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Modeling And Simulation Based On Swarm Of Bees And Honey Food Behavior Of Simulating The Electromagnetic Mechanism

Posted on:2017-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y L DuFull Text:PDF
GTID:2310330509452878Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The research on swarm biology has always been a hot issue in the field of intelligence. However, human beings have a lack of understanding of the nature of group intelligence due to the limited cognitive level. so far there is still no clear understanding of the the inherent mechanism of swarm intelligence behavior emerge. What is the interaction and cooperation between the group and the individual in order to emerge out of the swarm intelligence? The complex,dynamic self organizing, self learning and adaptive process characteristics of the cluster are similar to the basic rules of natural physical system, this paper selects the methods of physics to simulate the colony foraging behavior, provide theoretical basis for the motion behavior of honeybee and enrich the swarm intelligence research methods.This paper studies the foraging behavior of a swarm in the case of single food source and multi food source. First of all, this paper studies the foraging process of bee colony, and draws out the basic elements which need essential study of the model; then establishes the mapping relationship between the basic elements and the electromagnetic mechanism, and establishes a perceptual model of foraging process by analyzing different roles and different states of bees in detail; and then analyzes the role changing process and the state transition process in the foraging process and analyzes the perception process,foraging process, recruitment process, return process, and follow up process emphatically; at last, analyzes the movement process of bees analyzed. In summary, this paper establishes the physical model of bee colony foraging.Finally, programming simulation experiments are carried out on the physical model of colony foraging through the use of Swarm software and Java language, realized the dynamic colony foraging process, and show the conversion of each state colony foraging process as well as the role of the situation, the experimental results show the model is feasible and effective.
Keywords/Search Tags:Swarm intelligence, Bee swarm behaviour, Electromagnetic mechanism, Finite state machine
PDF Full Text Request
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