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Showing 1 - 20 results of 298 for search '(( element based algorithm ) OR ((( data mould algorithm ) OR ( solved using algorithm ))))', query time: 0.15s Refine Results
  1. 1
    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm

    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

    Published 2022
    “…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …”
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  2. 2
    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators

    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators by Al-Hamouz, Z.M.

    Published 2002
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  3. 3
    An algorithm for solving bond pricing problem

    An algorithm for solving bond pricing problem by Dibeh, Ghassan

    Published 2002
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  4. 4
    Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem

    Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem by Haraty, Ramzi A.

    Published 2018
    “…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
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  5. 5
    An evolutionary algorithm for solving the geometrically constrained site layout problem

    An evolutionary algorithm for solving the geometrically constrained site layout problem by Zouein, P.

    Published 2017
    “…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …”
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  6. 6
    Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem

    Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem by Al-Mulhem, M.

    Published 1998
    “…This paper describes a hybrid algorithm that combines an adaptive-type neural network algorithm and a nondeterministic iterative algorithm to solve the Euclidean traveling salesman problem (E-TSP). …”
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  7. 7
    Modified clarke wright algorithms for solving the realistic vehicle routing problem

    Modified clarke wright algorithms for solving the realistic vehicle routing problem by Shour, Amina

    Published 2015
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  8. 8
    Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities

    Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities by Zouein, P. P.

    Published 2002
    “…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. This problem involves coordinating the use of limited site space to accommodate temporary facilities so that transportation cost of materials is minimized. …”
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  9. 9
    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars

    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars by Abathar Al-Hamrani (16494884)

    Published 2023
    “…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…”
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  10. 10
    Design of adaptive arrays based on element position perturbations

    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
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  11. 11
    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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  12. 12
    Evolutionary algorithms for state justification in sequential automatic test pattern generation

    Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

    Published 2005
    “…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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  13. 13
    Using Fractional Bernoulli Wavelets for Solving Fractional Diffusion Wave Equations with Initial and Boundary Conditions

    Using Fractional Bernoulli Wavelets for Solving Fractional Diffusion Wave Equations with Initial and Boundary Conditions by Sahlan, Monireh Nosrati

    Published 2021
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  14. 14
    Capturing outline of fonts using genetic algorithm and splines

    Capturing outline of fonts using genetic algorithm and splines by Sarfraz, M.

    Published 2001
    “…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. …”
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  15. 15
    A method for the minimum coloring problem using genetic algorithms

    A method for the minimum coloring problem using genetic algorithms by Harmanani, Haidar

    Published 2006
    “…This paper presents a method to solve the graph coloring problem for arbitrary graphs using genetic algorithms. …”
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  16. 16
    Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm

    Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm by Abido, M. A.

    Published 2005
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  17. 17
    Environmental/economic power dispatch using multiobjective evolutionary algorithms

    Environmental/economic power dispatch using multiobjective evolutionary algorithms by Abido, M.A.

    Published 2003
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  18. 18
    A method for test scheduling using an evolutionary approach. (c2000)

    A method for test scheduling using an evolutionary approach. (c2000) by Noujaim, Jad

    Published 2000
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  19. 19
    Decomposition method for solving a nonlinear business cycle model

    Decomposition method for solving a nonlinear business cycle model by Dibeh, Ghassan

    Published 2003
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  20. 20
    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†

    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† by Harmanani, Haidar

    Published 2010
    “…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …”
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