Complex-network analysis of combinatorial spaces: The NK landscape case
arXiv:1207.4442 · doi:10.1103/PhysRevE.78.066114
Abstract
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces. We use the well-known family of NK landscapes as an example. In our case the inherent network is the graph whose vertices represent the local maxima in the landscape, and the edges account for the transition probabilities between their corresponding basins of attraction. We exhaustively extracted such networks on representative NK landscape instances, and performed a statistical characterization of their properties. We found that most of these network properties are related to the search difficulty on the underlying NK landscapes with varying values of K.
arXiv admin note: substantial text overlap with arXiv:0810.3492, arXiv:0810.3484
References in corpus (2)
Cited by in corpus (6)
- Local optima networks and the performance of iterated local search
- Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
- Clustering of Local Optima in Combinatorial Fitness Landscapes
- Communities of Minima in Local Optima Networks of Combinatorial Spaces
- Local Optima Networks of NK Landscapes with Neutrality
- First-improvement vs. Best-improvement Local Optima Networks of NK Landscapes