Search Results - (( next generation method algorithm ) OR ( using codification based algorithm ))

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  1. 1
    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern

    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
    “…Two methods of optimization are used for CBLL. They are Cross Entropy and also Genetic Algorithm. …”
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  2. 2
    Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes

    Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes by Reem Mustafa , Mah’d Al Debes

    Published 2025
    “…The findings highlight the pivotal role of Genetic Algorithms and game theory in overcoming the limitations of conventional resource allocation methods. …”
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  3. 3
    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game

    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

    Published 2015
    “…In the last experiment, the results showed that DE and EP algorithms can generate superior controllers whilst PDE is only capable to generate sub-optimal controllers. …”
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  4. 4
    Next generation insect taxonomic classification by comparing different deep learning algorithms

    Next generation insect taxonomic classification by comparing different deep learning algorithms by Song-Quan Ong, Suhaila Ab. Hamid

    Published 2022
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  5. 5
    Trajectory planning and simulation for 3d printing process

    Trajectory planning and simulation for 3d printing process by Ng, Chin Yong

    Published 2022
    “…The output of slicing algorithm will be used as input of infill generator to generate infill vertices based on the infill density and infill pattern that decided by users. …”
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  6. 6
    Performance analysis of bacterial genome assemblers using illumina next generation sequencing data / Nur ‘ Ain Mohd Ishak

    Performance analysis of bacterial genome assemblers using illumina next generation sequencing data / Nur ‘ Ain Mohd Ishak by Nur ‘ Ain , Mohd Ishak

    Published 2020
    “…The advancement of next generation sequencing (NGS) technology has revolutionized the field of genomic and genetic studies. …”
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  7. 7
    Optimization of ship routing using hybrid genetic algorithm / Ismail

    Optimization of ship routing using hybrid genetic algorithm / Ismail by ., Ismail

    Published 2014
    “…The improvement procedure ensures a chromosome with the best fitness is carried forward into the next generation. To evaluate the algorithm, three experiments are carried out. …”
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  8. 8
    A generalized laser simulator algorithm for optimal path planning in constraints environment

    A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

    Published 2022
    “…The results demonstrated that the proposed method could generate an optimal collision-free path. …”
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  9. 9
    Development of classification algorithms of human gait

    Development of classification algorithms of human gait by Koh, Chee Hong

    Published 2022
    “…Two classification algorithms were developed: Support Vector Machine (SVM) classification algorithm and Artifical Neural Network (ANN). …”
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  10. 10
    A review: accuracy optimization in clustering ensembles using genetic algorithms

    A review: accuracy optimization in clustering ensembles using genetic algorithms by Ghaemi, Reza, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Mustapha, Norwati

    Published 2011
    “…Next, clustering accuracies among the genetic-guided clustering ensemble algorithms is compared. …”
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  11. 11
    Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method

    Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method by Noor Zaihah, Jamal, Mohd Herwan, Sulaiman, Abdul, Nasir, Jabbar, Waheb A.

    Published 2024
    “…The algorithms are assisted with penalty function method during the selection of new agents/ offsprings to confirm the generations that violated the constraints are superseded during the next generation selection. …”
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  12. 12
    Knowledge-based genetic algorithm for multidimensional data clustering

    Knowledge-based genetic algorithm for multidimensional data clustering by Purnomo, Muhammad Ridwan Andi, Saleh, Chairul, Lagaida, R.L., Hassan, Azmi

    Published 2013
    “…The chromosome which has inappropriate genes will be penalised with maximum value to prohibit it in the next generation. The experimental result is also provided for KBGA-Clustering and Genetic Algorithm-Clustering (GA-Clustering) to present the performance. …”
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  13. 13
    A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination

    A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination by Ahmed, Marzia, Ahmad Johari, Mohamad, Rahman, Mostafijur, Mohd Herwan, Sulaiman, Abul Kashem, Mohammod

    Published 2023
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  14. 14
    Elitism Based Migrating Birds Optimization Algorithm for Optimization Testing

    Elitism Based Migrating Birds Optimization Algorithm for Optimization Testing by Hasneeza, L. Zakaria, Kamal Z., Zamli

    Published 2017
    “…Elitism is a preservation method that preserves the best population and introduces it back into the next population. …”
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  15. 15
    Optimised multi-robot path planning via smooth trajectory generation

    Optimised multi-robot path planning via smooth trajectory generation by Loke, Zhi Yu

    Published 2024
    “…Particle swarm optimization (PSO) outperforms conventional methods like artificial potential fields (APF), the Dijkstra algorithm, and the A* algorithm in path planning for mobile robots. …”
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  16. 16
    Ontology matching: in search of challenges ahead

    Ontology matching: in search of challenges ahead by Farooqui, N.K., Noordin, Mohamad Fauzan, Muhammad, AbdulHafeez

    Published 2015
    “…This paper elaborates technologies, tools, algorithms and methods used by recent ontology matchers. …”
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  17. 17
    Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations

    Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations by Goheannee

    Published 2014
    “…The latter three are the next generation of metaheuristic algorithms and albeit popular elsewhere, have no known attempt in tool capacity allocation problems. …”
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  18. 18
    Modified Harris Hawks Optimization Algorithm For Protein Multiple Sequence Alignment

    Modified Harris Hawks Optimization Algorithm For Protein Multiple Sequence Alignment by Ibrahim, Al-Zaidi Mohammed Khaleel

    Published 2024
    “…Proteins are essential to life, impacting many aspects of human existence. Recent advances in next-generation sequencing technologies have generated a vast amount of data online. …”
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  19. 19
    Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System

    Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System by Hormozi, Shahram Golzari

    Published 2011
    “…Next, the Real World Tournament Selection method is adapted and incorporated into the resource competition of Artificial Immune Recognition System. …”
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  20. 20
    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation

    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

    Published 2019
    “…The error measurements of the proposed method such as Mean Absolute Percentage Error, Mean Absolute Error, And Root Mean Square Error for islanding detection are less than 0.02% for ideal and noisy conditions which shows that the algorithm is not sensitive to noise. …”
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