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step function » taste function (Expand Search)
value function » taste function (Expand Search)
algorithm step » algorithm its (Expand Search), algorithm sma (Expand Search), algorithm survey (Expand Search)
step function » taste function (Expand Search)
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1
A New Penalty Function Algorithm For Convex Quadratic Programming
Published 2020“…Each iteration in the algorithm consists of a single Newton step followed by a reduction in the value of the penalty parameter. …”
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2
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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3
Genetic and heuristic algorithms for regrouping service sites. (c2000)
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masterThesis -
4
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
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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5
GATS: A Novel Hybrid Algorithm for Multiobjective Cell Placement in VLSI Circuit Design
Published 2020“…This paper addresses the optimization of cell placement step in VLSI circuit design [1]. A novel hybrid algorithm is proposed for performance and low power driven VLSI standard cell placement. …”
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6
Adaptive step-size sign least mean squares
Published 2004“…A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. …”
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7
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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8
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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9
Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
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doctoralThesis -
10
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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11
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 -
12
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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13
From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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14
Tracking analysis of normalized adaptive algorithms
Published 2003“…Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.…”
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15
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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16
Belief selection in point-based planning algorithms for POMDPs
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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17
A Comparative Study of Elgamal Based Cryptographic Algorithms
Published 2004“…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …”
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18
Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …”
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19
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
Published 2003“…Fuzzy rules are used in order to design the overall multi-objective cost function that integrates the costs of three objectives in a single overall cost value. …”
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20
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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