Research and Improvement of flora algorithm
|School||North China Electric Power University (Beijing)|
|Keywords||Flora algorithm ABFO Thermal Process Identification Swarm Intelligence|
Flora Optimization (BFO) is developed in recent years , based on foraging behavior of E. coli model of a new swarm intelligence algorithm . It is a simple and efficient stochastic global optimization technique . However, there are also basic BFO algorithm accuracy is not high enough , fast enough convergence shortcomings. In this paper, in order to solve the above problems, the underlying flora algorithm four behaviors were redefined and new concepts introduced to the algorithm, an improved optimization algorithm flora (ABFO). Finally, the improved optimization algorithm is applied to flora Thermal Process Identification and PID parameter identification among the simulation results fully demonstrated the feasibility and effectiveness of the algorithm .