Predator-Prey Behavior Firefly Algorithm for Solving 2-Chlorophenol Reaction Kinetics Equation

摘要

2-Chlorophenol is a kind of representative organic waste water. With the environmental pollution becoming increasingly serious, and the large amount of waste discharged and the increasing difficulty of treatment, the research on the kinetics of the oxidation of supercritical water of 2-chlorophenol has important significant. Aiming at the phenomenon that the Glowworm Swarm Optimization (GSO) algorithm has slow convergence, low precision and easy to get trapped into local optimum, this paper presents an improved version of the GSO based on the behavior of predator-prey and biological predator, and we call it dual population Glowworm Swarm Optimization (GSOPP). The algorithm accelerates the convergence speed by introducing strategies such as chase and escape and variation among populations, and can obtain a more accurate solution. Tested by three standard test functions, the results showed that the improved GSOPP algorithm had better performance than the basic GSO algorithm. Finally, the algorithm was applied to estimate the parameter estimation of the supercritical water oxidation kinetics of 2-chlorophenol, and satisfactory results were obtained.