A Improved Particle Swarm Optimization Algorithm for the Application with Boundary-Layer Problems of Power-Law Fluids

Abstract:

In fluid mechanics, how to solve power-law fluids in ordinary differential equations is always a concerned and difficult problem. we use generally a shooting method to tackle the boundary-layer problems under a suction/injection as well as a reverse flow boundary conditions. A improved particle swarm optimization algorithm (ISPO) is proposed for solving the parameter estimation problems of the multiple solutions in fluid mechanics. This algorithm has improved greatly in precision and the success rate. In this paper, multiple solutions can be found through changing accuracy and search coverage and multi-iterations of computer. Parameter estimation problems of the multiple solutions of ordinary differential equations are calculated, and the result has great accuracy and this method is practical.

• Periodical: Applied Mechanics and Materials (Volume 526)
• Pages: 139-144
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.526.139
• Online since: February 2014
• Authors: Jian Hui Zhou, Li Xi Yue, Yan Nan Lu
• Keywords: Boundary-Layer Problems, Ordinary Differential Equations, Parameter Estimation, Particle Swarm Optimization Algorithm

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