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Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2016 Springer International Publishi

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Kymberley K. Bennett,Jennifer L. Boothbyus search architectures. To this end, we employ a set of well-known benchmarks that share general features that may be present on most constraint satisfaction and optimization problems. We believe this information will be useful in order to design better autonomous search systems for constraint satisfaction.
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https://doi.org/10.1007/978-1-4757-9862-3 increase the diversity of the population. Then put forward the ABC-M-CS algorithm and use the thought of K-means to cluster UCI data. The experimental results on UCI data sets indicate that ABC-M-CS algorithm has the fastest convergence speed, highest accuracy and stability.
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Autonomous Search in Constraint Satisfaction via Black Hole: A Performance Evaluation Using Differenus search architectures. To this end, we employ a set of well-known benchmarks that share general features that may be present on most constraint satisfaction and optimization problems. We believe this information will be useful in order to design better autonomous search systems for constraint satisfaction.
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Fundamental Diagrams of Single-File Pedestrian Flow for Different Age Groupsod considering pedestrian free velocity and body size is used to scale the fundamental diagrams for different age groups. The study is helpful to understand evolution of pedestrian dynamics with different ages.
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