And there is still a huge space for development. While considerable advances have been made in system reliability, the study in system reliability, especially in the problem of redundancy allocation, has been dull. And the complex system reliability optimization is aimed to obtain the highest reliability with seeking a best design scheme in some resource-constraint conditions, or to achieve maximum economic benefits and minimizing investment with meeting the requirements of a certain reliability index. If the index of reliability cannot meet the corresponding requirements, the possibility of malfunction will be higher when the system is more complex and it will cause the greater damage.
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The reliability directly affects the performance of the system.
China frog leap test serial#
A complex system generally contains several connected components which are parallel connection and serial connection or neither. The system reliability refers to the system ability of performing the required function under prescribed conditions and within the stipulated time. Results show that compared to the common methods, it can obtain the best solution, with the maximum value of the system reliability. The proposed methodology, a new version of the SFLA algorithm, was then applied to the mathematical test and the operation of the system reliability model, respectively. Finally, the method of migration operation was introduced to escape from local optimums. Then, the Levy flight update strategy was used to increase the global search ability.
![china frog leap test china frog leap test](https://www.eaglepoolandspa.com/images/products/large_93_KingTech_LeapMineralRes_eaglepoolandspa.png)
First, random grouping strategy was added to maintain the diversity of the population.
![china frog leap test china frog leap test](https://static.nationalgeographic.co.uk/files/styles/image_3200/public/02-amphibian-apocalypse-nationalgeographic_1507144.jpg)
Thereby, a hybrid optimization method was proposed, based on the shuffled frog leaping algorithm and bacterial foraging algorithm, to solve the problem of system reliability and redundancy allocation. However, the objective functions and constraint conditions of system reliability are nonlinear. With the increase in system complexity, the intelligent heuristic optimization methods have received more and more attention on system reliability analysis.