Learning continuous functions using decision tree learning algorithms حسب Ibrahim, Ahmed Esmat Mahmoud

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New enumeration algorithm for regular boolean functions حسب Nasrallah, Walid F.

"…This algorithm exploits the equivalence between regular Boolean functions and positive threshold functions that can be used to represent instances of the knapsack problem. …"
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm حسب De Rochechouart, Maxence

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Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function حسب Mujahid, S.N.

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Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function حسب Duffuaa, S. O.

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A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

"…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …"
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Mobile robots obstacles avoidance using dynamic window approach حسب Abubakr, Omer Ali

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Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm حسب Noor Habib Khan (22224775)

"…To avoid such issues and provide the optimal solution, there are some modifications are implemented into the internal structure of t‐LCA based on Weibull flight operator, mutation‐based approach, quasi‐opposite‐based learning and gorilla troops exploitation‐based mechanisms to enhance the overall strength of the algorithm to obtain the global solution. For validation of ILCA, the non‐parametric and the statistical analysis are performed using benchmark standard functions. …"

Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques حسب Fares, Samar

"…An objective function utilizing the covariance of the fused tracks is used by the first algorithm while a cost function based on the Kullback-Leibler (KL) divergence measure is used in the second case for training the LSTM. …"
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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System UsingA Time-Multiplied Cost Function حسب Boukas, EK

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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function حسب Boukas, EK

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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems حسب Abualigah, Laith

"…In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …"
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Computational evluation of protein energy functions حسب Mansour, Nashat

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

"…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. …"

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

Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

"…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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Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach حسب Nargess Sadeghzadeh-Nokhodberiz (16904952)

"…<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. …"

Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller حسب Sk. A., Shezan

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