Non-parametric estimation of properties of combinatorial landscapes

21Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Earlier papers [1,2] introduced some statistical estimation methods for measuring certain properties of landscapes induced by heuristic search methods: in particular, the number of optima. In this paper we extendthis approach to non-parametric methods which allow us to relax a critical assumption of the earlier approach. Two techniques are described-the jackknife and the bootstrap-based on statistical ideas of resampling, and the results of some empirical studies are presented and analysed. © Springer-Verlag Berlin Heidelberg 2002.

Cite

CITATION STYLE

APA

Eremeev, A., & Reeves, C. R. (2002). Non-parametric estimation of properties of combinatorial landscapes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2279 LNCS, pp. 31–40). Springer Verlag. https://doi.org/10.1007/3-540-46004-7_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free