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Titlebook: Advanced Intelligent Computing Theories and Applications; 7th International Co De-Shuang Huang,Yong Gan,M. Michael Gromiha Conference proce

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Zeugen vor Gericht und Zeugen in der Kunsth strategy based on critical path is designed to enhance the exploitation ability. Finally, numerical simulation is carried out based on the benchmark instances, and the comparisons with some existing algorithms demonstrate the effectiveness of the proposed algorithm.
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Kriminalität in Literatur und Medienle, the .-nearest candidate set is used when selecting city ... We evaluate the proposed operator based on standard TSP test problems selected from TSPLIB and show that the proposed operator performs better than the Basic Inver-over operator and other operator in terms of solution quality and computational effort.
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https://doi.org/10.1007/978-3-662-06042-1tion strategy. At the same time, an effective local search is embedded .Computational results demonstrate that the proposed DHS algorithm is very effectiveness for the lot-streaming flowshop scheduling problem.
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Beziehungen in der Jugendarbeitddition, a local search approach based on insertion operator is embedded to improve the efficiency of the MDHS algorithm. Through the analysis of computational results, the proposed algorithm is superior to NEH heuristic algorithm.
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https://doi.org/10.1007/978-3-662-29293-8f a popular shape matching method named Inner-Distance Shape Contexts (IDSC), and then we use the Locally Constrained Diffusion Process (LCDP) to further enhance the performance. This combination achieves a retrieval rate of 98.53%, which is the state-of-the-art performance on MPEG-7 dataset.
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https://doi.org/10.1007/978-3-662-26586-4ne or somewhat unclear. This paper offers a solution by decomposing the problems in an unnatural way, which implements a blind decomposition. Our primary analysis indicates that the blind decomposition is feasible. We also provide some basic advice on how to implement the blind decomposition in combination with different collaboration methods.
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Advanced Intelligent Computing Theories and Applications978-3-642-25944-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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