Powell-Based Bat Algorithm for Solving Nonlinear Equations

As the bat algorithm (BA) has defects such as slow convergence and poor calculation precision, it is likely to result in local extremum, and Powell algorithm (PA) is sensitive to the initial value. To resolve the above defects, advantages and disadvantages of PA and bat algorithm are combined in thi...

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Bibliographic Details
Published inIntelligent Computing Methodologies Vol. 10956; pp. 840 - 845
Main Authors Ge, Gengyu, Pu, Yuanyuan, Zhang, Jiyuan, Ouyang, Aijia
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Bat algorithm
Hybrid algorithm
Nonlinear equations
Optimization
Powell algorithm
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ISBN3319959565
9783319959566
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-95957-3_90

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Summary:As the bat algorithm (BA) has defects such as slow convergence and poor calculation precision, it is likely to result in local extremum, and Powell algorithm (PA) is sensitive to the initial value. To resolve the above defects, advantages and disadvantages of PA and bat algorithm are combined in this paper to solve nonlinear equations. The hybrid Powell bat algorithm (PBA) not only has strong overall search ability like bat algorithm, but also has fine local search ability like Powell algorithm. Experimental results show that the hybrid algorithm can be used to calculate solutions to various nonlinear equations with high precision and fast convergence. Thus, it can be considered a positive method to solve nonlinear equations.
ISBN:3319959565
9783319959566
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-95957-3_90