A Novel Differential Evolution Invasive Weed Optimization Algorithm for Solving Nonlinear Equations Systems
Joint Authors
Zhou, Yongquan
Chen, Huan
Luo, Qifang
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-25
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In view of the traditional numerical method to solve the nonlinear equations exist is sensitive to initial value and the higher accuracy of defects.
This paper presents an invasive weed optimization (IWO) algorithm which has population diversity with the heuristic global search of differential evolution (DE) algorithm.
In the iterative process, the global exploration ability of invasive weed optimization algorithm provides effective search area for differential evolution; at the same time, the heuristic search ability of differential evolution algorithm provides a reliable guide for invasive weed optimization.
Based on the test of several typical nonlinear equations and a circle packing problem, the results show that the differential evolution invasive weed optimization (DEIWO) algorithm has a higher accuracy and speed of convergence, which is an efficient and feasible algorithm for solving nonlinear systems of equations.
American Psychological Association (APA)
Zhou, Yongquan& Luo, Qifang& Chen, Huan. 2013. A Novel Differential Evolution Invasive Weed Optimization Algorithm for Solving Nonlinear Equations Systems. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-496340
Modern Language Association (MLA)
Zhou, Yongquan…[et al.]. A Novel Differential Evolution Invasive Weed Optimization Algorithm for Solving Nonlinear Equations Systems. Journal of Applied Mathematics No. 2013 (2013), pp.1-18.
https://search.emarefa.net/detail/BIM-496340
American Medical Association (AMA)
Zhou, Yongquan& Luo, Qifang& Chen, Huan. A Novel Differential Evolution Invasive Weed Optimization Algorithm for Solving Nonlinear Equations Systems. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-496340
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496340