2013 | OriginalPaper | Buchkapitel
Evolutionary Dynamic Optimization: Test and Evaluation Environments
verfasst von : Shengxiang Yang, Trung Thanh Nguyen, Changhe Li
Erschienen in: Evolutionary Computation for Dynamic Optimization Problems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In the last two decades, dynamic optimization problems (DOPs) have drawn a lot of research studies from the evolutionary computation (EC) community due to the importance in real-world applications. A variety of evolutionary computation approaches have been developed to address DOPs. In parallel with developing new approaches, many benchmark and real-world DOPs have been constructed and used to compare them under different performance measures. In this chapter, we describe the concept of DOPs and review existing dynamic test problems that are commonly used by researchers to investigate their EC approaches in the literature. Some discussions regarding the major features of existing dynamic test environments are presented. Typical dynamic benchmark problems and real-world DOPs are described in detail. We also review the performance measures that are widely used by researchers to evaluate and compare their developed EC approaches for DOPs. Suggestions are also given for potential improvement regarding dynamic test and evaluation environments for the EC community.