Topological parameters for time-space tradeoff
Artificial Intelligence
A comparison of structural CSP decomposition methods
Artificial Intelligence
An analysis of phase transition in NK landscapes
Journal of Artificial Intelligence Research
Phase transition in a random NK landscape model
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Space Complexity of Estimation of Distribution Algorithms
Evolutionary Computation
Phase transition in a random NK landscape model
Artificial Intelligence
Performance of evolutionary algorithms on random decomposable problems
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Hi-index | 0.00 |
The concepts of treewidth and tree-decomposition on graphs generalize those of the trees. It is well established that when restricted to instances with a bounded treewidth, many NP hard problems can be solved polynomially. In this paper, we study the treewidth of the NK landscape models. We show that the NK landscape model with adjacent neighborhoods has a constant treewidth, and prove that for k ≥ 2, the treewidth of the NK landscape model with random neighborhoods asymptotically grows with the problem size n.