Evolutionary algorithms for VLSI multi-objective netlist partitioning حسب Sait, Sadiq M.

"…A series of experiments are performed to evaluate the efficiency of the algorithms. …"
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Evolutionary algorithm for predicting all-atom protein structure حسب Mansour, Nashat

"…This algorithm produces a 3D structure of the whole protein, including back-bone and side-chain atoms, by minimizing the energy function associated with the structure. …"
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Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

"…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…"

A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods حسب Abu Zitar, Raed

"…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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Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems حسب Abdel Magid, Y.L.

"…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …"
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Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

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Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning حسب Sait, Sadiq M.

"…A series of experiments are performed to evaluate the efficiency of the algorithm. …"
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Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

"…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. …"
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Metaheuristic algorithm for testing web 2.0 applications. (c2012) حسب Zeitunlian, Hratch Michel

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Adaptive Time-Varying Brain Source Localization حسب Al-Momani, Sajedah A.

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Mobile robots obstacles avoidance using dynamic window approach حسب Abubakr, Omer Ali

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Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines حسب Haddad, Abdul Rahim

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Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities حسب Moinuddin, M.

"…The results show that, unlike in the stationary case, the steady-state excess MSE is not a monotonically increasing function of the step size. …"
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Efficient heuristic algorithms for influence propagation in social networks. (c2018) حسب Lamaa, Karine H.

"…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. …"
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms حسب Humna Khan (17541972)

"…For the purpose of predicting ground loss as a function of fruit zone, plant height, fruit production, slope, leaf loss, and blower damage, three ML models i.e., support vector regression (SVR), linear regression (LR), and random forest (RF)—were used. …"

A Stochastic Newton-Raphson Method with Noisy Function Measurements حسب Saab, Khaled Kamal

"…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …"
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms حسب Zhongqiang Ma (13765801)

"…In addition, whether these algorithms have a search bias to the origin (i.e., the center of the search space) is investigated. …"

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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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

"…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. …"

An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive حسب Rahman, M. A.

"…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …"
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