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algorithm both » algorithm goa (Expand Search), algorithm aoa (Expand Search)
both function » cost function (Expand Search)
algorithm its » algorithm fa (Expand Search), algorithm goa (Expand Search), algorithm a (Expand Search)
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1
New enumeration algorithm for regular boolean functions
Published 2018“…After proving this equivalence, this paper introduces a novel data structure that may, with further tweaking, enable faster enumeration algorithms for both regular Boolean functions and all-capacities knapsack problem instances.…”
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2
Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
Published 2003“…The results show that, unlike in the stationary case, the steady-state excess MSE is not a monotonically increasing function of the step size. Moreover, the ability of the adaptive algorithm to track the variations in the environment is shown to degrade with increasing frequency offset.…”
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Application of Red Deer Algorithm in Optimizing Complex functions
Published 2021Subjects: “…RD algorithm…”
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Distributed optimal coverage control in multi-agent systems: Known and unknown environments
Published 2024Subjects: -
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Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control
Published 2022Subjects: “…Functional electrical stimulation…”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Get full text
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8
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
Published 2013Subjects: Get full text
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9
Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines
Published 2016Subjects: Get full text
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10
Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems
Published 2022“…Therefore, the paper discusses the development of the Lévy flight-based reptile search algorithm with local search capability and evaluates its potential against challenging power systems engineering optimization problems. …”
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New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications
Published 2019“…The new algorithm exploits the pseudo-linear region around the tangent function zero point to estimate a reduced input arctangent through a modified rational approximation before referring this estimate to its original value using miniature LUTs. …”
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A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
Published 2023“…In this paper, several enhancements were made to this algorithm. First, it’s position updating process was slightly tweaked and took advantage of the chameleons’ randomization as well as adopting several time-varying functions. …”
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13
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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14
Iterative Least Squares Functional Networks Classifier
Published 2007“…Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …”
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15
Evolutionary algorithm for protein structure prediction
Published 2010“…A protein is characterized by its 3D structure, which defines its biological function. …”
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16
An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
Published 2024“…The overlay structure – a unique logical tree – used to control access to the critical section maintains its consistency even when nodes fail. An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. …”
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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Improving the Secure Socket Layer Protocol by modifying its Authentication function
Published 2017“…The most common cryptographic algorithm used for this function is RSA. If we double the key length in RSA to have more secure communication, then it is known that the time needed for the encryption and decryption will be increased approximately eight times. …”
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19
Learning continuous functions using decision tree learning algorithms
Published 2001Get full text
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20
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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