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  1. 1
    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…In the benchmark paper, the result of implementation of LACE algorithm in 400, 600, 800 and 1000 servers were plotted at different graphs. …”
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  2. 2
    Integrated Scheduling and RTO of RGP with MPC and PI Controllers

    Integrated Scheduling and RTO of RGP with MPC and PI Controllers by Yusoff, Nooryusmiza, Ramasamy , Marappagounder

    Published 2009
    “…Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by model predictive control (MPC) scheme and proportional-integral (PI) controllers for comparison. …”
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  3. 3
    Integrated Scheduling and RTO of RGP with MPC and PI Controllers

    Integrated Scheduling and RTO of RGP with MPC and PI Controllers by Yusoff, Nooryusmiza, Ramasamy , Marappagounder

    Published 2009
    “…Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by model predictive control (MPC) scheme and proportional-integral (PI) controllers for comparison. …”
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  4. 4
    Integrated scheduling and RTO of RGP with MPC and PI controllers

    Integrated scheduling and RTO of RGP with MPC and PI controllers by Yusoff, Nooryusmiza, Ramasamy , Marappagounder

    Published 2009
    “…Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by Model Predictive Control (MPC) scheme and Proportional-Integral (PI) controllers for comparison. …”
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  5. 5
    Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau

    Application of Artificial Neural Networks (ANN) for unit commitment prediction / Robert Engkiau by Engkiau, Robert

    Published 2003
    “…Results from existing Genetic Algorithm (GA) program were used as the NN training and testing data set. …”
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  6. 6
    Priority and dynamic quantum time algorithms for central processing unit scheduling

    Priority and dynamic quantum time algorithms for central processing unit scheduling by Mohammed, Maysoon A.

    Published 2018
    “…The proposed algorithms (Priority Dynamic Quantum Time and Multi Priority Dynamic Quantum Time Algorithms) are implemented using JAVA programming language and validated using Key Performance Indicators equations. …”
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  7. 7
    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
    “…New Iterative Alternating Group Explicit (NAGE) is a powerful parallel numerical algorithm for multidimensional temperature prediction. …”
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  8. 8
    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail

    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail by Ismail, Nor Laili

    Published 2024
    “…Subsequently, the proposed HEBMO was integrated with an artificial neural network (ANN) for the scheduling of input features of the generator to predict total fuel cost and emission in power system planning. …”
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  9. 9
    HELM based Reinforcement Learning for Goal Localization

    HELM based Reinforcement Learning for Goal Localization by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2016
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  10. 10
    Selecting quality initial random seed for metaheuristic pproaches: a case of timetabling problem

    Selecting quality initial random seed for metaheuristic pproaches: a case of timetabling problem by Md Sultan, Abu Bakar, Mahmod, Ramlan, Sulaiman, Md. Nasir, Abu Bakar, Mohd Rizam

    Published 2008
    “…The University Course Timetabling Problems (UCTP) deals with the scheduling of the teaching program. Metaheuristic techniques have been very successful in a wide range of timetabling problem including UCTP. …”
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  11. 11
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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