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Analysis of Scalable Parallel Evolutionary Algorithms

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2 Author(s)
Jun He ; School of Computer Science, The University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K. and Scho ol of Computer Science, Beijing Jiaotong University, China. (Email: j.he@cs.bham.ac.uk) ; Xin Yao

Inherent parallelism is regarded as one of the most important advantages of evolutionary algorithms. This paper aims at making an initial study on the speedup of scalable parallel evolutionary algorithms. First the scalable parallel evo lutionary algo rithms are described; then the speedup of such scalable algorithms is defined based on the first hitting time; Using the new definition, the relationship between population diversity and superlinear speedup is analyzed; finally a case study demonstra tes how population diversity plays a crucial role in generating the superlinear speedup.

Published in:

Evolutionary Computation, 2006. CEC 2006. IEEE Congress on

Date of Conference:

16-21 July 2006

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