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Titlebook: Advances in Intelligent Computing; International Confer De-Shuang Huang,Xiao-Ping Zhang,Guang-Bin Huang Conference proceedings 2005 Springe

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發(fā)表于 2025-3-23 12:05:07 | 只看該作者
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發(fā)表于 2025-3-24 03:08:53 | 只看該作者
,Applications of Lagrange’s Equations,drawback of this algorithm is that the “exponential curse” is hard to overcome, and therefore its application to large instance is limited. In this s paper, we present a DNA based evolutionary algorithm to solve this problem, which takes advantage of both the massive parallelism and the evolution st
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發(fā)表于 2025-3-24 10:32:07 | 只看該作者
Introduction to Fluid Dynamics,ules are used to encode k-degree vertices. Double stranded molecules are used to encode edges. These molecules are to be mixed in a test tube to be ligated. The reaction product can be detected by gel electrophoresis. The time complexity of the algorithm is .(..) , where . is the number of vertices
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發(fā)表于 2025-3-24 12:01:23 | 只看該作者
https://doi.org/10.1007/978-0-8176-4648-6made by using DNA operations. In this algorithm, each vertex and edge is encoded with a series of encodings incorporating position information, and the initial diverse candidate population is generated using POA. One crossover operator, two mutation operators, evaluation and selection operators are
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發(fā)表于 2025-3-24 17:10:20 | 只看該作者
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發(fā)表于 2025-3-24 22:26:05 | 只看該作者
Sketch of Lagrangian Formalism,blem is presented and its two solving algorithm, an improved greedy algorithm and a binary particle swarm optimization algorithm, are proposed to get the class covers with relatively even radii, which are used to partition fuzzy input space and extract fewer robust fuzzy IF-THEN rules. Meanwhile, a
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發(fā)表于 2025-3-25 00:12:58 | 只看該作者
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