Title
Innovative Genetic Algorithmic Approach to Select Potential Patches Enclosing Real and Complex Zeros of Nonlinear Equation
Abstract
AbstractIn this article, an innovative Genetic Algorithm is proposed to find potential patches enclosing roots of real valued function f:Râ R. As roots of f can be real as well as complex, the function is reframed on to complex plane by writing it as fz. Thus, the problem now is transformed to finding potential patches rectangles in C enclosing z such that fz=0, which is resolved into two components as real and imaginary parts. The proposed GA generates two random populations of real numbers for the real and imaginary parts in the given regions of interest and no other initial guesses are needed. This is the prominent advantage of the method in contrast to various other methods. Additionally, the proposed 'Refinement technique' aids in the exhaustive coverage of potential patches enclosing roots and reinforces the selected potential rectangles to be narrow, resulting in significant search space reduction. The method works efficiently even when the roots are closely packed. A set of benchmark functions are presented and the results show the effectiveness and robustness of the new method.
Year
DOI
Venue
2017
10.4018/IJNCR.2017070102
Periodicals
Field
DocType
Volume
Mathematical optimization,Nonlinear system,Computer science
Journal
6
Issue
ISSN
Citations 
2
1947-928X
0
PageRank 
References 
Authors
0.34
6
3