Modeling And Simulation Of Group Behavior Of Desert Locust

It has been a long time to the disaster of desert locusts, and notorious of the locusts has been recorded in the history documents and classic. The researches of desert locusts' behavior are significant to solve the problems in agriculture and ecology fields. Collective behaviors of desert locusts are typical complex systems, the research on which should be guided by the complex science. Artificial life solution on the deficiency of the research to solve the desert locusts' group activities has opened up a new way for research on desert locusts group activities.Based on the CAS theory and artificial life method, a fundamental collective behavior of desert locust model is established. The model consists of environment, food agents, locust agents and interaction rules among agents or between agents and environment. The environment is two-dimensional discrete space where food and locust agents exist. By extracting and modeling the properties and behavior rules of desert locusts, the model tries to reflect the common comprehensive properties of collective behavior of desert locusts. The Java programming technology is used to implement the model on the Swarm simulation platform. The species, amounts and interaction rules of agents can be set conveniently to simulate desert locusts and food with different locusts' density. In addition, there are graphic user interface to control and setup simulation, and graphs to show the status or statistic data generated in simulation. Then simulation is conducted on the model to simulate different desert locusts' density, and the results show well some observations of real-life desert locusts.