Abstract
As a result of the previous chapters we have seen that often the EA principles work well and get high quality results. Unfortunately, often the runtimes (especially for large problem instances) are overly long. For this in this chapter a model for heuristic learning is presented [37]. The idea of this approach is to create heuristics by an EA that obtain good results and in addition have good runtime behavior.
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© 1998 Springer Science+Business Media New York
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Drechsler, R. (1998). Heuristic Learning. In: Evolutionary Algorithms for VLSI CAD. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2866-8_7
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DOI: https://doi.org/10.1007/978-1-4757-2866-8_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5040-6
Online ISBN: 978-1-4757-2866-8
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