束以马具 发表于 2025-3-25 03:21:02
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https://doi.org/10.1057/9781137395023dea of ant colony programming in which instead of a genetic algorithm an ant colony algorithm is applied to search for the program. The test results demonstrate that the proposed idea can be used with success to solve the approximation problems.性别 发表于 2025-3-25 13:46:20
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Democracy and Citizenship in ScandinaviaThis paper compares the performance of GAs and PSOs in evolving weights of a recurrent neural network. The algorithms are tested on multiple network topologies. Both algorithms produce successful networks. The GA is more successful evolving larger networks and the PSO is more successful on smaller networks.MILL 发表于 2025-3-26 02:48:27
Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural NetworThis paper compares the performance of GAs and PSOs in evolving weights of a recurrent neural network. The algorithms are tested on multiple network topologies. Both algorithms produce successful networks. The GA is more successful evolving larger networks and the PSO is more successful on smaller networks.勉励 发表于 2025-3-26 08:04:01
https://doi.org/10.1007/3-540-45105-6agents; algorithm; algorithms; evolution; evolutionary computation; genetic algorithm; genetic algorithms;SPASM 发表于 2025-3-26 09:18:24
978-3-540-40602-0Springer-Verlag Berlin Heidelberg 2003按时间顺序 发表于 2025-3-26 13:26:52
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0302-9743 Overview: 978-3-540-40602-0978-3-540-45105-1Series ISSN 0302-9743 Series E-ISSN 1611-3349