Abstract
This paper investigates a development of Hillis’ co-evolving parasites scheme and looks at how it might be used for job-shop scheduling problems. It suggests that a problem defined by orthogonal constraints may be solved using multiple types of co-evolving parasite.
Areas of specialisation permit the development of solutions specialised for certain constraints; overlaps of these areas create hybrids which combat multiple kinds of parasite and therefore provide solutions.
The main advantage of such a technique is that it permits the use of an evolutionary approach without requiring the specification of a fitness function, which is problematic for many real-world problems.
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References
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© 1995 Springer-Verlag/Wien
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Holmes, J., Routen, T.W., Czarnecki, C.A. (1995). Heterogeneous Co-evolving Parasites. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_42
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_42
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
eBook Packages: Springer Book Archive