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Palmprint identification is a subcategory of biometrics identification, which can be efficiently used to identify the people. Palmprint-based identification is currently a potential alternative to human identification method of a well known fingerprint-based identification. For example, if the hand of the identified person is dirty, the accuracy of fingerprint-based identification is distorted, while...
In this paper we propose an approach for test data generation using genetic algorithm. Our objective is to design a multi-population genetic algorithm using uniform crossover. In this paper we analyze the performance of proposed uniform crossover multi population genetic algorithm method with different combinations of factors that influence the test data generation strategy. For implementing multi-population...
In this paper we have used a real coded genetic algorithm for finding the global minimum energy conformation of two small molecules viz. Pseudoethane and 1,2,3-trichloro-l-fluoro-propane based on a potential function. Finding the global minimum of this function is very difficult because it has a large number of local minima, which grows exponentially with molecule size. Computational results are obtained...
In recent past a number of researchers have proposed strategies for finding test order during Integration testing of object oriented applications while minimizing the cost of stub creation. Some researchers have used graph-based approach while others have suggested solutions using genetic algorithms. This paper presents a survey of various graph-based strategies and genetic algorithm based strategies...
In this paper, first raised the possibility of such a tendency on services framework - a degree of dependence. The framework and support-confidence framework completely different. D database is the tendency of the incident and the extent of the incidents linked to the degree of measure contains rules. Comparatively speaking, more direct causal relationship between the events described, a more effective...
This paper introduces triangulation theory into genetic algorithm and with which, the optimization problem will be translated into a fixed point problem. An improved genetic algorithm is proposed by virtue of the concept of relative coordinates genetic coding, designs corresponding crossover and mutation operator. Through genetic algorithms to overcome the triangulation of the shortcomings of human...
This paper introduces triangulation theory into genetic algorithm and with which, the optimization problem will be translated into a fixed point problem. An improved genetic algorithm is proposed by virtue of the concept of relative coordinates genetic coding, designs corresponding crossover and mutation operator. Through genetic algorithms to overcome the triangulation of the shortcomings of human...
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