Title: | Input Variant Particle Swarm Optimization for Solving Ordinary and Partial Differential Equations with Constraints |
Authors: | Mosa, Ahmad Haj Chedjou, Jean Chamberlain Ali, Mouhannad Kyamakya, Kyandoghere |
Citation: | ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-19-III-20. |
Issue Date: | 2013 |
Publisher: | University of West Bohemia |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://hdl.handle.net/11025/11490 |
ISBN: | 978-80-261-0246-5 |
Keywords: | numerické modelování;diferenciální rovnice |
Keywords in different language: | numerical modelling;differential equations |
Abstract: | In this paper, a novel method for solving ordinary and partial differential equations is presented. The proposed method gives a numerical solution based on an input variant particle swarm optimization; where each particle, has a dimension equal to the number of expected solutions. The proposed method also overcomes the problem of considering many constraints (initial and boundary conditions) for the solution.The main motivation of this paper, is to find a solver that is accurate, fast and can handle many constrains as well as many variables. This method is tested over many systems of ordinary and partial differential equations. Further, the proposed is compared with some leading state of the art techniques. |
Rights: | © University of West Bohemia |
Appears in Collections: | ISTET 2013 ISTET 2013 ISTET 2013 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Mosa_1.pdf | Plný text | 140,98 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11490
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.