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  4. The density of states - a measure of the difficulty of optimisation problems
 
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1996
Conference Paper
Titel

The density of states - a measure of the difficulty of optimisation problems

Abstract
We introduce a classifying measure of fitness landscapes - the density of states - for continuous and discrete problems, especially optimisation of sequences and graphs. By means of the Boltzmann strategy we obtain a simple algorithm to calculate the density of states for a given problem. Knowing the density of states we are able to approximate the optimal fitness value of the problem which makes it feasible to assess the effectivity of practical optimisations.
Author(s)
Rose, H.
Ebeling, W.
Asselmeyer, T.
Hauptwerk
Parallel problem solving from nature. Proceedings
Konferenz
International Conference on Evolutionary Computation 1996
International Conference on Parallel Problem Solving from Nature (PPSN) 1996
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DOI
10.1007/3-540-61723-X_985
Language
English
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