Search Results - (( strategy implementation case algorithm ) OR ( java application optimization algorithm ))

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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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    Conference or Workshop Item
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    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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    Final Year Project
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    Construction of prioritized t-way test suite using Bi-objective Dragonfly Algorithm by Ahmed, Mashuk, Nasser, Abdullah B., Kamal Z., Zamli

    Published 2022
    “…Therefore, the significance of test case prioritization is quite high. For this reason, this paper has proposed a t-way strategy that implements an adaptive Dragonfly Algorithm (DA) to construct prioritized t-way test suites. …”
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    Article
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    Pairwise Test Data Generation based on Flower Pollination Algorithm by Nasser, Abdullah B., Alsewari, Abdulrahman A., Tairan, Nasser M., Kamal Z., Zamli

    Published 2017
    “…Recently, many existing works are focusing on the use of Search-Based algorithms as the basis of the implementation algorithm; however, there is no single strategy that can be the best for all cases. …”
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    Article
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    Test Cases Minimization Strategy Based On Flower Pollination Algorithm by Ho, Chai Har, Al-Sewari, Abdul Rahman Ahmed Mohammed

    Published 2016
    “…Hence, a test cases minimization strategy is an essential to obtain an optimize test cases and consequently, time will also be reducing. …”
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    Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World by Nasser, Abdul B., Alsewari, Abdulrahman A., Mu’azu, Aminu A., Kamal Z., Zamli

    Published 2016
    “…Recently, adapting optimization algorithm for T-way testing is very interested. As a consequence, many t-way optimization algorithm based strategies have been designed and implemented. …”
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    Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation by Ariful, Haque, Kamal Z., Zamli

    Published 2016
    “…As a result, many meta-heuristic based strategy implementations have appeared in the literature. …”
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    Conference or Workshop Item
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    T-way test data generation startegy with MBO algorithm by Hasneeza, L. Zakaria, Kamal Z., Zamli

    Published 2015
    “…This paper presented the implementation of a nature inspired metaheuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. …”
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    A hybrid kidney algorithm strategy for combinatorial interaction testing problem by Ameen Ali, Mohammed Ba Homaid

    Published 2022
    “…Recent studies have implemented hybrid metaheuristic algorithms as the basis for CIT strategy. …”
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    Thesis
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    Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm by Mohammed Abdullah, Abdullah Nasser

    Published 2018
    “…Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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    Thesis
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    Hybridmigrating birds algorithm starategy for t-way test suite generation by H. L., Zakaria, Kamal Z., Zamli, Fakhrud, Din

    Published 2019
    “…This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to away test data generation strategy. …”
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    Conference or Workshop Item
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    Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor by Hussain, Mohd Azlan, Kershenbaum, L.S.

    Published 2000
    “…This paper describes a novel implementation of a neural network inverse-model based control method on a experimental system-a partially simulated reactor, designed to test the use of such non-linear algorithms. …”
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    Article
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    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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    Thesis
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    Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation by Hasneeza, L. Zakaria, Kamal Z., Zamli, Fakhrud, Din

    Published 2019
    “…This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. …”
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    Conference or Workshop Item
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