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Multiple Objectives

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A Brief Introduction to Continuous Evolutionary Optimization

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

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Abstract

In many design process scenarios, the optimization of more than one objective at once is a frequent problem. This setting is a particularly difficult task, when the optimization objectives are conflictive, i.e., minimization of one objective potentially results in maximization of another.

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Notes

  1. 1.

    EMOAs are also known as multi-objective evolutionary algorithms (MOEAs).

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Authors and Affiliations

  1. Department für Informatik, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany

    Oliver Kramer

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  1. Oliver Kramer
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Correspondence to Oliver Kramer .

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Kramer, O. (2014). Multiple Objectives. In: A Brief Introduction to Continuous Evolutionary Optimization. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-03422-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-03422-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03421-8

  • Online ISBN: 978-3-319-03422-5

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