Conference item
Maximally rugged NK landscapes contain the highest peaks
- Abstract:
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NK models provide a family of tunably rugged fitness landscapes used in a wide range of evolutionary computation studies. It is well known that the average height of local optima regresses to the mean of the landscape with increasing epistasis, K. This fact has been confirmed using both theoretical studies of landscape structure and empirical studies of evolutionary search. We show that the global optimum behaves quite differently: the expected value of the global maximum is highest in the ma...
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- Publication status:
- Published
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- Publisher copy:
- 10.1145/1068009.1068107
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Bibliographic Details
- Pages:
- 579-584
- Host title:
- GECCO 2005: Genetic and Evolutionary Computation Conference, Vols 1 and 2
- Publication date:
- 2005-01-01
- DOI:
- Source identifiers:
-
327266
- ISBN:
- 1595930108
Item Description
- Keywords:
- Pubs id:
-
pubs:327266
- UUID:
-
uuid:c508defe-f028-488c-aa63-6c0527776635
- Local pid:
- pubs:327266
- Deposit date:
- 2012-12-19
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- Copyright date:
- 2005
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