA, and TS. These algorithms have many similarities, but they also possess distinctive features, mainly in their strategies for searching the solution state space. …"
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article -
20
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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article