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- W2357142092 abstract "Auto generating a test paper from a test database,which satisfies multiple requirements is a combinatorial optimization problem.The characteristics of some existing algorithms of auto generating a test paper is investigated and using a real code based simulating annealing genetic algorithm to address this problem is proposed.In order to adjust each individual of the group and improve the performance of a single genetic algorithm,the proposed algorithm combines the genetic algorithm with the simulating annealing method.Compared with the existing genetic algorithms,the proposed algorithm overcomes the premature convergence phenomenon more easily and it im-proves the success rate and the efficiency of auto generating a test paper as well." @default.
- W2357142092 created "2016-06-24" @default.
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- W2357142092 date "2010-01-01" @default.
- W2357142092 modified "2023-09-24" @default.
- W2357142092 title "Research and Implementation on Composition Papers System Based on Improved Genetic Algorithms" @default.
- W2357142092 hasPublicationYear "2010" @default.
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