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.
This paper presents a novel terminal synergetic control for DC-DC buck converters. Since buck converters have high nonlinearity and uncertainty, an indirect adaptive control is developed based on recently developed synergetic control methodology. Fuzzy systems are used in an adaptive scheme to approximate the system using a nonlinear model while synergetic control guarantees robustness and the use...
In the sealed-auction-based electricity markets, to fast and accurately solve the random-fuzzy programming problem, which is for building optimal bidding strategies of generation companies and can simultaneously deal with both random variable and fuzzy variable, a improved genetic algorithm (IGA) is proposed based on a genetic algorithm with hybrid Laplace crossover and power mutation (HLCPM). The...
The existence of many pattern recognition systems (PRSs) and their relative merits and drawbacks highlights the need for a metalearning framework that can find the best PRS method for a given task. To address this issue, a hyperparameter evolutionary optimization (HPEO) framework was previously devised, initially using a genetic algorithm to tune external PRS parameters in a modular fashion, decoupled...
To improve the speed and accuracy of numerical optimization methods, this paper proposes a new technique, using fuzzy systems. Although the proposed method is employed to improve the efficiency of the genetic algorithm and ant colony optimization, it can be applied to any swarm intelligence methods. The main idea of this method is to control positive and negative feedbacks to achieve a suitable trade-off...
In this paper we discuss new methods to improve the bacterial memetic algorithm (BMA) used for fuzzy rule base extraction. The first two methods are knot order violation handling methods which improves the performance of the BMA rather in the case of more complex fuzzy rule base. The third method is a new modification of the BMA in which the order of the operators is modified. This method improves...
A method is proposed to automatically extract numerical control rules from the sensor data without the help of experts by means of a genetic algorithms(GA), which add a `King strategy' to crossover operator of the standard GA in order to reduce the blindness of GA search processes and raise the convergence speed. Every generated numerical rule is accumulated in a control table called a numerical rule-based...
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.