Dynamic optimization using Self-Adaptive Differential Evolution

Janez Brest, Aleš Zamuda, Borko Boškovič, Mirjam Sepesy Maučec, V. Žumer

2009 · 173 citations · 17 references

Concepts

Abstract

In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method with aging mechanism is used. The performance of the jDE algorithm is evaluated on the set of benchmark functions provided for the CEC 2009 special session on evolutionary computation in dynamic and uncertain environments.

References

17