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  1. 1
    Statistical fixed range multiple selection algorithm for peer-to-peer system

    Statistical fixed range multiple selection algorithm for peer-to-peer system by Kweh, Yeah Lun, Othman, Mohamed, Ahmad, Fatimah, Ibrahim, Hamidah

    Published 2010
    “…In this research, a new multiple selection algorithm, which is known as "statistical fixed range multiple selection algorithm" is proposed. …”
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  2. 2
    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection

    Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

    Published 2020
    “…The second improvement includes the development and use of new Local Search Algorithm with SSA to improve its exploitation. …”
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  3. 3
    Development of mobile robot and localization system

    Development of mobile robot and localization system by Juhari, Khairul Anuar

    Published 2014
    “…Thus, the research involves designing an indoor mobile robot and creating algorithm for the mobile robot to localize. As such, the purpose of this thesis is to develop the localization of the mobile robot based on Extended Kalman Filter (EKF) method. …”
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  4. 4
    Static range multiple selection algorithm for peer-to-peer system

    Static range multiple selection algorithm for peer-to-peer system by Othman, Mohamed, Kweh, Yeah Lun, Ahmad, Fatimah, Ibrahim, Hamidah

    Published 2011
    “…In this research, a new multiple selection algorithm, which is known as "static range statistical multiple selection algorithm" is proposed. …”
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  5. 5
    Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat

    Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat by Mohammad Ahmad, Jomah Tubishat

    Published 2019
    “…In addition, the improved WOA is developed by using Cauchy mutation and local search algorithm to solve its local optima problem and improve population diversity. …”
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  6. 6
    Implementation of local proprietary symmetric and asymmetric algorithm as secure plug-in on microsoft outlook / Mohd Izhar Jaafar

    Implementation of local proprietary symmetric and asymmetric algorithm as secure plug-in on microsoft outlook / Mohd Izhar Jaafar by Jaafar, Mohd Izhar

    Published 2012
    “…New integration also have an extra value security because of the symmetric algorithm was developed locally in Malaysia. Apart from symmetric algorithm, Public Key Infrastructure technologies that one of the asymmetric algorithm have been select as a part of new integration. …”
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  7. 7
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
    “…Various classification algorithms have been developed to produce classification models with high accuracy. …”
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  8. 8
    Natural image noise level estimation based on local statistics for blind noise reduction

    Natural image noise level estimation based on local statistics for blind noise reduction by Khmag, Asem, Ramli, Abd Rahman, Sy Mohamed, Sy Abd Rahman Al-haddad, Kamarudin, Noraziahtulhidayu

    Published 2018
    “…For blind denoising applications, the proposed denoising algorithm integrates the undecimated wavelet-based denoising algorithms and PCA to develop the subjective and objective qualities of the observed image, which result from filtering processes. …”
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  9. 9
    Multi-Objective Multi-Exemplar Particle Swarm Optimization Algorithm with Local Awareness

    Multi-Objective Multi-Exemplar Particle Swarm Optimization Algorithm with Local Awareness by Noori, Mustafa Sabah, Sahbudin, Ratna K.Z., Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2024
    “…Therefore, this article introduces a novel Multi-Exemplar Particle Swarm Optimization with Local Awareness (MEPSOLA) as a potent solution. The algorithm presents a developed multi-objective-aware criterion for multi-exemplar selection, adeptly balancing exploration and exploitation to avoid local optima and enhance performance across multiple objectives. …”
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  10. 10
    Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed

    Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed by Mudasir , Ahmed

    Published 2019
    “…The simulation results show that the proposed algorithm calculates highly precise firing angles in less number of iterations with the very high capability of tackling the local optima then Bee Algorithm (BA), differential evolution (DE), GA and PSO. …”
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  11. 11
    Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot

    Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot by Jamaludin, Amirul

    Published 2024
    “…While, simultaneous localization and mapping (SLAM) algorithm is one of a key element to enable autonomous navigation. …”
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  12. 12
    Pressure vessel design simulation using hybrid harmony search algorithm

    Pressure vessel design simulation using hybrid harmony search algorithm by Alaa A., Alomoush, Mohammed I., Younis, Khalid S., Aloufi, Alsewari, Abdulrahman A., Kamal Z., Zamli

    Published 2019
    “…Recently the development of optimization algorithm is rapidly increased. …”
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  13. 13
    Kernel and multi-class classifiers for multi-floor wlan localisation

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
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  14. 14
    Aco-based feature selection algorithm for classification

    Aco-based feature selection algorithm for classification by Al-mazini, Hassan Fouad Abbas

    Published 2022
    “…The modified graph clustering ant colony optimisation (MGCACO) algorithm is an effective FS method that was developed based on grouping the highly correlated features. …”
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  15. 15
    Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning

    Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning by Alomoush, Alaa A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Aloufi, Khalid, Kamal Z., Zamli

    Published 2019
    “…In this paper, a hybrid algorithm of HS with grey wolf optimizer (GWO) has been developed to solve the problem of HS parameter selection. …”
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  16. 16
    Long term energy demand forecasting based on hybrid, optimization: Comparative study

    Long term energy demand forecasting based on hybrid, optimization: Comparative study by Musa, Wahab, Ku-Mahamud, Ku Ruhana, Yasin, Azman

    Published 2012
    “…The objective of this research is to develop a long term energy demand forecasting model that used hybrid optimization.To accomplish this goal, a hybrid algorithm that combined a genetic algorithm and a local search algorithm method has been developed to overcome premature convergence.Model performances of hybrid algorithm were compared with former single algorithm model in estimating parameter values of an objective function to measure the goodness-of-fit between the observed data and simulated results.Averages error between two models was adopt to select the proper model for future projection of energy demand.…”
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  17. 17
    A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites

    A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites by Din, Fakhrud

    Published 2019
    “…Many test data generation strategies based on meta-heuristic algorithms such as Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search (HS), Cuckoo Search (CS), Bat Algorithm (BA) and Bees Algorithm have been developed in recent years. …”
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  18. 18
    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…However, the developed algorithms only consider the selected features from a peak model based on the understanding of the EEG signals characteristics. …”
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  19. 19
    Levy slime mould algorithm for solving numerical and engineering optimization problems

    Levy slime mould algorithm for solving numerical and engineering optimization problems by J. J., Jui, M. A., Ahmad, M. I. M., Rashid

    Published 2022
    “…However, in solving a variety of optimization problems, SMA-like metaheuristics are often trapped in local optima. Therefore, for solving the SMA algorithm local optima problem, we used the Levy distribution rather than the conventional uniform distribution in the candidate selection procedure. …”
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  20. 20
    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy

    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
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