Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...

Interbank offer rate is the interest at which banks lend money to each other in market. As a market-oriented core rate, Shibor can accurately and timely reflect capital supply demand relationship market, its changes will quickly transmit affect China’s financial Therefore, purpose of this paper predict study fluctuation trend Shibor. In paper, overnight varieties were studied predicted from two...

The artificial intelligence simulation with virtual humans in virtual environment is considered as a research focus after movement simulation in field of artificial intelligence and simulation with virtual human include affective model and influence of affection to movement planning of virtual human. It’s necessary to review on virtual human’s affective model and related applied algorithm. A* a...

In a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. Weeds represent 34% of the whole pests while insects, diseases and the deterioration of ag...

in distribution systems, in order to diminish power losses and keep voltage profiles within acceptable limits, network reconfiguration and capacitor placement are commonly used. in this paper, the hybrid shuffled frog leaping algorithm (hsfla) is used to optimize balanced and unbalanced radial distribution systems by means of a network reconfiguration and capacitor placement. high accuracy and ...

guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of intelligent transportation systems (its). nowadays, many complex systems can be controlled by using multi agent systems. adaptation with the current condition is an important feature of the agents. in this research, formulation of dynamic guidance for vehicles has been investigated based...