A Modified Differential Algorithm with Pitch Adjustment for Numerical Optimization

Author

Zhang, Ping ; Shan, Xiaoyou ; Gu, Wu

Author_Institution

Anshan Normal Univ., Anshan, China

fYear

2012

fDate

July 31 2012-Aug. 2 2012

Firstpage

81

Lastpage

84

Abstract

In this paper, A Modified Differential Algorithm (MDE) developed to solve unconstrained problems. The MDE algorithm use pitch adjustment replaces the traditional mutation operation and design a dynamic method to adjust the crossover rate (CR). The former can enhance the convergence of the MDE, and the latter can effectively prevent the MDE from being trapped into the local optimum. Based on several benchmark experiments, the MDE has demonstrated stronger convergence and stability than original differential (DE) algorithm and its two improved algorithms (JADE and SaDE).

Keywords

convergence of numerical methods; optimisation; MDE convergence; benchmark experiments; crossover rate; dynamic method; modified differential algorithm; mutation operation; numerical optimization; pitch adjustment; unconstrained problems; Algorithm design and analysis; Convergence; Heuristic algorithms; Optimization; Particle swarm optimization; Sociology; Vectors; Modified differential algorithm; convergence Introduction; dynamic method; pitch adjustment;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on

Conference_Location

GuiLin

Print_ISBN

978-1-4673-2217-1

Type

conf

DOI

10.1109/ICDMA.2012.19

Filename

6298259