文献类型：期刊文献

英文题名：Activated sludge model parameters calibration based on multi-objective PSO

作者：Wang, R.R.[1]; Cao, L.L.[1]; Liu, M.D.[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, China

年份：2015

起止页码：133

外文期刊名：Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014

收录：EI(收录号：20171403536938)

语种：英文

外文关键词：Calibration - Particle swarm optimization (PSO) - Multiobjective optimization

摘要：The model of an Orbal oxidation ditch activated sludge process was set up based on ASM3 and Takacs’s double index settlement rate of secondary sedimentation tank model in this paper. According to the condition of the multi-objective output simulation model, multi-objective particle swarm optimization algorithm (MOPSO) is used to calibrate part of the high sensitivity parameters in the activated sludge process model. Simulation results show that the effectiveness of MOPSO for parameter calibration is obvious, which can further improve the accuracy of the model. ? 2015 Taylor & Francis Group, London.