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Titlebook: Bio-inspired Computing – Theories and Applications; 11th International C Maoguo Gong,Linqiang Pan,Gexiang Zhang Conference proceedings 2016

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發(fā)表于 2025-3-21 16:57:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bio-inspired Computing – Theories and Applications
期刊簡稱11th International C
影響因子2023Maoguo Gong,Linqiang Pan,Gexiang Zhang
視頻videohttp://file.papertrans.cn/187/186385/186385.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Bio-inspired Computing – Theories and Applications; 11th International C Maoguo Gong,Linqiang Pan,Gexiang Zhang Conference proceedings 2016
影響因子The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi‘a(chǎn)n, China, in October 2016..The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on?DNA Computing;?Membrane Computing;?Neural Computing;?Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing;?Multi-objective Optimization;?Pattern Recognition; Others..
Pindex Conference proceedings 2016
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發(fā)表于 2025-3-21 22:41:44 | 只看該作者
Ensemble of Different Parameter Adaptation Techniques in Differential Evolutionod. To verify the performance of our proposal, the functions proposed in CEC 2005 are chosen as the test suite. Experimental results indicate that, on the whole, our proposed method is able to provide better results than the single parameter adaptation based differential evolution variants with resp
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發(fā)表于 2025-3-22 01:15:33 | 只看該作者
Research on Multimodal Optimization Algorithm for the Contamination Source Identification of City Wacuments. But it is a multimodal function optimization problem in essence and the number of its solution has non-uniqueness. This paper uses dynamic niching genetic algorithm and can calculate multiple contamination sources through one operation, which provides the possibility for screening the true
地板
發(fā)表于 2025-3-22 08:00:05 | 只看該作者
Study on Hybrid Intelligent Algorithm with Solving Pre-stack AVO Elastic Parameter Inversion Problemthm and prevent the algorithm from being trapped into local optimum by using simulated annealing algorithm. The Gardner relation is utilized to initialize population in order to make initialization of density correspond to the practical terrain conditions better and obviously improve the inversion a
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發(fā)表于 2025-3-22 08:59:19 | 只看該作者
Bio-inspired Computing – Theories and Applications11th International C
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發(fā)表于 2025-3-22 12:57:14 | 只看該作者
https://doi.org/10.1007/978-1-349-04847-2 can be optimized by FWA. Four different data sets have been employed in the experiments, and 70% samples are used as train sets while the rest are used as test sets. The results show that the label of test sets can be identified accurately by our new methods. This paper also shows that the optimiza
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發(fā)表于 2025-3-22 17:09:06 | 只看該作者
Jane Austen and the Theatre of War,od. To verify the performance of our proposal, the functions proposed in CEC 2005 are chosen as the test suite. Experimental results indicate that, on the whole, our proposed method is able to provide better results than the single parameter adaptation based differential evolution variants with resp
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Cross Currents in Religion and Culturethm and prevent the algorithm from being trapped into local optimum by using simulated annealing algorithm. The Gardner relation is utilized to initialize population in order to make initialization of density correspond to the practical terrain conditions better and obviously improve the inversion a
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發(fā)表于 2025-3-23 06:41:16 | 只看該作者
https://doi.org/10.1007/978-1-349-18432-3ce based similarity metrics can help clustering algorithms handle datasets with compact super-sphere distributions perfectly, but it is undesirable for the complex structural or irregular shaped datesets. Proper mapping function can map the data in original space to high-dimensional feature space, w
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