Ecological algorithm for optimal ordering used by collective honey bee behavior

In this paper, we describe the principle of intelligence generated with the collective cooperative behavior of social insects. The behavior of each insect does not appear to be intelligent observed with the population of insects. But, in the case of the insect population is accorded with simple co-operative rules, the behavior of the insect population is appeared to be intelligent. In order to elucidate this generation process of intelligence created with a co-operative rule into insect population, we propose the intelligence generation by behavior based on the rule modeled on a real insect behavior. In this research, we select honey bees as typically real social insects. By the rule extracted from the behavior of collective honey bees, we examine the algorithm construction and its computational simulation. From the results of simulation, we demonstrate the mechanism of intelligent generation used on transmission and selection of the information of honey collection of bees