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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Dynamic Multi-objective Optimization: A Survey of the State-of-the-Art
verfasst von : Carlo Raquel, Xin Yao
Erschienen in: Evolutionary Computation for Dynamic Optimization Problems
Verlag: Springer Berlin Heidelberg
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Many optimization problems involve multiple objectives, constraints and parameters that change over time. These problems are called dynamic multiobjective optimization problems (DMOPs) and have recently attracted a lot of research. In this chapter, we provide a survey of the state-of-the-art on the field of dynamic multi-objective optimization with regards to the definition and classification of DMOPS, test problems, performance measures and optimization approaches. We provide a comprehensive definition of DMOPs and identify gaps, challenges and future works in dynamic multi-objective optimization.