The Research Of Cooperate Search Method Of Swarm Robots Based On Improved Bacteria Foraging Optimization

In recent years,with the occurrence of disasters such as "September 11" and Wenchuan earthquake,the need for robots that can work long hours in hazardous environments is becoming more and more obvious.These robots can replace human beings with tedious search and rescue missions in extreme environments such as high temperature,low temperature,toxic pollution,high pressure and strong radiation,so as to reduce the second harm caused by disasters to humans.At the same time,in recent years,along with the popularity of the Internet,a wide range of application of electronic computers,the development of robot technology is rapid,the extension of the application domain from manufacturing to the manufacturing industry,intelligent robot into everyone's vision to complete simple learning in everyday life work has become a trend.Although the single robot can do some simple work,but the multi-robot system has the advantages of many individual robots do not have such as simple structure,flexible operation,shape is petite,strong operability,etc.And the system of a single robot can independently accomplish a task,to obtain more comprehensive environmental information,so in comparison multi-robot system is more efficient to complete the task,the stability is strong,to complete the task complexity is high,the information transfer speed,accurate positioning information.Based on the above advantages,the researchers are paying more and more attention to the multi-robot system,and the research is more and more in-depth,and its application in various fields is more extensive.With the continuous deepening of the research on biological research,the bionic intelligent algorithm proposed by simulating the behavior of biological groups in nature has been widely used.This article is mainly aimed at the complex dangerous environment,the group of machines search application in toxic harmful gas/source search,search and rescue after a disaster,counter-terrorism eod situations,study thenew biological heuristic swarm intelligence algorithm-bacteria foraging optimization algorithm in search on the issue of group robot system,set up based on the distribution of the Levy chemotactic step length,according to the low convergence speed in the process of searching the shortcomings to improve design based on bacterial foraging optimization algorithm,makes the group of robots in precise and fast search task.Finally,the design of robot task search simulation system,experiments on the simulation system,to verify the effectiveness of the model and algorithm,realization of multi-robot task to search the entire process,and the bacteria foraging optimization algorithm based on improved target search results and target search results based on particle swarm optimization(pso)algorithm,comparing with the results based on hybrid algorithm of target search,in this paper,the proposed method is proven to be feasible and search effect is better..