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Titlebook: Intelligent and Evolutionary Systems; The 20th Asia Pacifi George Leu,Hemant Kumar Singh,Saber Elsayed Conference proceedings 2017 The Edit

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樓主: 變成小松鼠
21#
發(fā)表于 2025-3-25 04:23:34 | 只看該作者
of the concepts, and objective questions to help students prepare for competitive examinations.? ?.This book serves as an undergraduate textbook, it can be used for individual study, and it can also be used as978-981-99-6751-3978-981-99-6752-0
22#
發(fā)表于 2025-3-25 09:36:48 | 只看該作者
Yuyu Liang,Mengjie Zhang,Will N. Brownely deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the man978-1-4419-9889-7978-1-4419-9890-3Series ISSN 2197-5736 Series E-ISSN 2197-5744
23#
發(fā)表于 2025-3-25 14:34:39 | 只看該作者
2363-6084 future of human kind...This book captures this unprecedented evolution of the field of intelligent systems, presenting a compilation of studies that covers all research directions in the field over the last tw978-3-319-84076-5978-3-319-49049-6Series ISSN 2363-6084 Series E-ISSN 2363-6092
24#
發(fā)表于 2025-3-25 18:39:35 | 只看該作者
25#
發(fā)表于 2025-3-25 22:01:41 | 只看該作者
26#
發(fā)表于 2025-3-26 00:36:46 | 只看該作者
Ripon K. Chakrabortty,Ruhul A. Sarker,Daryl L. Essam
27#
發(fā)表于 2025-3-26 06:30:38 | 只看該作者
Estimation of Distribution Algorithms with Graph Kernels for Graphs with Node Types, this paper, we extend the EDA-GK to cope with graphs with node types. In order to achieve this, the histogram in the kernel density estimation function is separated into several sub-histograms for modes of inter-types, and for nodes of each type. Experimental results on the Edge-Max problems show the effectiveness of the proposed method.
28#
發(fā)表于 2025-3-26 08:29:36 | 只看該作者
29#
發(fā)表于 2025-3-26 12:58:52 | 只看該作者
30#
發(fā)表于 2025-3-26 19:12:21 | 只看該作者
Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Apprcts with reasonable computational burden. The influence of the variation of resource distribution and resource contention on the algorithm’s performance for different priority rules is also analyzed and discussed.
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