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全部生成树的组合生成法 被引量:2
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作者 胡茂林 蔺勇 《陕西科技大学学报(自然科学版)》 2004年第1期124-126,共3页
利用连通图的增广关联矩阵,给出了求连通图的全部互异的生成树的一种简单、快捷的算法。
关键词 连通图 增广关联矩阵 生成 组合生成法
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A NEW ALGORITHM FOR ALL EFFICIENT SPANNING TREES
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作者 倪勤 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 1997年第1期32-36,共5页
In Corley′s algorithm for all efficient spanning trees, final solutions include many spanning trees, which are not all efficient. In this paper, a new algorithm is presented, which corrects and modifies Corley′s alg... In Corley′s algorithm for all efficient spanning trees, final solutions include many spanning trees, which are not all efficient. In this paper, a new algorithm is presented, which corrects and modifies Corley′s algorithm. A necessary condition is developed for the subtree of an efficient spanning tree. According to the condition the new algorithm is established and its efficiency is proved. 展开更多
关键词 combinatorial programming ALGORITHMS Pareto optimal efficient spanning tree
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The structure-based multi-fault test generation algorithm for combinational circuit
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作者 商庆华 吴丽华 项傅佳 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2006年第4期452-454,共3页
In this paper the structure-based test generation algorithm has been studied for the problem that test patterns are obtained by determined finite faults set in the past. This Algorithm can find out all test patterns o... In this paper the structure-based test generation algorithm has been studied for the problem that test patterns are obtained by determined finite faults set in the past. This Algorithm can find out all test patterns one tithe, so faults detection is very convenient. By simulation, the smallest test patterns set can be obtained and faults coverage rate is 100%. 展开更多
关键词 combinational circuit test generation the smallest test patterns set
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Research of the test generation algorithm based on search state dominance for combinational circuit
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作者 吴丽华 俞红娟 +1 位作者 王轸 马怀俭 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2006年第1期62-64,共3页
On the basis of EST (Equivalent STate hashing) algorithm, this paper researches a kind of test generation algorithm based on search state dominance for combinational circuit. According to the dominance relation of the... On the basis of EST (Equivalent STate hashing) algorithm, this paper researches a kind of test generation algorithm based on search state dominance for combinational circuit. According to the dominance relation of the E-frontier (evaluation frontier), we can prove that this algorithm can terminate unnecessary searching step of test pattern earlier than the EST algorithm through some examples, so this algorithm can reduce the time of test generation. The test patterns calculated can detect faults given through simulation. 展开更多
关键词 E-frontier test generation combinational circuit
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A new approach to test generation for combinational circuits
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作者 赵春晖 侯艳丽 +1 位作者 胡佳伟 兰海燕 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2009年第1期61-65,共5页
Aimed at the generation of high-quality test set in the shortest possible time, the test generation for combinational circuits (CC) based on the chaotic particle swarm optimization (CPSO) algorithm is presented ac... Aimed at the generation of high-quality test set in the shortest possible time, the test generation for combinational circuits (CC) based on the chaotic particle swarm optimization (CPSO) algorithm is presented according to the analysis of existent problems of CC test generation, and an appropriate CPSO algorithm model has been constructed. With the help of fault simulator, the test set of ISCAS' 85 benchmark CC is generated using the CPSO, and some techniques are introduced such as half-random generation, and simulation of undetected fauhs.with original test vector, and inverse test vector. Experimental results show that this algorithm can generate the same fault coverage and small-size test set in short time compared with other known similar methods, which proves that the proposed method is applicable and effective. 展开更多
关键词 test generation combinational circuits: particle swarm ootimization: chaotic ontimization
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