An Application of MVO algorithm for the optimization of squared-off cascade in the separation of 124Xe

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عنوان دوره: اولین دوره بین المللی و بیست و هشتمین دوره ملی (1400)
In this research, the optimization of squared-off cascade for the separation of end component 124Xe to 90% by two nature-inspired optimization algorithms of Particle swarm optimization and Multi- verse optimization is evaluated. The total number of single elements is considered to be 150. The objective function items are the maximization of the division factor, D, the total recovery factor, R, and the quantity of total product to be produced. The results showed that the PSO algorithm is more functional than the MVO.
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