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.
In this paper, A solution is proposed for the multi-robot task assignment in obstacle environment, which combines the A∗ algorithm with the genetic algorithm. Our main work are twofold:(a) Path planning method based on A∗ algorithm to search an optimal path between any robot and any target or any two targets; and (b) task assignment method based on the genetic algorithm for the assignment of robots...
Particle filter (PF) is an effective approach for the state estimation of nonlinear systems. However, PF still faces many problems which influence the accuracy of state estimation. One typical problem is the particle impoverishment. In this study, an adaptive intelligent particle filter (AIPF) is proposed to mitigate the particle impoverishment problem common in PF. We adopt the idea of evolution...
Practical production systems are usually complex, nonlinear and non-Gaussian. Different from some other fault diagnosis methods, particle filter can applied to nonlinear and non-Gaussian systems effectively. The particle impoverishment problem exists in the traditional particle filter algorithm, which influences the results of state estimation. In this paper, we conclude that the general particle...
This paper presents the synchronous harmonic optimum pulsewidth modulation (SHOPWM) for three level diode clamped inverter. First, the problem of minimizing stator current harmonics when the asynchronous machine is fed by PWM inverter is introduced. A distortion factor in proportion to the total stator current harmonic distortion is selected for solving the problem. A subsection synchronization modulation...
In real-time multiprocessor systems, admission control must respond to the requests of tasks quickly, otherwise some requests have to be rejected even if there are enough resources to meet the requirements of tasks running. Real-time task scheduling in multiprocessor systems has been proved to be NP-hard problems. Genetic algorithms (GAs) are known as a class of effective tools to solve NP problems,...
The increasing importance and complexity of STLF necessitates more accurate load forecast methods. A novel genetic algorithm (GA) based support vector machine (SVM) forecasting model with determinstic annealing (DA) clustering is presented in this paper. For NN forecasting, too many training data may lead to long training time and slow convergent speed. First deterministic annealing (DA)for load data...
In an earlier EPRI project, the authors employed a knowledge-based system (KBS) to develop a tool to guide system operators to restart generators after a blackout. In this paper, the authors convert the KBS formulation into a Mixed Integer Quadratically Constrained Program (MIQCP) problem. Taking advantage of the quasiconcave property of the generation ramping curves, an algorithm to solve the generator...
Genetic algorithm (GA) is one of the most effective methods to solve combination optimal problem of machine scheduling. The aspect application of GA is limited because limitations of itself. The paper purposes an improved GA with self adaptation selection of crossover probability and mutation probability, and non-equiprobability selection of crossover sites through analyzing the limitation of rareripe...
Compared to traditional L filter, a LCL filter is more effective on reducing harmonic distortion at switch frequency. So it is important to choose the LCL filter parameters to achieve good filtering effect. This paper introduces some traditional design methods. Design of a LCL filter by genetic algorithm (GA) and particle swam optimization (PSO) are presented in this paper and comparison of the two...
Genetic algorithms (GAs) have been well applied in solving scheduling problems and their performance advantages have also been recognized. However, practitioners are often troubled by parameters setting when they are tuning GAs. Population Size (PS) has been shown to greatly affect the efficiency of GAs. Although some population sizing models exist in the literature, reasonable population sizing for...
With the development of electricity market reformation in China, it is especially important to evaluate the competition competence of power generating enterprises. Based on the characteristics of their, this paper bring forwards an index system to evaluate the competition competence of power generating enterprises. SVMs are widely used in load forecasting and bioinformatics systems. Conventional methods...
The paper adopts rough set reduction algorithm to reduce the influence factors of power plant selection and eliminate the uncorrelated attribution, through which we can obtain typical samples. After this, adopting fuzzy method to calculate the membership degree of the typical samples, which are looked on as the input of BP Neural Network and the expert values are as the expected output to train the...
Price is the key index to evaluate the market competition efficiency and reflects the operation condition of electricity market for electricity market decision-making. This paper illustrates the characteristics and methods of the electricity price forecast. In this article, we forecast electricity spot prices at a daily frequency based on one new classification techniques: genetic algorithm improved...
In a practical computational grid system, task scheduling in local resource management normally is affected by the arrival rate of tasks and the sizes of tasks, that is, the scheduler must deal with the dynamic task flow. On the long-term viewpoint it is necessary and possible to improve the performance of the scheduler serving the dynamic task flow. In this paper we developed a scheduling strategy...
The planning problem of electrical distribution, stated as a mixed, large scale and nonlinear optimization problem, is important in power planning. Ant colony algorithm as a new general-purpose meta-heuristic one has a good application to distribution network optimization. But the original ant colony algorithm has problems such as training inefficiency and easily falling into the local optimal minimum...
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.