Titlebook: Computational Intelligence and Intelligent Systems; 10th International S Hu Peng,Changshou Deng,Yong Liu Conference proceedings 2019 Spring

HEDGE

,ICF — Ein Denkmodell mit System,he Uniform Local Search Artificial Bee Colony (UGABC) algorithm has been proposed in this paper. The algorithm greatly improves the exploitation ability. For the purpose of comparison, we used four algorithms to experiment. The experimental results show that the UGABC has the best accuracy and the fastest convergence rate among four algorithms.

和谐

Claudia Ochsenkühn,Monika M. Thielis changed) and the fluorescence colors are quenching. The biological expectation results show that the model can not only judge the false and true states of the four valued logic AND gate, other states in four-valued logic AND gate can also be well displayed by the long strand length changed and fluorescence quenching.

BULLY

jaunty

留恋

A Computing Model for Four-Valued Logic AND Gate Based on DNA Origami and DNA Displacementis changed) and the fluorescence colors are quenching. The biological expectation results show that the model can not only judge the false and true states of the four valued logic AND gate, other states in four-valued logic AND gate can also be well displayed by the long strand length changed and fluorescence quenching.

旋转一周

Causes of the Imbalance Between Exploration and Exploitation in Evolutionary Computationd. In this paper, we observe the changing trend of genotype diversity in runs, which cannot obtain the optimal, of different EAs. Then, we illustrate the main cause of the imbalance between exploration and exploitation in different situations.

高度

Galactogogue

AXIOM

https://doi.org/10.1007/b137545mental results show that NMEABC is superior to the original multi-strategy ensemble ABC (MEABC). Finally, NMEABC is applied to predict the water demand in Nanchang city. Simulation results demonstrate that NMEABC can achieve a good prediction accuracy.

摇曳的微光

Stottern bei Kindern und Jugendlichenon algorithm is applied to solve the subsections to improve the precision accuracy of the global optimal solution. The experimental results show that the algorithm is more precision accuracy than the basic ant colony algorithms in the solution of the typical traveling salesman problem.