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.
The paper presents optimal control modeling study for energy-saving of belt conveyor system. Given the transport operations process of bulk terminals, belt conveyor is studied. Firstly, based on the simplified energy calculation model of the belt conveyor, an objective optimization model with the aim to improve transport efficiency and reduce transportation energy consumption is established. In the...
Given the pose adjustment and path planning of the welding mobile robot during seam tracking process, mobile welding robot and welding torch are studied. Kinematics modeling of the mobile welding robot is established, which is constrained with the slider moving area, welding torch length and so on. And then, physical System is designed and multi-objective optimization model is presented with the aims...
In this paper, a grouping genetic algorithm based approach is proposed for dividing stocks into groups and mining a set of stock portfolios, namely group stock portfolio. Each chromosome consists of three parts. Grouping and stock parts are used to indicate how to divide stocks into groups. Stock portfolio part is used to represent the purchased stocks and their purchased units. The fitness of each...
Since various objective functions should be considered for optimizing the portfolio, this study proposes a multi-objective genetic portfolio optimization approach with user's requests for deriving Pareto solutions. The two objective functions used in this study are return on investment and suitability of a portfolio. The suitability of a chromosome consists of a portfolio penalty and an investment...
In recent years there is a growing interest in the research of applying genetic algorithms (GAs) for dynamic optimization problems (DOPs), and several approaches have developed to deal with DOPs. Cloud model is a model of transforming a qualitative concept to a set of quantitative numerical values. A new hybrid genetic algorithm based on cloud model is proposed in this paper, cloud model is used to...
This paper proposes a predator-prey cellular genetic algorithm to solving dynamic optimization problems. A predator-prey model replaces the evolution rule in regular cellular genetic algorithm, which is more similar to the evolution scheme in real world. It contains two different populations: predator and prey, both of them are dynamic changes with predatory operation. The predators and preys are...
In this paper, we adopt a more sophisticated multi-objective approach, SPEA2, to find appropriate sets of membership functions for fuzzy data mining. Two objective functions are used to find the Pareto front. The first one is to minimize the suitability of membership functions and the second one is to maximize the total number of large 1-itemsets. An experimental comparison with the previous approach...
In large network environments multiple intrusion detection sensors are needed to adequately monitor network traffic. However, deploying and managing additional sensors on a large network can be a demanding task, and organizations have to balance their desire for detecting intrusions throughout their network with financial and staffing limitations. This paper investigates how intrusion detection system...
Enlightened by the analysis method of modern anthropology for sociogroup, the ethnic group evolution algorithm (EGEA)*, whose population is formed of several ethnic groups, is proposed. The ethnic group is a kind of clustering form for individuals, and represents the possible evolution trends, which are implicit in population. In EGEA, ethnic groups are used as the competition and generation unit...
In this paper, we propose a multi-objective genetic-fuzzy mining algorithm for extracting both membership functions and association rules from quantitative transactions. Two objective functions are used to find the Pareto front. The first one is the suitability of membership functions. It consists of two factors, coverage factor and overlap factor, to avoid two bad types of membership functions. The...
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.