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Titlebook: Advances in Swarm Intelligence; First International Ying Tan,Yuhui Shi,Kay Chen Tan Conference proceedings 2010 The Editor(s) (if applicab

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發(fā)表于 2025-3-28 15:05:00 | 只看該作者
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發(fā)表于 2025-3-29 03:54:01 | 只看該作者
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發(fā)表于 2025-3-29 10:51:57 | 只看該作者
Conference proceedings 2010010) held in Beijing, the capital of China, during June 12-15, 2010. ICSI 2010 was the ?rst gathering in the world for researchers working on all aspects of swarm intelligence, and providedan academic forum for the participants to disseminate theirnewresearch?ndingsanddiscussemergingareasofresearch.
46#
發(fā)表于 2025-3-29 14:20:38 | 只看該作者
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發(fā)表于 2025-3-29 15:36:11 | 只看該作者
https://doi.org/10.1007/978-981-16-1063-9ves of searching swarm. Some typical functions are selected to do the simulation tests. The function simulation tests showed that the three behavior rules are indispensability and endow the ASSA with powerful global optimization ability together.
48#
發(fā)表于 2025-3-29 22:55:59 | 只看該作者
Towards a Rational Bioenergy Policy Concept,icle swarm optimization. Thus a new particle swarm optimization algorithm is proposed. Numerical experiments show that its computing time is short and its global search capability is powerful as well as its computing accuracy is high in compared with the basic PSO.
49#
發(fā)表于 2025-3-30 00:44:29 | 只看該作者
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發(fā)表于 2025-3-30 06:12:48 | 只看該作者
On the Farther Analysis of Performance of the Artificial Searching Swarm Algorithmves of searching swarm. Some typical functions are selected to do the simulation tests. The function simulation tests showed that the three behavior rules are indispensability and endow the ASSA with powerful global optimization ability together.
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