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.
Compass alignment is an important solution for the initial alignment of strap-down inertial navigation system (SINS). Values of parameters in compass alignment circuit have a direct influence on the performance of alignment. The optimal parameters of alignment circuit differ from one SINS to another. Traditionally, these alignment parameters are mainly determined by experience and experiments that...
In multimodal optimization, maintaining population diversity is one of the most critical issues in genetic algorithm design. A number of niching techniques have been developed and successfully applied to cope with this problem. For multi-population based parallel genetic algorithms, nevertheless, these approaches are obviously inapplicable, since it is very difficult to obtain global information about...
Genetic algorithms (GA) has been extensively applied to address the shortcomings of gradient based leaning methods in training feedforward neural networks (NN). However, the complicated properties of NN training, such as context dependence problem between neurons and permutation problem of genetic representation, will cause difficulties in efficiently implementing conventional GAs. In the present...
Recently, both the non-uniform sampling scheme and economic statistical design approaches have been successfully applied to determine three parameters of X̅ control charts (including sample size, sampling interval between successive samples, and the control limits) for monitoring a manufacturing process with increasing hazard functions. Nevertheless, a primary assumption for these cost models is that...
In order to solve the problem which the heredity genes of the chromosomes are relatively more in the classical genetic algorithms, a new operator is put forward in this paper. The algorithm turns the group's character information into the information system which is used in the granular computing, and makes use of the conditional granularity entropy to reduce the genes when the value is larger relatively,...
A Class is not only a template of objects with the same data structure, but also it could be deployed as component and web service in J2EE and .Net platforms. Therefor, Class testing is the key to ensure the quality of a distributed application. Genetic algorithm(GA) has been used to generate test data for class testing. But it has some defects, for example, some individuals would be generated and...
How to realize the cognitive capability is a key point to realize the cognitive wireless network. The research of cognitive wireless network is still at the primary stage, even not having a unique, accepted network architecture and implementation method. The construction of knowledge base in cognitive wireless network based on network situation-aware in the paper is deeply investigated in unfixed...
As the second largest in the world, the Chinese automobile market has become more and more important for automakers. However, the competition pressure in this market is ever increasing. To keep profitable, the automobile companies must pay special attention to cost control. Since the procurement cost takes most part of the complete vehicle cost, reducing procurement cost was made the first choice...
For a container terminal system, efficient berth and quay crane (QC) schedules have great impact on the improvement of both operation efficiency and customer satisfaction. In this paper we address both berth and quay crane scheduling problems in a simultaneous way, with uncertainty of container handling time. The berth is of discrete type and vessels arrive dynamically with different service priorities...
It is necessary to select the proportion weights and study speeds in the design of single neuron PID controller, and in order to improve its performance, a method utilizing genetic algorithm to optimize these parameters of single neuron PID controller is presented. And some developed genetic algorithm methods are proposed, such as combining roulette wheel selection with elitist selection, using adaptive...
This article describes a way of designing a hybrid system for short-term load forecasting, integrating rough sets theory with fuzzy neural networks using a multi-objective genetic algorithm. The multi-objective genetic algorithm is used to automatically learn the knowledge of historical data and find the best factors that are relevant to electric loads. The concept of entropy is introduced to describe...
Based on the knowledge of historical data sets, a fuzzy rule-based classifier for electrical load pattern classification is set up. Considering with the accuracy and interpretation of fuzzy rules, multi-objective genetic algorithm are applied to choose the Pareto optimum rules that are used to classify electrical load. In the computation experiments, the generated fuzzy rule-based classifier is used...
One advantage of multi-objective genetic optimization algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their single run. In this paper, we proposed a fuzzy rule-based classifier for electrical load pattern classification by using multi-objective genetic algorithm and fuzzy association rule mining. Multi-objective genetic algorithm is used...
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.