، صفحه 0-0 (1) اصل مقاله (444.27 K)

عنوان دوره: اولین دوره بین المللی و بیست و هشتمین دوره ملی (1400)

Farzaneh Ezazi؛ Seyedeh Leila Mirmohammadi؛ jaber safdari؛ Mohammad Hassan Mallah؛ Sadegh Yousefinasab

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.

MVO algorithm؛ Squared-off cascade؛ PSO algorithm؛ Division factor

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