Search Results - (conference OR influence) algorithm

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  1. 1
    Artificial Immune System (AIS) Algorithm For Optimizing Shear Zone Temperature In CNC Turning Operation

    Artificial Immune System (AIS) Algorithm For Optimizing Shear Zone Temperature In CNC Turning Operation by J.A., Adnan, Minhat, Mohamad, Abd Rahman, Md Nizam

    Published 2012
    “…An Artificial Immune System (AIS) algorithm is proposed as the optimization algorithm to find the optimum cutting parameters that minimize the shear zone temperature. …”
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  2. 2
    Demand analysis of flood insurance by using logistic regression model and genetic algorithm

    Demand analysis of flood insurance by using logistic regression model and genetic algorithm by Sidi, P., Mamat, M.B., Sukono, ., Supian, S., Putra, A.S.

    Published 2018
    “…The analysis was done by using logistic regression model, and to estimate model parameters, it is done with genetic algorithm. The results of the analysis shows that eight variables analysed significantly influence the demand of flood insurance. …”
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  3. 3
    Workability review of genetic algorithm approach in networks

    Workability review of genetic algorithm approach in networks by Nurika, O., Zakaria, N., Hassan, F., Jung, L.T.

    Published 2014
    “…However, the choice of genetic algorithm might be influenced by some concerns, such as execution time and problem size. …”
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  4. 4
    Enhanced stochastic fractal search algorithm with chaos

    Enhanced stochastic fractal search algorithm with chaos by Tuan Abdul Rahman, Tuan Ahmad Zahidi, Tokhi, Mohammad Osman

    Published 2016
    “…The modified algorithm aims to improve the Stochastic Fractal Search (SFS) algorithm in terms of convergence speed and fitness accuracy. …”
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  5. 5
    Iteration strategy and ts effect towards the performance of population based metaheuristics

    Iteration strategy and ts effect towards the performance of population based metaheuristics by Nor Azlina, Ab. Aziz, Nor Hidayati, Abdul Aziz, Azlan, Abd Aziz, Tasiransurini, Abdul Rahman, Wan Zakiah, Wan Ismail, Zuwairie, Ibrahim

    Published 2020
    “…The finding shows that iteration strategy can influence the performance of an algorithm and the best iteration strategy is unique to its parent algorithm. …”
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  6. 6
    An efficient computation technique for cryptosystems based on Lucas functions

    An efficient computation technique for cryptosystems based on Lucas functions by Md Ali, Zulkarnain, Othman, Mohamed, Md. Said, Mohamad Rushdan, Sulaiman, Md. Nasir

    Published 2008
    “…We are examining the efficiency of this new algorithm by comparing the computation time with an existing algorithm.…”
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  7. 7
    Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy

    Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy by Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Abdalla, Ahmed N.

    Published 2019
    “…Additionally, the efficiency of the planned algorithm in numerical simulation was compared to that of the "Monte Carlo simulation" (MCS).…”
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  8. 8
    Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm

    Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm by Najihah, S. N., Shayfull, Z., Nasir, S. M., Mohd Sazli, Saad, Rashidi, M. M., Fathullah, M., Noriman, N. Z.

    Published 2016
    “…Since the quality of injection improves plastic parts are mostly influenced by process conditions, the method to determine the optimum process conditions becomes the key to improving the part quality. …”
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  9. 9
    Chaotic fractal search algorithm for global optimization with application to control design

    Chaotic fractal search algorithm for global optimization with application to control design by Tuan Abdul Rahman, Tuan Ahmad Zahidi, As'arry, Azizan, Abdul Jalil, Nawal Aswan, Raja Ahmad, Raja Mohd Kamil

    Published 2017
    “…This paper presents chaos-embedded optimization algorithms named as Chaotic Fractal Search (CFS). These algorithms are improved variance to original Stochastic Fractal Search (SFS) algorithm. …”
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  10. 10
    Analysis of anti-multipath performance based on traditional acquisition algorithm of boc signal

    Analysis of anti-multipath performance based on traditional acquisition algorithm of boc signal by Ji, Yuanfa, Song, Sisi, Sun, Xiyan, Kamarul Hawari, Ghazali, Zhao, Songke

    Published 2022
    “…The simulation results show that the anti-multipath performance of the ASPeCT acquisition algorithm is better than that of the SCPC algorithm.…”
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  11. 11
    Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal

    Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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  12. 12
    Applying DACS3 in the Capacitated Vehicle Routing Problem

    Applying DACS3 in the Capacitated Vehicle Routing Problem by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2010
    “…Embedding a simple behavior of a single ant influences its achievement to reach an optimal distance and also can perform considerably faster compare to other algorithm in TSP and CVRP.…”
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  13. 13
    Optimal DG Placement and Sizing for Voltage Stability Improvement Using Backtracking Search Algorithm

    Optimal DG Placement and Sizing for Voltage Stability Improvement Using Backtracking Search Algorithm by Ruhaizad, Ishak, Azah, Mohamed, Abdalla, Ahmed N., Mohd Zamri, Che Wanik

    Published 2014
    “…This paper presents a method to identify optimal DG location based on maximum power stability index while minimization of real power loss and also DG cost is considered in optimizing the DG size. A new evolutionary algorithm known as backtracking search algorithm (BSA) is opted in solving the optimization problem. …”
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  14. 14
    A new HMCR parameter of harmony search for better exploration

    A new HMCR parameter of harmony search for better exploration by Mansor, N.F., Abas, Z.A, Rahman, A.F.N.A, Shibghatullah, A.S., Sidek, S.

    Published 2016
    “…As a meta-heuristic algorithm, Harmony Search (HS) algorithm is a population-based meta-heuristics approach that is superior in solving diversified large scale optimization problems. …”
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  15. 15
    A new HMCR parameter of harmony search for better exploration

    A new HMCR parameter of harmony search for better exploration by Nur Farraliza, Mansor, Abas, Z.A, Rahman, A.F.N.A, Shibghatullah, A.S., Sidek, S

    Published 2015
    “…As a meta-heuristic algorithm, Harmony Search (HS) algorithm is a population-based meta-heuristics approach that is superior in solving diversified large scale optimization problems. …”
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  16. 16
    An integrated model to email spam classification using an enhanced grasshopper optimization algorithm to train a multilayer perceptron neural network

    An integrated model to email spam classification using an enhanced grasshopper optimization algorithm to train a multilayer perceptron neural network by Mohamad, M., Abdullah, E.F.H.S., Ghaleb, S.A.A., Ghanem, W.A.H.M.

    Published 2021
    “…The versatility and adaptability of the nature of spam influenced past innovations. However, previous techniques have been weakened. …”
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  17. 17
    Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal

    Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hassan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…Lecturer workload at universities includes three major categories: teaching, research and services.Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design.The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets.The Lecturer profile contains information lecturer teaching, research, publication and many more.We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload.This method measures the lecturer teaching workload.The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset.Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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  18. 18
    Benchmark simulator with dynamic environment for job scheduling in grid computing

    Benchmark simulator with dynamic environment for job scheduling in grid computing by Ku-Mahamud, Ku Ruhana

    Published 2014
    “…Job scheduling algorithm has a significant influence on grid computing performance. …”
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  19. 19
    Adaptive Line Enhancer with Selectable Algorithms based on Noise Eigenvalue Spread

    Adaptive Line Enhancer with Selectable Algorithms based on Noise Eigenvalue Spread by Roshahliza, M. Ramli, Noor, Ali O. Abid, Salina, Abdul Samad

    Published 2016
    “…Adaptive efficient mechanism eliminates varying environmental noise embedded in speech signals, since the eigenvalue spread has a great influence on the convergence behavior of adaptive algorithms. …”
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  20. 20
    Modified Parameters of Harmony Search Algorithm for Better Searching

    Modified Parameters of Harmony Search Algorithm for Better Searching by Nur Farraliza, Mansor, Abas, Z.A, Shibghatullah, A.S., Rahman, A.F.N.A

    Published 2017
    “…The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems. …”
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