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Showing 1 - 20 results of 69 for search '(( elements upon algorithm ) OR ((( implement genetic algorithm ) OR ( neural coding algorithm ))))', query time: 0.19s Refine Results
  1. 1
    Novel algorithms for accurate DNA base-calling

    Novel algorithms for accurate DNA base-calling by Mohammed, Omniyah Gul

    Published 2013
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  2. 2
    Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant

    Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant by Shahbaz Hussain (9765320)

    Published 2019
    “…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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  3. 3
    Exam scheduling algorithms. (c1999)

    Exam scheduling algorithms. (c1999) by Mikati, Ziad

    Published 1999
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  4. 4
    A New Parallel Genetic Algorithm Model

    A New Parallel Genetic Algorithm Model by Al-Somani, Turki F.

    Published 2020
    “…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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  5. 5
    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network

    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network by Xiaofang Pan (1895950)

    Published 2019
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  6. 6
    Allocating data to distributed-memory multiprocessors by genetic algorithms

    Allocating data to distributed-memory multiprocessors by genetic algorithms by Mansour, Nashat

    Published 2016
    “…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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  7. 7
    A genetic algorithm for testable data path synthesis

    A genetic algorithm for testable data path synthesis by Harmanani, H.

    Published 2017
    “…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …”
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  8. 8
    A new genetic algorithm approach for unit commitment

    A new genetic algorithm approach for unit commitment by Mantawy, A.H.

    Published 1997
    “…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …”
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  9. 9
    An incremental approach for test scheduling and synthesis using genetic algorithms

    An incremental approach for test scheduling and synthesis using genetic algorithms by Harmanani, H.

    Published 2017
    “…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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  10. 10
    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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  11. 11
    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
    “…The algorithm was implemented and tested on various set of instances including large DIMACS challenge benchmark graphs, all yielding favorable results.…”
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  12. 12
    A genetic-based algorithm for fuzzy unit commitment model

    A genetic-based algorithm for fuzzy unit commitment model by Mantawy, A.H.

    Published 2000
    “…The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …”
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  13. 13
    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem

    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem by Mantawy, A.H.

    Published 1999
    “…A new implementation of the genetic algorithm is introduced. …”
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  14. 14
    Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms

    Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms by Al-Duwaish, H.

    Published 2001
    “…In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). …”
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  15. 15
    Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem

    Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem by Montawy, A.H.

    Published 2020
    “…A new implementation of the genetic algorithm is introduced. …”
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  16. 16
    Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses

    Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses by Al Haddad, Rabih

    Published 2020
    “…This study proposes a genetic algorithm-based control strategy that optimizes the coefficient of performance of the HP system to decrease its energy consumption and maximize the driving range. …”
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  17. 17
    Test case generation for path coverage. (c2000)

    Test case generation for path coverage. (c2000) by Salame, Miran

    Published 2000
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  18. 18
    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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  19. 19
    CNN and HEVC Video Coding Features for Static Video Summarization

    CNN and HEVC Video Coding Features for Static Video Summarization by Issa, Obada

    Published 2022
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  20. 20
    A Parallel Genetic Algorithm for the Open-Shop Scheduling Problem Using Deterministic and Random Moves

    A Parallel Genetic Algorithm for the Open-Shop Scheduling Problem Using Deterministic and Random Moves by Harmanani, Haidar M.

    Published 2016
    “…This paper investigates the use of parallel genetic algorithms in order to solve the open-shop scheduling problem. …”
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