Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …"
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning حسب Sait, Sadiq M.

"…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …"
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An evolutionary algorithm for network topology design حسب Youssef, H.

"…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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An improved Dragonfly Algorithm for feature selection حسب Abu Doush, Iyad

"…Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. …"
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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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Scalable Parallel Algorithms for FPT Problems حسب Abu-Khzam, Faisal N.

"…Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems of significance. …"
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Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

"…Scheduling and allocation can be formulated as an optimization problem. In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
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Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method حسب Mohamed Massaoudi (16888710)

A clustering metaheuristic for large orienteering problems حسب Almiqdad Elzein (13141038)

"…The metaheuristic starts by decomposing the problem into smaller, independent sub-problems that are efficiently solved using an algorithm of choice, sequentially or in parallel. The obtained solutions are then merged to form a solution for the original problem, and then further optimized and processed to ensure feasibility. …"

Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg... حسب Ali S. Alghamdi (12722891)

"…<p dir="ltr">Coordinated energy scheduling and management strategies in the energy hub plan are essential to achieve optimal economic performance. In this paper, the scheduling and management framework of an energy hub (EH) is presented with the aim of energy profit maximization in partnership with electricity, natural gas, and district heating networks (EGHNs) considering the coordinated multi-energy management based on the day-ahead market. …"

DRL-Based IRS-Assisted Secure Visible Light Communications حسب Danya A. Saifaldeen (19498705)

"…The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. …"

Optimization metaheuristic for software testing حسب Mansour, Nashat

"…In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions. We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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Analysis of Multi-User-Based UAV System With Outdated CSI حسب Parvez Shaik (21633041)

"…In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. Optimization of UAV location and altitude is performed through a limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) algorithm to attain minimum OP (MOP). …"

Recent Versions and Applications of Sparrow Search Algorithm حسب Al-Betar, Mohammed Azmi

"…This paper reviews the latest versions and applications of sparrow search algorithm (SSA). It is a recent swarm-based algorithm proposed in 2020 rapidly grew due to its simple and optimistic features. …"
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System حسب Anupama Ganguly (22502969)

Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection حسب Ala Gouissem (7006463)

"…Therefore, to solve this problem and enhance the spatial and frequency diversity orders of large amplify and forward cooperative communication networks, in this paper, we develop three multiple relay selection and distributed beamforming techniques that exploit sparse signal recovery theory to process the subcarriers using the low complexity orthogonal matching pursuit algorithm (OMP). In particular, by separating all the subcarriers or some subcarrier groups from each other and by optimizing the selection and beamforming vector(s) using OMP algorithm, a higher level of frequency diversity can be achieved. …"

A Recent Advances of Bat-inspired Algorithm حسب Abou Doush, Iyad

"…Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. …"
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Artificial neural network algorithms. (c1999) حسب Ramadan, Samer N.

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Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications حسب Hussie, Abdelazim

"…The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. …"
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