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Titlebook: Bio-inspired Computing: Theories and Applications; 13th International C Jianyong Qiao,Xinchao Zhao,Shanguo Huang Conference proceedings 201

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樓主: Exaltation
41#
發(fā)表于 2025-3-28 17:58:52 | 只看該作者
From Reformation to Reconstruction,ing environment and marine ecology. The study of its safety of offshore platform in complex and extreme environments is a research spotlight in ocean engineering area. In addition to the normal work load and environmental load, the ocean platform is also threatened by accidental load, such as the co
42#
發(fā)表于 2025-3-28 19:17:49 | 只看該作者
Kunst, Kunstgewerbe und Industrie,o bad weather, such that it is significant to study the bus vehicle scheduling problem under traffic congestion caused by bad weather. In this paper, a dynamic bus vehicle scheduling approach is proposed, which consists of two parts: (1) generate a set of candidate vehicle blocks once the road is bl
43#
發(fā)表于 2025-3-28 23:10:29 | 只看該作者
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發(fā)表于 2025-3-29 05:37:17 | 只看該作者
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發(fā)表于 2025-3-29 10:20:58 | 只看該作者
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發(fā)表于 2025-3-29 15:06:34 | 只看該作者
Foreign Policy as an Election Issuer can be difficult. For this problem which is proved NP-hard, heuristic algorithms are effective to obtain preferable solutions within limited computational time. When solving discrete optimization problems, particles are very susceptible to local optimum in Standard Particle Swarm Optimization (SPS
47#
發(fā)表于 2025-3-29 17:54:25 | 只看該作者
https://doi.org/10.1007/978-981-13-2829-9artificial intelligence; authentification; data security; differential evolution; evolutionary algorithm
48#
發(fā)表于 2025-3-29 20:01:21 | 只看該作者
978-981-13-2828-2Springer Nature Singapore Pte Ltd. 2018
49#
發(fā)表于 2025-3-30 02:24:25 | 只看該作者
50#
發(fā)表于 2025-3-30 06:31:00 | 只看該作者
Jacek Malinowski,Rafa? Palczewskissibility not to participate in the learning process, which can help accelerate convergence speed and avoid premature. Computational results show that both DHS and IDHS can search the optimal solution for small and medium scale instances with limited time, but IDHS is more effective in solving large
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