Abstract
In this chapter we describe the application of evolutionary techniques to a particular class of problems, namely multiobjective optimisation. We begin by introducing this class of problems and the particularly important notion of Pareto optimality. We then look at some of the current state-of-the-art multiobjective EAs (MOEAs) for this class of problems and examine the ways in which they make use of concepts of different evolutionary spaces and techniques for promoting and preserving diversity within the population.
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© 2015 Springer-Verlag Berlin Heidelberg
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Eiben, A.E., Smith, J.E. (2015). Multiobjective Evolutionary Algorithms. In: Introduction to Evolutionary Computing. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44874-8_12
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DOI: https://doi.org/10.1007/978-3-662-44874-8_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44873-1
Online ISBN: 978-3-662-44874-8
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