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2011

Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate

8 years 10 months ago
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate
One approach for evolutionary algorithms (EAs) to address dynamic optimization problems (DOPs) is to maintain diversity of the population via introducing immigrants. So far all immigrant schemes developed for EAs have used fixed replacement rates. This paper examines the impact of the replacement rate on the performance of EAs with immigrant schemes in dynamic environments, and proposes a self-adaptive mechanism for EAs with immigrant schemes to address DOPs. Our experimental study showed that the new approach could avoid the tedious work of fine-tuning the parameter and outperformed other immigrant schemes using a fixed replacement rate with traditionally suggested values in most cases. Keywords evolutionary algorithm, dynamic optimization problem, immigrant scheme, self-adaptive replacement rate Citation Yu X, Tang K, Yao X. Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate. Sci China Inf Sci, 2010, 53: 1–11, doi:
Xin Yu, Ke Tang, Xin Yao
Added 25 Aug 2011
Updated 25 Aug 2011
Type Journal
Year 2011
Where CHINAF
Authors Xin Yu, Ke Tang, Xin Yao
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