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Population-based incremental learning with immigrants schemes in changing environments
The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. PBIL has been successfully applied to dynamic optimization problems (DOPs). It is well known ...
Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate
(IEEE Press, 2014-09-22)
The integration of immigrants schemes with ant colony optimization (ACO) algorithms showed promising results on different dynamic optimization problems (DOPs). The principle of integrating immigrants schemes within ACO is ...