Search Results - (( evolution optimization bat algorithm ) OR ( variable interaction modified algorithm ))

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  1. 1
    Multi-Swarm bat algorithm

    Multi-Swarm bat algorithm by Taha A.M., Chen S.-D., Mustapha A.

    Published 2023
    “…In this study a new Bat Algorithm (BA) based on multi-swarm technique called the Multi-Swarm Bat Algorithm (MSBA) is proposed to address the problem of premature convergence phenomenon. …”
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  2. 2
    A variable combinatorial test suite strategy based on modified greedy algorithm

    A variable combinatorial test suite strategy based on modified greedy algorithm by Homaid, Ameen A. Ba, Alsewari, Abdulrahman A.

    Published 2015
    “…This proposed will suggest a new CIT strategy based on a modified greedy algorithm (MGA) with addressing the supporting of variable strength interaction to generate a satisfactory test suite size.…”
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  3. 3
    Adapting the Elitism on the Greedy Algorithm for Variable Strength Combinatorial Test Cases Generation

    Adapting the Elitism on the Greedy Algorithm for Variable Strength Combinatorial Test Cases Generation by Bahomaid, Ameen A., Alsewari, Abdulrahman A., Zamli, Kamal Z., Alsariera, Yazan A.

    Published 2018
    “…This algorithm is invariably called the modified greedy algorithm (MGA). …”
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  4. 4
    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff

    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff by Mohd Yusoff, Nurulanis

    Published 2017
    “…Basically, the QEEA is based on the Time Domain (TD) and Frequency Domain (FD) scheduling where it is dependent on the QoS requirements to allocate resources. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
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  5. 5
    New genetic operator for solving the travelling salesman problem / Fadzilawani Astifar Alias ... [et al.]

    New genetic operator for solving the travelling salesman problem / Fadzilawani Astifar Alias ... [et al.] by Alias, Fadzilawani Astifar, Shamsuddin, Maisurah, Mohamed, Siti Asmah, Mahlan, Siti Balqis

    Published 2015
    “…TSP is an NP-complete problem that has many interaction variables with a high degree of freedom. …”
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  6. 6
    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai

    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai by Vivian Koh , Ci Ai

    Published 2020
    “…Therefore, the second objective was to modify a conventional centralised MPC algorithm to cater for the state and time-varying factors of the CVS-BiVAD system. …”
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  7. 7
    Improved model for blood glucose control using Multi-Parametric Model Predictive Control (MP-MPC) / Nur Farhana Mohd Yusof

    Improved model for blood glucose control using Multi-Parametric Model Predictive Control (MP-MPC) / Nur Farhana Mohd Yusof by Mohd Yusof, Nur Farhana

    Published 2019
    “…As a result, we managed to have a good correlation on interactions between the parameters in glucose-insulin intervention. …”
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