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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
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Application of inerter in passenger vehicle suspension systems / Soong Ming Foong
Published 2015“…In the second part, the use of semi-active switching algorithm on an inerter showed greater ride improvement of up to 12 % than that brought by passive inerter, while the non-linearity which was also modeled as switching law for the inerter managed better sprung mass transient response. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Block backward differentiation alpha-formulas for solving stiff ordinary differential equations
Published 2017“…In order to describe the whole process of implementation, the numerical algorithm is exhibited. The results indicate that the developed method has advantage in terms of accuracy and total number of step. …”
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Optimized conditioning factors using machine learning techniques for groundwater potential mapping
Published 2019“…In addition, 917 spring locations were identified and used to train and test three machine learning algorithms, namely Mixture Discriminant Analysis (MDA), Linear Discriminant Analysis (LDA) and Random Forest (RF). …”
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