Implementation of Particle Swarm Optimization Algorithm for Optimizing Elliptic Cylinders in Formation

• Main Authors: Chen-WeiHsu, 許晨薇
• Other Authors: Shih-An Yang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/85230903681406019954

碩士 === 國立成功大學 === 系統及船舶機電工程學系碩博士班 === 101 === 　　This research uses the single objective particle swarm optimization (PSO) and multiobjective PSO (MOPSO) to implement the optimization for elliptic cylinders in formation in the two-dimesional laminar flow. We start from introducing PSO and MOPSO, and combine MOPSO with ANSYS FLUENT to calculate different formations. Finally we obtain an optimizing formation and also discuss the difference of results between the PSO and MOPSO. In the future, we will take this program to research the V-formation of birds. 　　The framewok of program is written in Microsoft Visual Studio 2008 C#, including PSO algorithm, changing the positons of elliptic cylinders, importing the files to ANSYS FLUENT and returning the data of forces back to PSO in order to correct the next calculation. 　　The main pupose to the research is to automate the optimizing framework of PSO, Rino and ANSYS FLUENT. To study different kinds of bodies, we only have to build an initial model in this program. If we obtain the formation of birds or ships, our research can use the optimizing formation to reduce drag force. We believe it can achieve decreasing fuel consumption in application of military or long-distance navigation.