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Research and Implementation for Maintenance Goal-Oriented Requirement Analysis Method

Author: DiLinLin
Tutor: YaoQing
School: Shandong University
Course: Applied Computer Technology
Keywords: Target analysis techniques Genetic Algorithms Target acquisition Target library self-learning Individuation
CLC: TP311.52
Type: Master's thesis
Year: 2010
Downloads: 51
Quote: 3
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Abstract


Information technology, network technology and communication technology-based e-commerce environment, the rapid development of the information society makes increasingly large number of tourist information resources that often no way in the face of massive tourist information on the area of ??travel and tourist routes in a dilemma. With the concept of the passenger's travel has become more sophisticated and rational, travel mode transition from previous years, emphasis on group travel Walks travelers on the quality of tourism products have become increasingly demanding, self-awareness and selective travel increasingly more, travel more personalized features. The fixed information services provided by the various tourist sites can not meet the demand of tourists, therefore, enables travelers the independent to select attractions discretionary travel time travel information system has become the focus of the study. To solve the above problem, this paper based on objective analysis techniques to establish mapping between the needs and goals of the tourists, and classify targets in the field of tourism, given the target model and storage structures; According to the basic idea of ??the genetic algorithm, the basic principles and design method combined with this subject content, design the customer tours algorithm based on genetic algorithm. The algorithm consists of two sub-algorithms: Customer demand for target acquisition algorithm and tours algorithm. First, according to the customer's constraints, constraints objectives and goals of the relationship in the database to find and extract the target, and then by the genetic algorithm to generate customer demand travel plans. Explore genetic algorithms and machine learning theory and methods based on genetic algorithm is applied to the self-learning knowledge base research which, given a target library self-learning algorithm; run the the algorithm optimization hardy target, and added to the target library, updated and optimized to achieve the target library. By using Java, Microsoft SQL Server 2000 technologies such as database design and travel routes, and according to the characteristics of the customer's design customers the most familiar, convenient and friendly personalized interface. Target model and the target structure can well reflect customer demand, to obtain tourist routes operator and parameter settings for basic genetic algorithm to meet customer demand, personalized friendly interface to enhance the satisfaction of the users of the platform. Therefore, the the tourists travel circuit design problem with the reference value in the areas of research and development of the travel agent platform has a strong practical significance. Of course, the relevant parameters of the genetic algorithm there is room for improvement, how to maximize the performance of the algorithm need to be further studied.

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