In this paper, we introduce a more restricted black-box model which we claim captures the working principles of many randomised search heuristics.
Feb 9, 2012 · In the unbiased black-box model, queries of new search points must be made according to Algorithm 1. I.e., the initial search point is chosen ...
In this paper, we introduce a more restricted black-box model for optimisation of pseudo-Boolean functions which we claim captures the working principles of ...
▷ Classification of problems according to inherent difficulty. ▷ Common limits on the efficiency of all algorithms. ▷ Assuming a particular model of computation ...
The complexity theory for black-box algorithms, introduced by Droste, Jansen, and Wegener (Theory Comput. Syst. 39:525–544, 2006), describes common limits ...
In this paper, we introduce a more restricted black-box model for optimisation of pseudo-Boolean functions which we claim captures the working principles of ...
Definition: A randomized black box search algorithm is identified with a probability vector µ having components indexed by algorithms, and will be referred to ...
In this paper, we introduce a more restricted black-box model which we claim captures the working principles of many randomised search heuristics including ...
People also ask
What is black box complexity?
What is the black box optimization method?
We propose a new black-box complexity model for search algorithms evaluating λ search points in parallel.
Unbiased black-box complexity was introduced as a refined complexity model for random-ized search heuristics (Lehre and Witt (2012) [24]).