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Showing 201 - 220 results of 577 for search '(( ((level optimization) OR (based optimization)) algorithm ) OR ( spider optimization algorithm ))', query time: 0.14s Refine Results
  1. 201
    An Enhanced Binary Rat Swarm Optimizer based on Local-best Concepts of PSO and Collaborative Crossover Operators for Feature Selection

    An Enhanced Binary Rat Swarm Optimizer based on Local-best Concepts of PSO and Collaborative Crossover Operators for Feature Selection by Abou Doush, Iyad

    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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  2. 202
    Stochastic evolution algorithm for technology mapping

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

    Published 1998
    “…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …”
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  3. 203
    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning

    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning by Sait, Sadiq M.

    Published 2006
    “…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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  4. 204
    An evolutionary algorithm for network topology design

    An evolutionary algorithm for network topology design by Youssef, H.

    Published 2001
    “…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …”
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  5. 205
    An improved Dragonfly Algorithm for feature selection

    An improved Dragonfly Algorithm for feature selection by Abu Doush, Iyad

    Published 2020
    “…Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. …”
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  6. 206
    Exam scheduling algorithms. (c1999)

    Exam scheduling algorithms. (c1999) by Mikati, Ziad

    Published 1999
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  7. 207
    Scalable Parallel Algorithms for FPT Problems

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

    Published 2006
    “…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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  8. 208
    Scheduling and allocation in high-level synthesis using stochastic techniques

    Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

    Published 2020
    “…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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  9. 209
    Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method

    Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method by Mohamed Massaoudi (16888710)

    Published 2021
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  10. 210
    A clustering metaheuristic for large orienteering problems

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

    Published 2022
    “…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. …”
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  11. 211
    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 Algorithm

    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... by Ali S. Alghamdi (12722891)

    Published 2023
    “…<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. …”
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  12. 212
    DRL-Based IRS-Assisted Secure Visible Light Communications

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

    Published 2022
    “…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. …”
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  13. 213
    Optimization metaheuristic for software testing

    Optimization metaheuristic for software testing by Mansour, Nashat

    Published 2013
    “…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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  14. 214
    Analysis of Multi-User-Based UAV System With Outdated CSI

    Analysis of Multi-User-Based UAV System With Outdated CSI by Parvez Shaik (21633041)

    Published 2024
    “…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). …”
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  15. 215
    Recent Versions and Applications of Sparrow Search Algorithm

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

    Published 2023
    “…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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  16. 216
    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices

    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices by Khawam, Yahya Bader

    Published 2016
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  17. 217
    Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System

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

    Published 2025
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  18. 218
    Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection

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

    Published 2019
    “…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. …”
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  19. 219
    A Recent Advances of Bat-inspired Algorithm

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

    Published 2022
    “…Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. …”
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  20. 220
    Artificial neural network algorithms. (c1999)

    Artificial neural network algorithms. (c1999) by Ramadan, Samer N.

    Published 1999
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