Abstract
In this chapter, we introduce the stochastic search algorithms for single-objective optimization that will be subject to the analyses throughout this book. We start by describing algorithms for single-objective optimization problems in Section 4.1. There, we consider different variants of RLS and variants of a well-known evolutionary algorithm called (1+1) EA. Afterwards, we introduce some basic methods methods for analyzing stochastic search algorithms.
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© 2010 Springer-Verlag Berlin Heidelberg
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Neumann, F., Witt, C. (2010). Analyzing Stochastic Search Algorithms. In: Bioinspired Computation in Combinatorial Optimization. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16544-3_4
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DOI: https://doi.org/10.1007/978-3-642-16544-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16543-6
Online ISBN: 978-3-642-16544-3
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