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  1. 1
    Crossover and mutation operators of genetic algorithms

    Crossover and mutation operators of genetic algorithms by Lim, Siew Mooi, Md. Sultan, Abu Bakar, Sulaiman, Md. Nasir, Mustapha, Aida, Leong, Kuan Yew

    Published 2017
    “…Genetic algorithms (GA) are stimulated by population genetics and evolution at the population level where crossover and mutation comes from random variables. …”
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  2. 2
    Crossover and mutation operators of genetic algorithms

    Crossover and mutation operators of genetic algorithms by Siew, Mooi Lim, Md. Sultan, Abu Bakar, Sulaiman, Md. Nasir, Mustapha, Aida, Leong, K. Y.

    Published 2017
    “…Genetic algorithms (GA) are stimulated by population genetics and evolution at the population level where crossover and mutation comes from random variables. …”
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  3. 3
    Coronary artery stenosis detection and visualization / Tang Sze Ling

    Coronary artery stenosis detection and visualization / Tang Sze Ling by Tang, Sze Ling

    Published 2015
    “…The performance evaluation results show that the stenosis detection algorithm performs better average sensitivity than several state-of-the-art algorithms.…”
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  4. 4
    Performance analyses of graph heuristics and selected trajectory metaheuristics on examination timetable problem

    Performance analyses of graph heuristics and selected trajectory metaheuristics on examination timetable problem by Mandal, Ashis Kumar, M. N. M., Kahar

    Published 2020
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  5. 5
    An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimisation

    An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimisation by Mamat, Prof. Dr. Mustafa

    Published 2020
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  6. 6
    A nonstandard optimal control problem arising in an economics application: for royalty payment with piecewise function

    A nonstandard optimal control problem arising in an economics application: for royalty payment with piecewise function by Wan Ahmad, Wan Noor Afifah

    Published 2018
    “…The minimizing free value y T  is computed in an outer loop iteration utilizing the Golden Section Search algorithm. At the end of the study, a comparative discrete-time nonlinear programming (NLP) results are also presented.…”
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