Mohd Zakimi Zakaria

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Multiobjective evolutionary algorithms are robust tool in solving many optimization problems. Model structure selection is a procedure in system identification procedures. This procedure counters two contradicting objective functions which are minimizing mean square error and complexity of the selected model. This paper investigates the effectiveness and(More)
The growing interest in multiobjective optimization algorithms and system identification resulted in a huge research area. System identification is about developing a mathematical model for representing the system observed. This paper describes the effects of genetic algorithm parameters used in multiobjective optimization algorithm (MOO) that is applied to(More)
Modeling automotive palm oil biodiesel engine using the propose algorithm called multi-objective optimization differential evolution (MOODE) is carried out in this paper. The performance of the system is analyzed to study the dynamic behaviors of using biodiesel in running the engine. An adequate modeling of the system is needed to design an exclusive(More)
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