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Theoretical Analysis of Expected Population Variance Evolution for a Differential Evolution Variant

Publication Type : Conference Proceedings

Publisher : Computational Intelligence in Data Mining (In Smart Innovation, Systems and Technologies)

Source : Computational Intelligence in Data Mining (In Smart Innovation, Systems and Technologies), Smart Innovation, Systems and Technologies, Springer, Volume 32, p.403–416 (2015)

Campus : Coimbatore

School : School of Engineering

Center : Center for Computational Engineering and Networking

Department : Computer Science

Verified : Yes

Year : 2015

Abstract : In this paper we derive an analytical expression to describe the evolution of expected population variance for Differential Evolution (DE) variant—DE/current-to-best/1/bin (as a measure of its explorative power). The derived theoretical evolution of population variance has been validated by comparing it against the empirical evolution of population variance by DE/current-to-best/1/bin on four benchmark functions.

Cite this Research Publication : Dr. Thangavelu S., Dr. Jeyakumar G., Balakrishnan, R. M., and Dr. Shunmuga Velayutham C., “Theoretical Analysis of Expected Population Variance Evolution for a Differential Evolution Variant”, Computational Intelligence in Data Mining (In Smart Innovation, Systems and Technologies), vol. 32. Smart Innovation, Systems and Technologies, Springer, pp. 403–416, 2015.

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