Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

“…The results obtained show that the introduced algorithm outperforms the deterministic technique based on the direct cover approach [3] in terms of the average number of product terms required to realize a given MVL function.…”
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems by Abualigah, Laith

Subjects: “…Prairie dog optimization algorithm…”
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm by De Rochechouart, Maxence

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Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

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

Subjects: “…Functional electrical stimulation…”

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

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

“…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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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation by Abualigah, Laith

“…Several benchmark images of COVID-19 validate the performance of the proposed RSA-SSA. The results showed that the proposed RSA-SSA outperformed other metaheuristics optimization algorithms published in the literature.…”
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Computational evluation of protein energy functions by Mansour, Nashat

“…In this project, we carry out a computational evaluation of putative protein energy functions. Our findings show that the CHARMM energy model tends to be more appropriate for ab initio computational techniques that predict protein structures. …”
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BUC algorithm for iceberg cubes by Nasr, George E.

“…In this paper, we implement the Bottom-Up Computation (BUC) algorithm for computing Iceberg cubes and conduct a sensitivity analysis of BUC with respect to the probability density function of the data. …”
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Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

“…The study was achieved with only sets of second-order linearly independent polynomial functions to approximate the neuron functions. The results show that this new framework classifier is reliable, flexible, stable, and achieves a high-quality performance. …”
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From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

“…These sequences are then utilized within the diffusion and confusion structures of the hashing function. …”

Application of Red Deer Algorithm in Optimizing Complex functions by Zitar, Raed

Subjects: “…RD algorithm…”
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Scatter search for protein structure prediction. (c2008) by Kehyayan, Christine Houry

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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

“…The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …”
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Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT) by AlHamaydeh, Mohammad

“…The powerful genetic algorithm optimization technique is augmented with an innovative “domain-trimming” modification. …”
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Stochastic evolution algorithm for technology mapping by Al-Mulhem, A.S.

“…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …”
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Tracking analysis of normalized adaptive algorithms by Moinuddin, M.

“…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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New enumeration algorithm for regular boolean functions by Nasrallah, Walid F.

“…This paper introduces a new algorithm for enumerating regular Boolean functions. …”
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Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population by Amr M. Fahmi (21632909)

“…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. …”