Posts Tagged ‘Genetic Algorithm’:

Analysis of Product Mix of TV Channels Based on Genetic Algorithm

on May 22nd, 2013 by - Comments Off

Genetic Algorithm (GA) is an improvement of search optimal solution method on the Darwinian natural biological evolution. It simulates the survival of the fittest and biological mechanisms. It can automatically search space, automatic adjustment, and the search direction features of probability characteristic of optimal which have very good global optimal solution. Compared with other traditional

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Research and Practice on Test On-line System Based on Genetic Algorithm

With the rapid development of computer technology and internet technology, drive the distance education of booming development. Distance education is the education network technology in the development of the product of driving. Many education experts think distance education associations to become an inevitable trend in the development of future. On-line examination system in modern distance

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Reliability Calculation and Routing Research in Wireless Sensor Networks

The wireless sensor develops rapidly since its wide range of applications, low cost, low power consumption, and automated network management and high degree of coordination, and so on. With the deepening of the research on sensor network and the promotion of application, the reliability of sensor network and routing optimization technology have become the focus.This

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Research on Radio Resource Management for MIMO-OFDM Communication Systems

on May 7th, 2013 by - Comments Off

Mobile communication’s development requires high data transfer rate and highquality of service (QoS). So how to achieve higher spectrum efficiency and betterQos with the finite recourse and harsh wireless channel conditions is the keyproblem for the next generation mobile communication. MIMO and OFDM is thecore technology of the next generation mobile communication because of theirsuperior

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Application and Research of Fuzzy Clustering Mining Method Base on Genetic Algorithm

With information technology and database technology developing at very fast speed, information processing has become a indispensable tool for people to acquire useful message. Data mining is a generic knowledge discovery technology, it is a process of findingmodel and the relationship of the data in a large amount of data by analytical tools. Clustering analytical

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Design and Implementation of Flow Shop Production Schedule System

As the development of economy, market competition is becoming fiercer and fiercer.,To the manufacturing enterprises that want to win this competition, it is one of the key factors whether they can optimize the resource allocation to cut the product period and maximize the product. Most product activities are performed in workshops. As a result, it

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A Distributed Intrusion Detection Model Using BP Neural Network

With the rapid development of internet, computer network security issues become more and more serious. anti-virus software, firewall technology and intrusion detection technology for single host have been gradually revealed its limitations, especially for distributed intrusion. It has not met the needs of people to protect network security. Against this background and demand, the distributed

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Study on Coverage Strategy in Wireless Sensor Networks

Coverage technology is one of the most important filed on the wireless sensor networks. It refers to gain the greatest degree of monitoring through the controlling of nodes’ distribution and working condition. A good coverage control strategy can always use the lowest energy to obtain the most valid and sufficient information. Coverage has become one

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Support Vector Regression and Its Application Based on Intelligent Optimization Algorithm

The paper analyzes the performance of support vector regression (SVR) with various parameters which also have different influences and the shortcomings. In order to further improve the forecasting accuracy, aiming at the deficiency in the parameters selection of SVR, the selection of parameters is considered as a compound optimization problem in view of the integrative

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Parameter Identification Based on Improved Neural Networks in Cable-Stayed Bridge

During the construction of the cable-stayed bridge, the actural value of the structural parameters are always differed from the designed one. Because of the existence of this errors, the configuration and internal force of the constructed bridge will be biased with the designed state. However, with the restriction of the existing measuring method, some structural

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