The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Aiming at the effective approximation of sampling particle set relative to system state in observation uncertainty, a novel cost reference particle filter based on adaptive particle swarm optimization is proposed. In the new algorithm, the cost function and the risk function are firstly introduced to realize reasonable utilization of the latest observation. In addition, according to the prior modeling...
Phased-mission system is a kind of broad exist complex system. It has important reference value to research the reliability optimization of this kind of system. For reliability optimization problem of standby phased-mission systems, a method adopts modular fault tree and modular BDD to describe structure of standby system is proposed. The reliability compute method of standby sub-system in phased-mission...
The paper introduces the principle of genetic algorithm and analyses the selection of parameters of genetic algorithm. By an example, the paper researches the different effect of each parameter. Such as, the size of the population (M), the probability of crossover (Pc) and the probability of mutation (Pm). By the experimentation and simulation, The paper brings forward a general method for selection...
Shuffled frog-leaping algorithm (SFLA) is a new meta-heuristic population evolutionary algorithm. Shuffled frog-leaping algorithm has fast and excellent global exploration capability. Firstly, the paper introduces the principle of SFLA. Then, the paper analyses the parameters of SFLA. By the examination, the paper validates the effect of parameters to SFLA. The paper compares SFLA with genetic algorithm...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.