Nurul Aini Jamil

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Differential evolution (DE), one of the evolutionary algorithms (EAs), is well-known for its quality solutions and speed convergence. Just like any EA, the execution of DE depends on the selection of its control parameters consisting of population size, crossover rate and scale factor. DE is operated by two different kinds of search mechanisms, i.e.,(More)
Higher expectation has been requested from artificial intelligence (AI) owing to its success in various applications and domains. The use of AI is no longer limited to solve static optimization problems, but to perform well in dynamic optimization problems as well. The performance of AI in problem solving depends greatly on its own control parameters. The(More)
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