A review on optimization methods for nuclear reactor fuel reloading analysis
Z Li, J Wang, M Ding - Nuclear Engineering and Design, 2022 - Elsevier
Nuclear reactor fuel reloading optimization is a hot issue in the field of nuclear engineering.
With the reasonable rearrangement of fuel assemblies in a reactor core, the nuclear fuel …
With the reasonable rearrangement of fuel assemblies in a reactor core, the nuclear fuel …
Development and application of hybrid teaching-learning genetic algorithm in fuel reloading optimization
Z Li, J Huang, J Wang, M Ding - Progress in Nuclear Energy, 2021 - Elsevier
The problems of fuel reloading optimization is a complex multi-objective discrete
optimization problem with multiple local optimums. In recent years, great process has been …
optimization problem with multiple local optimums. In recent years, great process has been …
Optimization of fuel core loading pattern design in a VVER nuclear power reactors using Particle Swarm Optimization (PSO)
D Babazadeh, M Boroushaki, C Lucas - Annals of nuclear energy, 2009 - Elsevier
The two main goals in core fuel loading pattern design optimization are maximizing the core
effective multiplication factor (Keff) in order to extract the maximum energy, and keeping the …
effective multiplication factor (Keff) in order to extract the maximum energy, and keeping the …
Comparative study of meta-heuristic algorithms for reactor fuel reloading optimization based on the developed BP-ANN calculation method
Z Li, J Huang, J Wang, M Ding - Annals of Nuclear Energy, 2022 - Elsevier
In order to obtain optimal core configurations, the problems of fuel reloading optimization
must be solved in nuclear engineering field. This problem is a combinational optimization …
must be solved in nuclear engineering field. This problem is a combinational optimization …
Loading pattern optimization of PWR reactors using Artificial Bee Colony
O Safarzadeh, A Zolfaghari, A Norouzi… - Annals of Nuclear …, 2011 - Elsevier
In this paper a core reloading technique using Artificial Bee Colony algorithm, ABC, is
presented in the context of finding an optimal configuration of fuel assemblies. The proposed …
presented in the context of finding an optimal configuration of fuel assemblies. The proposed …
PWR loading pattern optimization using Harmony Search algorithm
N Poursalehi, A Zolfaghari, A Minuchehr - Annals of Nuclear Energy, 2013 - Elsevier
In this paper a core reloading technique using Harmony Search, HS, is presented in the
context of finding an optimal configuration of fuel assemblies, FA, in pressurized water …
context of finding an optimal configuration of fuel assemblies, FA, in pressurized water …
Differential harmony search algorithm to optimize PWRs loading pattern
N Poursalehi, A Zolfaghari, A Minuchehr - Nuclear Engineering and Design, 2013 - Elsevier
The objective of this work is to develop a core loading optimization technique using
differential harmony search algorithm in the context of obtaining an optimal configuration of …
differential harmony search algorithm in the context of obtaining an optimal configuration of …
Reloading pattern optimization of VVER-1000 reactors in transient cycles using genetic algorithm
Y Rahmani - Annals of Nuclear Energy, 2017 - Elsevier
The present paper proposes application of the genetic algorithm (GA) and the innovative
weighting factor method to optimize the reloading pattern of Bushehr VVER-1000 reactor in …
weighting factor method to optimize the reloading pattern of Bushehr VVER-1000 reactor in …
Pattern optimization of PWR reactor using hybrid parallel Artificial Bee Colony
O Safarzadeh, A Zolfaghari, M Zangian… - Annals of Nuclear …, 2014 - Elsevier
In this paper, we propose a core reloading of pressurized water reactors technique based on
a hybrid Artificial Bee Colony (ABC) algorithm. Our approach integrates the merits of both …
a hybrid Artificial Bee Colony (ABC) algorithm. Our approach integrates the merits of both …
Investigation of trunk muscle activities during lifting using a multi-objective optimization-based model and intelligent optimization algorithms
A six-degree-of-freedom musculoskeletal model of the lumbar spine was developed to
predict the activity of trunk muscles during light, moderate and heavy lifting tasks in standing …
predict the activity of trunk muscles during light, moderate and heavy lifting tasks in standing …