Population-Based Incremental Learning With Associative Memory for Dynamic Environments

Abstract

In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several approaches, such as the memory and multiple population schemes, have been developed for EAs to address dynamic problems. This paper investigates the application of the memory scheme… (More)
DOI: 10.1109/TEVC.2007.913070

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