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In this study, the particle-swarm meta-heuristic evolutionary optimization method (PSO) has been used to find optimal fuel cycle design which yields the highest natural uranium utilization.
In this research, we developed a new strategy for optimal fuel core loading pattern of a VVER-1000 reactor, based on multi-objective optimization: lowering the Pq, maximization of the Keff and minimization of remaining plutonium (Pu) in fuels at EOC.
Feeling valued and valuable is the optimal fuel.
There is also a guide to help you time your shifts for optimal fuel economy.
They claim the optimal fuel for exercise is not high levels of carbohydrate but fat, a nutritional balance achieved through diets such as Banting or New Atkins.
Moreover, maximum temperature measurement uncertainty influence has to be considered on optimal fuel performance.
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This sequential approach can lead to designs that have sub-optimal fuel consumption and, thus, higher operational costs.
In [15, 16], under a simple assumption of normality, the L 0-optimal control is proved to be equivalent to classical L 1-optimal (or fuel optimal) control, which can be described as a convex optimization.
A statistical sensitivity analysis is used to determine robustness of the optimal PEM fuel cell design.
In this work, the main focus is to measure the optimal cathode fuel flow rate effects with different flow field designs.
Furthermore, response surface models were developed and discussed for the two main fluidity properties of interest and inferences were made from the models for the potential generation of optimal jet fuel mixtures.
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