Programme

P.12 -- Poster, VCTP-49

Date: Wednesday, 31 July 2024

Time: 08:30 - 10:00

Analyzing the relationship between population size and the dimension in the problem of nuclear reactor fuel reload optimization using the SHADE method

Giang T.T. Phan(1,2), Hoai-Nam Tran (3), Van-Khanh Hoang (3), Viet-Phu Tran (4), and Quang Binh Do (5)

(1) Institute of Fundamental and Applied Sciences, Duy Tan University, HCMC, Vietnam (2) Faculty of Natural Sciences, Duy Tan University, Da Nang, Viet Nam (3) Phenikaa Institute for Advanced Study, PHENIKAA University, Hanoi, Viet Nam (4) An Binh city Apartment, Co Nhue 1 Ward, Bac Tu Liem District, Hanoi, Viet Nam (5) Saigon University, 273 An Duong Vuong Street, District 5, HCMC, Vietnam

This report explores the relationship between population size and dimension in the in-core fuel management (ICFM) problem for nuclear reactors, using the discrete Success-History based Adaptive Differential Evolution (SHADE) method. The SHADE method has been implemented for the ICFM problem of the DNRR research reactor and the VVER-1000 reactor. The ICFM problem of the DNRR comprises 100 dimensions and that of the 1/6th VVER-1000 MOX core consists of 28 dimensions. The results indicate that the optimal population size is contingent upon the problem’s dimensions. For the high-dimensional DNRR reactor, a smaller population size proves beneficial, whereas the low-dimensional VVER-1000 reactor requires a larger population size. A comparison has been conducted between the objective parameters of the optimal cores obtained from the SHADE search process and those of the reference core.

Presenter: Phan Thi Thuy Giang