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Complex algorithm network and its toplogy analysis: a case study.

Author(s)
Muchou Wang Wenzhou University Library, Wenzhou University, Wenzhou 325035, Zhejiang, China
Weifeng Pan Rongye Wang School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China
Zhuxin Hu College of Teacher Education, Wenzhou University, Wenzhou 325035, Zhejiang, China
Abstract
Complex networks are everywhere. This paper explores a new type of complex network, complex algorithm network constructed from evolutionary algorithms. The main aim of this paper is to investigate the topological properties underling the dynamics of the evolutionary algorithms. It uses complex network to describe individuals and their relationships while execution of a specific evolutionary algorithm. It introduces the main parameters in complex network theory to uncover properties of the dynamics of evolutionary algorithms. Our simulations are based on one selected evolutionary algorithm (Guo algorithm in 10 versions) and one test functions. Data obtained through the simulations are processed graphically as well as statistically. Some novel properties of the complex algorithm network are uncovered, which has great implications for the design and improvement of existing evolutionary algorithms.
Publication Details
Page(s) 108-113
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 46, Issue: 1, Year: 2012

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